diff --git a/1-getting-started/lessons/1-introduction-to-iot/README.md b/1-getting-started/lessons/1-introduction-to-iot/README.md
index b739ddc7..6d1401eb 100644
--- a/1-getting-started/lessons/1-introduction-to-iot/README.md
+++ b/1-getting-started/lessons/1-introduction-to-iot/README.md
@@ -4,6 +4,14 @@
 
 > Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
 
+This lesson was taught as part of the [Hello IoT series](https://youtube.com/playlist?list=PLmsFUfdnGr3xRts0TIwyaHyQuHaNQcb6-) from the [Microsoft Reactor](https://developer.microsoft.com/reactor/?WT.mc_id=academic-17441-jabenn). The lesson was taught as 2 videos - a 1 hour lesson, and a 1 hour office hour diving deeper into parts of the lesson and answering questions.
+
+[![Lesson 1: Introduction to IoT](https://img.youtube.com/vi/bVFfcYh6UBw/0.jpg)](https://youtu.be/bVFfcYh6UBw)
+
+[![Lesson 1: Introduction to IoT - Office hours](https://img.youtube.com/vi/YI772q5v3yI/0.jpg)](https://youtu.be/YI772q5v3yI)
+
+> 🎥 Click the images above to watch the videos
+
 ## Pre-lecture quiz
 
 [Pre-lecture quiz](https://brave-island-0b7c7f50f.azurestaticapps.net/quiz/1)
diff --git a/1-getting-started/lessons/1-introduction-to-iot/translations/assignment.zh-cn.md b/1-getting-started/lessons/1-introduction-to-iot/translations/assignment.zh-cn.md
index fbcf4b2f..e7e8d448 100644
--- a/1-getting-started/lessons/1-introduction-to-iot/translations/assignment.zh-cn.md
+++ b/1-getting-started/lessons/1-introduction-to-iot/translations/assignment.zh-cn.md
@@ -8,6 +8,6 @@
 
 ## 评分表
 
-| 条件 | 优秀 | 一般 | 需改进 |
+| 标准 | 优秀 | 一般 | 需改进 |
 | -------- | --------- | -------- | ----------------- |
-| 解释项目的好处与坏处 | 把项目的好处与坏处解释得很清楚 |简要地解释项目的好处与坏处 | 没有解释项目的好处与坏处 |
+| 解释项目的好处与坏处 | 把项目的好处与坏处解释得很清楚 | 简要地解释项目的好处与坏处 | 没有解释项目的好处与坏处 |
diff --git a/1-getting-started/lessons/1-introduction-to-iot/virtual-device.md b/1-getting-started/lessons/1-introduction-to-iot/virtual-device.md
index dbda7c91..ec101791 100644
--- a/1-getting-started/lessons/1-introduction-to-iot/virtual-device.md
+++ b/1-getting-started/lessons/1-introduction-to-iot/virtual-device.md
@@ -55,11 +55,18 @@ Configure a Python virtual environment and install the pip packages for CounterF
 
 1. Activate the virtual environment:
 
-    * On Windows run:
+    * On Windows:
+        * If you are using the Command Prompt, or the Command Prompt through Windows Terminal, run:
 
-        ```cmd
-        .venv\Scripts\activate.bat
-        ```
+            ```cmd
+            .venv\Scripts\activate.bat
+            ```
+
+        * If you are using PowerShell, run:
+
+            ```powershell
+            .\.venv\Scripts\Activate.ps1
+            ```
 
     * On macOS or Linux, run:
 
@@ -67,6 +74,8 @@ Configure a Python virtual environment and install the pip packages for CounterF
         source ./.venv/bin/activate
         ```
 
+    > 💁 These commands should be run from the same location you ran the command to create the virtual environment. You will never need to navigate into the `.venv` folder, you should always run the activate command and any commands to install packages or run code from the folder you were in when you created the virtual environment.
+
 1. Once the virtual environment has been activated, the default `python` command will run the version of Python that was used to create the virtual environment. Run the following to get the version:
 
     ```sh
diff --git a/1-getting-started/lessons/2-deeper-dive/README.md b/1-getting-started/lessons/2-deeper-dive/README.md
index 7b8b2a59..f140f403 100644
--- a/1-getting-started/lessons/2-deeper-dive/README.md
+++ b/1-getting-started/lessons/2-deeper-dive/README.md
@@ -4,6 +4,14 @@
 
 > Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
 
+This lesson was taught as part of the [Hello IoT series](https://youtube.com/playlist?list=PLmsFUfdnGr3xRts0TIwyaHyQuHaNQcb6-) from the [Microsoft Reactor](https://developer.microsoft.com/reactor/?WT.mc_id=academic-17441-jabenn). The lesson was taught as 2 videos - a 1 hour lesson, and a 1 hour office hour diving deeper into parts of the lesson and answering questions.
+
+[![Lesson 2: A deeper dive into IoT](https://img.youtube.com/vi/t0SySWw3z9M/0.jpg)](https://youtu.be/t0SySWw3z9M)
+
+[![Lesson 2: A deeper dive into IoT - Office hours](https://img.youtube.com/vi/tTZYf9EST1E/0.jpg)](https://youtu.be/tTZYf9EST1E)
+
+> 🎥 Click the images above to watch the videos
+
 ## Pre-lecture quiz
 
 [Pre-lecture quiz](https://brave-island-0b7c7f50f.azurestaticapps.net/quiz/3)
diff --git a/1-getting-started/lessons/2-deeper-dive/translations/assignment.zh-cn.md b/1-getting-started/lessons/2-deeper-dive/translations/assignment.zh-cn.md
new file mode 100644
index 00000000..3c5f648b
--- /dev/null
+++ b/1-getting-started/lessons/2-deeper-dive/translations/assignment.zh-cn.md
@@ -0,0 +1,12 @@
+# 比较与对比微控制器和单板计算机
+
+## 指示
+
+这个课程涵盖了微控制器和单板计算机。创建一个表格来比较与对比它们，并记下至少两个微控制器和单板计算机相比之下选择微控制器的原因，还有至少两个微控制器和单板计算机相比之下选择单板计算机的原因。
+
+## 评分表
+
+| 标准 | 优秀 | 一般 | 需改进 |
+| -------- | --------- | -------- | ----------------- |
+| 创建一个表格来比较微控制器和单板计算机 | 创建一个有多项的列表来正确地比较和对比它们 | 创建一个只有几项的列表 | 只能想出一项，或一项也没有来比较和对比它们 |
+| 两个相比之下选择某一个的原因 | 能够为微控制器提出至少两个原因，而且为单板计算机提出至少两个原因 | 只能为微控制器提出一两个原因，而且为单板计算机提出一两个原因 | 无法为微控制器或单板计算机提出至少一个原因 |
diff --git a/1-getting-started/lessons/3-sensors-and-actuators/README.md b/1-getting-started/lessons/3-sensors-and-actuators/README.md
index 1e17e0de..9f7a1615 100644
--- a/1-getting-started/lessons/3-sensors-and-actuators/README.md
+++ b/1-getting-started/lessons/3-sensors-and-actuators/README.md
@@ -4,6 +4,14 @@
 
 > Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
 
+This lesson was taught as part of the [Hello IoT series](https://youtube.com/playlist?list=PLmsFUfdnGr3xRts0TIwyaHyQuHaNQcb6-) from the [Microsoft Reactor](https://developer.microsoft.com/reactor/?WT.mc_id=academic-17441-jabenn). The lesson was taught as 2 videos - a 1 hour lesson, and a 1 hour office hour diving deeper into parts of the lesson and answering questions.
+
+[![Lesson 3: Interact with the Physical World with Sensors and Actuators](https://img.youtube.com/vi/Lqalu1v6aF4/0.jpg)](https://youtu.be/Lqalu1v6aF4)
+
+[![Lesson 3: Interact with the Physical World with Sensors and Actuators - Office hours](https://img.youtube.com/vi/qR3ekcMlLWA/0.jpg)](https://youtu.be/qR3ekcMlLWA)
+
+> 🎥 Click the images above to watch the videos
+
 ## Pre-lecture quiz
 
 [Pre-lecture quiz](https://brave-island-0b7c7f50f.azurestaticapps.net/quiz/5)
diff --git a/1-getting-started/lessons/4-connect-internet/README.md b/1-getting-started/lessons/4-connect-internet/README.md
index 475239f8..31567fcd 100644
--- a/1-getting-started/lessons/4-connect-internet/README.md
+++ b/1-getting-started/lessons/4-connect-internet/README.md
@@ -4,6 +4,14 @@
 
 > Sketchnote by [Nitya Narasimhan](https://github.com/nitya). Click the image for a larger version.
 
+This lesson was taught as part of the [Hello IoT series](https://youtube.com/playlist?list=PLmsFUfdnGr3xRts0TIwyaHyQuHaNQcb6-) from the [Microsoft Reactor](https://developer.microsoft.com/reactor/?WT.mc_id=academic-17441-jabenn). The lesson was taught as 2 videos - a 1 hour lesson, and a 1 hour office hour diving deeper into parts of the lesson and answering questions.
+
+[![Lesson 4: Connect your Device to the Internet](https://img.youtube.com/vi/O4dd172mZhs/0.jpg)](https://youtu.be/O4dd172mZhs)
+
+[![Lesson 4: Connect your Device to the Internet - Office hours](https://img.youtube.com/vi/j-cVCzRDE2Q/0.jpg)](https://youtu.be/j-cVCzRDE2Q)
+
+> 🎥 Click the images above to watch the videos
+
 ## Pre-lecture quiz
 
 [Pre-lecture quiz](https://brave-island-0b7c7f50f.azurestaticapps.net/quiz/7)
@@ -178,11 +186,18 @@ Configure a Python virtual environment and install the MQTT pip packages.
 
 1. Activate the virtual environment:
 
-    * On Windows run:
+    * On Windows:
+        * If you are using the Command Prompt, or the Command Prompt through Windows Terminal, run:
 
-        ```cmd
-        .venv\Scripts\activate.bat
-        ```
+            ```cmd
+            .venv\Scripts\activate.bat
+            ```
+
+        * If you are using PowerShell, run:
+
+            ```powershell
+            .\.venv\Scripts\Activate.ps1
+            ```
 
     * On macOS or Linux, run:
 
@@ -190,6 +205,8 @@ Configure a Python virtual environment and install the MQTT pip packages.
         source ./.venv/bin/activate
         ```
 
+    > 💁 These commands should be run from the same location you ran the command to create the virtual environment. You will never need to navigate into the `.venv` folder, you should always run the activate command and any commands to install packages or run code from the folder you were in when you created the virtual environment.
+
 1. Once the virtual environment has been activated, the default `python` command will run the version of Python that was used to create the virtual environment. Run the following to get the version:
 
     ```sh
diff --git a/1-getting-started/lessons/4-connect-internet/code-commands/wio-terminal/nightlight/platformio.ini b/1-getting-started/lessons/4-connect-internet/code-commands/wio-terminal/nightlight/platformio.ini
index 0e141c71..1f170f4b 100644
--- a/1-getting-started/lessons/4-connect-internet/code-commands/wio-terminal/nightlight/platformio.ini
+++ b/1-getting-started/lessons/4-connect-internet/code-commands/wio-terminal/nightlight/platformio.ini
@@ -16,7 +16,7 @@ lib_deps =
     knolleary/PubSubClient @ 2.8
     bblanchon/ArduinoJson @ 6.17.3
     seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
-    seeed-studio/Seeed Arduino FS @ 2.0.3
-    seeed-studio/Seeed Arduino SFUD @ 2.0.1
+    seeed-studio/Seeed Arduino FS @ 2.1.1
+    seeed-studio/Seeed Arduino SFUD @ 2.0.2
     seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
     seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
\ No newline at end of file
diff --git a/1-getting-started/lessons/4-connect-internet/code-commands/wio-terminal/nightlight/src/main.cpp b/1-getting-started/lessons/4-connect-internet/code-commands/wio-terminal/nightlight/src/main.cpp
index e8c1ac21..8f0fd6b5 100644
--- a/1-getting-started/lessons/4-connect-internet/code-commands/wio-terminal/nightlight/src/main.cpp
+++ b/1-getting-started/lessons/4-connect-internet/code-commands/wio-terminal/nightlight/src/main.cpp
@@ -100,8 +100,7 @@ void loop()
     doc["light"] = light;
 
     string telemetry;
-    JsonObject obj = doc.as<JsonObject>();
-    serializeJson(obj, telemetry);
+    serializeJson(doc, telemetry);
 
     Serial.print("Sending telemetry ");
     Serial.println(telemetry.c_str());
diff --git a/1-getting-started/lessons/4-connect-internet/code-mqtt/wio-terminal/nightlight/platformio.ini b/1-getting-started/lessons/4-connect-internet/code-mqtt/wio-terminal/nightlight/platformio.ini
index f11c7019..3b572246 100644
--- a/1-getting-started/lessons/4-connect-internet/code-mqtt/wio-terminal/nightlight/platformio.ini
+++ b/1-getting-started/lessons/4-connect-internet/code-mqtt/wio-terminal/nightlight/platformio.ini
@@ -15,7 +15,7 @@ framework = arduino
 lib_deps =
     knolleary/PubSubClient @ 2.8
     seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
-    seeed-studio/Seeed Arduino FS @ 2.0.3
-    seeed-studio/Seeed Arduino SFUD @ 2.0.1
+    seeed-studio/Seeed Arduino FS @ 2.1.1
+    seeed-studio/Seeed Arduino SFUD @ 2.0.2
     seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
     seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
diff --git a/1-getting-started/lessons/4-connect-internet/code-telemetry/wio-terminal/nightlight/platformio.ini b/1-getting-started/lessons/4-connect-internet/code-telemetry/wio-terminal/nightlight/platformio.ini
index db2bae01..f6f4f1c0 100644
--- a/1-getting-started/lessons/4-connect-internet/code-telemetry/wio-terminal/nightlight/platformio.ini
+++ b/1-getting-started/lessons/4-connect-internet/code-telemetry/wio-terminal/nightlight/platformio.ini
@@ -15,8 +15,8 @@ framework = arduino
 lib_deps =
     knolleary/PubSubClient @ 2.8
     seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
-    seeed-studio/Seeed Arduino FS @ 2.0.3
-    seeed-studio/Seeed Arduino SFUD @ 2.0.1
+    seeed-studio/Seeed Arduino FS @ 2.1.1
+    seeed-studio/Seeed Arduino SFUD @ 2.0.2
     seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
     seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
     bblanchon/ArduinoJson @ 6.17.3
diff --git a/1-getting-started/lessons/4-connect-internet/code-telemetry/wio-terminal/nightlight/src/main.cpp b/1-getting-started/lessons/4-connect-internet/code-telemetry/wio-terminal/nightlight/src/main.cpp
index 5bf64b3e..81bcfff4 100644
--- a/1-getting-started/lessons/4-connect-internet/code-telemetry/wio-terminal/nightlight/src/main.cpp
+++ b/1-getting-started/lessons/4-connect-internet/code-telemetry/wio-terminal/nightlight/src/main.cpp
@@ -74,8 +74,7 @@ void loop()
     doc["light"] = light;
 
     string telemetry;
-    JsonObject obj = doc.as<JsonObject>();
-    serializeJson(obj, telemetry);
+    serializeJson(doc, telemetry);
 
     Serial.print("Sending telemetry ");
     Serial.println(telemetry.c_str());
diff --git a/1-getting-started/lessons/4-connect-internet/wio-terminal-mqtt.md b/1-getting-started/lessons/4-connect-internet/wio-terminal-mqtt.md
index f1dd6650..ee114562 100644
--- a/1-getting-started/lessons/4-connect-internet/wio-terminal-mqtt.md
+++ b/1-getting-started/lessons/4-connect-internet/wio-terminal-mqtt.md
@@ -25,8 +25,8 @@ Install the Arduino libraries.
     ```ini
     lib_deps =
         seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
-        seeed-studio/Seeed Arduino FS @ 2.0.3
-        seeed-studio/Seeed Arduino SFUD @ 2.0.1
+        seeed-studio/Seeed Arduino FS @ 2.1.1
+        seeed-studio/Seeed Arduino SFUD @ 2.0.2
         seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
         seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
     ```
diff --git a/1-getting-started/lessons/4-connect-internet/wio-terminal-telemetry.md b/1-getting-started/lessons/4-connect-internet/wio-terminal-telemetry.md
index 12897cf1..86dbbe62 100644
--- a/1-getting-started/lessons/4-connect-internet/wio-terminal-telemetry.md
+++ b/1-getting-started/lessons/4-connect-internet/wio-terminal-telemetry.md
@@ -53,8 +53,7 @@ Publish telemetry to the MQTT broker.
     doc["light"] = light;
 
     string telemetry;
-    JsonObject obj = doc.as<JsonObject>();
-    serializeJson(obj, telemetry);
+    serializeJson(doc, telemetry);
 
     Serial.print("Sending telemetry ");
     Serial.println(telemetry.c_str());
diff --git a/2-farm/lessons/1-predict-plant-growth/code-publish-temperature/wio-terminal/temperature-sensor/platformio.ini b/2-farm/lessons/1-predict-plant-growth/code-publish-temperature/wio-terminal/temperature-sensor/platformio.ini
index 916fd4b6..f12154eb 100644
--- a/2-farm/lessons/1-predict-plant-growth/code-publish-temperature/wio-terminal/temperature-sensor/platformio.ini
+++ b/2-farm/lessons/1-predict-plant-growth/code-publish-temperature/wio-terminal/temperature-sensor/platformio.ini
@@ -17,7 +17,7 @@ lib_deps =
     knolleary/PubSubClient @ 2.8
     bblanchon/ArduinoJson @ 6.17.3
     seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
-    seeed-studio/Seeed Arduino FS @ 2.0.3
-    seeed-studio/Seeed Arduino SFUD @ 2.0.1
+    seeed-studio/Seeed Arduino FS @ 2.1.1
+    seeed-studio/Seeed Arduino SFUD @ 2.0.2
     seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
     seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
diff --git a/2-farm/lessons/1-predict-plant-growth/code-publish-temperature/wio-terminal/temperature-sensor/src/main.cpp b/2-farm/lessons/1-predict-plant-growth/code-publish-temperature/wio-terminal/temperature-sensor/src/main.cpp
index c76c516b..21192256 100644
--- a/2-farm/lessons/1-predict-plant-growth/code-publish-temperature/wio-terminal/temperature-sensor/src/main.cpp
+++ b/2-farm/lessons/1-predict-plant-growth/code-publish-temperature/wio-terminal/temperature-sensor/src/main.cpp
@@ -77,8 +77,7 @@ void loop()
     doc["temperature"] = temp_hum_val[1];
 
     string telemetry;
-    JsonObject obj = doc.as<JsonObject>();
-    serializeJson(obj, telemetry);
+    serializeJson(doc, telemetry);
 
     Serial.print("Sending telemetry ");
     Serial.println(telemetry.c_str());
diff --git a/2-farm/lessons/3-automated-plant-watering/code-mqtt/wio-terminal/soil-moisture-sensor/platformio.ini b/2-farm/lessons/3-automated-plant-watering/code-mqtt/wio-terminal/soil-moisture-sensor/platformio.ini
index 2f148840..3888824e 100644
--- a/2-farm/lessons/3-automated-plant-watering/code-mqtt/wio-terminal/soil-moisture-sensor/platformio.ini
+++ b/2-farm/lessons/3-automated-plant-watering/code-mqtt/wio-terminal/soil-moisture-sensor/platformio.ini
@@ -16,7 +16,7 @@ lib_deps =
     knolleary/PubSubClient @ 2.8
     bblanchon/ArduinoJson @ 6.17.3
     seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
-    seeed-studio/Seeed Arduino FS @ 2.0.3
-    seeed-studio/Seeed Arduino SFUD @ 2.0.1
+    seeed-studio/Seeed Arduino FS @ 2.1.1
+    seeed-studio/Seeed Arduino SFUD @ 2.0.2
     seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
     seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
diff --git a/2-farm/lessons/3-automated-plant-watering/code-mqtt/wio-terminal/soil-moisture-sensor/src/main.cpp b/2-farm/lessons/3-automated-plant-watering/code-mqtt/wio-terminal/soil-moisture-sensor/src/main.cpp
index fd4bac4a..486d7db8 100644
--- a/2-farm/lessons/3-automated-plant-watering/code-mqtt/wio-terminal/soil-moisture-sensor/src/main.cpp
+++ b/2-farm/lessons/3-automated-plant-watering/code-mqtt/wio-terminal/soil-moisture-sensor/src/main.cpp
@@ -100,8 +100,7 @@ void loop()
     doc["soil_moisture"] = soil_moisture;
 
     string telemetry;
-    JsonObject obj = doc.as<JsonObject>();
-    serializeJson(obj, telemetry);
+    serializeJson(doc, telemetry);
 
     Serial.print("Sending telemetry ");
     Serial.println(telemetry.c_str());
diff --git a/2-farm/lessons/4-migrate-your-plant-to-the-cloud/code/wio-terminal/soil-moisture-sensor/platformio.ini b/2-farm/lessons/4-migrate-your-plant-to-the-cloud/code/wio-terminal/soil-moisture-sensor/platformio.ini
index 3daba989..32966cc9 100644
--- a/2-farm/lessons/4-migrate-your-plant-to-the-cloud/code/wio-terminal/soil-moisture-sensor/platformio.ini
+++ b/2-farm/lessons/4-migrate-your-plant-to-the-cloud/code/wio-terminal/soil-moisture-sensor/platformio.ini
@@ -15,8 +15,8 @@ framework = arduino
 lib_deps =
     bblanchon/ArduinoJson @ 6.17.3
     seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
-    seeed-studio/Seeed Arduino FS @ 2.0.3
-    seeed-studio/Seeed Arduino SFUD @ 2.0.1
+    seeed-studio/Seeed Arduino FS @ 2.1.1
+    seeed-studio/Seeed Arduino SFUD @ 2.0.2
     seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
     seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
     seeed-studio/Seeed Arduino RTC @ 2.0.0
diff --git a/2-farm/lessons/4-migrate-your-plant-to-the-cloud/code/wio-terminal/soil-moisture-sensor/src/main.cpp b/2-farm/lessons/4-migrate-your-plant-to-the-cloud/code/wio-terminal/soil-moisture-sensor/src/main.cpp
index 23ef9191..7d18409f 100644
--- a/2-farm/lessons/4-migrate-your-plant-to-the-cloud/code/wio-terminal/soil-moisture-sensor/src/main.cpp
+++ b/2-farm/lessons/4-migrate-your-plant-to-the-cloud/code/wio-terminal/soil-moisture-sensor/src/main.cpp
@@ -120,8 +120,7 @@ void loop()
     doc["soil_moisture"] = soil_moisture;
 
     string telemetry;
-    JsonObject obj = doc.as<JsonObject>();
-    serializeJson(obj, telemetry);
+    serializeJson(doc, telemetry);
 
     Serial.print("Sending telemetry ");
     Serial.println(telemetry.c_str());
diff --git a/2-farm/lessons/5-migrate-application-to-the-cloud/README.md b/2-farm/lessons/5-migrate-application-to-the-cloud/README.md
index 3d428cec..3811b456 100644
--- a/2-farm/lessons/5-migrate-application-to-the-cloud/README.md
+++ b/2-farm/lessons/5-migrate-application-to-the-cloud/README.md
@@ -131,11 +131,18 @@ The Azure Functions CLI can be used to create a new Functions app.
 
 1. Activate the virtual environment:
 
-    * On Windows run:
+    * On Windows:
+        * If you are using the Command Prompt, or the Command Prompt through Windows Terminal, run:
 
-        ```cmd
-        .venv\Scripts\activate.bat
-        ```
+            ```cmd
+            .venv\Scripts\activate.bat
+            ```
+
+        * If you are using PowerShell, run:
+
+            ```powershell
+            .\.venv\Scripts\Activate.ps1
+            ```
 
     * On macOS or Linux, run:
 
@@ -143,6 +150,8 @@ The Azure Functions CLI can be used to create a new Functions app.
         source ./.venv/bin/activate
         ```
 
+    > 💁 These commands should be run from the same location you ran the command to create the virtual environment. You will never need to navigate into the `.venv` folder, you should always run the activate command and any commands to install packages or run code from the folder you were in when you created the virtual environment.
+
 1. Run the following command to create a Functions app in this folder:
 
     ```sh
diff --git a/2-farm/lessons/5-migrate-application-to-the-cloud/translations/assignment.bn.md b/2-farm/lessons/5-migrate-application-to-the-cloud/translations/assignment.bn.md
index 0697bf5a..41bae594 100644
--- a/2-farm/lessons/5-migrate-application-to-the-cloud/translations/assignment.bn.md
+++ b/2-farm/lessons/5-migrate-application-to-the-cloud/translations/assignment.bn.md
@@ -54,4 +54,3 @@
 | --------- | ------------------ | ------------- | --------------------- |
 |  HTTP ট্রিগার তৈরী | সঠিক নামকরণের মাধ্যমে ২টি ট্রিগার তৈরি করে রিলে অন/অফ করা হয়েছে | সঠিক নামকরণের মাধ্যমে ১টি ট্রিগার তৈরি করেছে | কোন ট্রিগার তৈরী করতে সমর্থ হয়নি |
 | এইচটিটিপি ট্রিগারগুলি থেকে রিলে নিয়ন্ত্রণ করা | উভয় ট্রিগারকে আইওটি হাবের সাথে সংযুক্ত করতে এবং যথোপযুক্তভাবে রিলে নিয়ন্ত্রণ করতে সক্ষম হয়েছিল| কেবল ১টি ট্রিগারকে আইওটি হাবের সাথে সংযুক্ত করতে এবং যথোপযুক্তভাবে রিলে নিয়ন্ত্রণ করতে সক্ষম হয়েছিল | ট্রিগারকে আইওটি হাবের সাথে সংযুক্ত করতে সমর্থ হয়নি |
-{"mode":"full","isActive":false}
diff --git a/2-farm/lessons/6-keep-your-plant-secure/translations/.dummy.md b/2-farm/lessons/6-keep-your-plant-secure/translations/.dummy.md
deleted file mode 100644
index 6e7db247..00000000
--- a/2-farm/lessons/6-keep-your-plant-secure/translations/.dummy.md
+++ /dev/null
@@ -1,9 +0,0 @@
-# Dummy File
-
-This file acts as a placeholder for the `translations` folder. <br>
-**Please remove this file after adding the first translation**
-
-For the instructions, follow the directives in the [translations guide](https://github.com/microsoft/IoT-For-Beginners/blob/main/TRANSLATIONS.md) .
-
-## THANK YOU
-We truly appreciate your efforts!
diff --git a/2-farm/lessons/6-keep-your-plant-secure/translations/README.bn.md b/2-farm/lessons/6-keep-your-plant-secure/translations/README.bn.md
new file mode 100644
index 00000000..f9de5322
--- /dev/null
+++ b/2-farm/lessons/6-keep-your-plant-secure/translations/README.bn.md
@@ -0,0 +1,245 @@
+# উদ্ভিদের নিরাপত্তা নিশ্চিতকরণ
+
+![A sketchnote overview of this lesson](../../../../sketchnotes/lesson-10.jpg)
+
+> স্কেচনোটটি তৈরী করেছেন [Nitya Narasimhan](https://github.com/nitya). বড় সংস্করণে দেখার জন্য ছবিটিতে ক্লিক করতে হবে।
+
+## লেকচার-পূর্ববর্তী কুইজ
+
+[লেকচার-পূর্ববর্তী কুইজ](https://brave-island-0b7c7f50f.azurestaticapps.net/quiz/19)
+
+## সূচনা
+
+
+গত কয়েকটি পাঠে আমরা মাটি পর্যবেক্ষণের জন্য একটি আইওটি ডিভাইস তৈরি করেছি এবং এটিকে ক্লাউডের সাথে সংযুক্ত করেছি। তবে যদি হ্যাকাররা আমাদের আইওটি ডিভাইসগুলির নিয়ন্ত্রণ দখল করতে সক্ষম হয় তবে কী হবে? কী হবে যদি তারা মাটির আর্দ্রতার  সঠিক মান পরিবর্তন করে, উচ্চমান পাঠায় - যাতে আমাদের গাছপালা কখনই সেচ না পায় অথবা আমাদের সেচব্যবস্থা সবসময় চালু রেখে যদি আমাদের গাছগুলিকে বেশি পানিতে ডুবিয়ে রাখে ?
+
+এই পাঠে আমরা আইওটি ডিভাইসগুলি নিরাপত্তার বিষয়ে শিখব। যেহেতু এটি এই প্রকল্পের শেষ পাঠ, আমরা আমাদের ক্লাউড সার্ভিসগুলি কীভাবে গুছিয়ে রাখতে পারি যাতে ব্যয় হ্রাস হয় - তা শিখব।
+
+এই পাঠে আমরা দেখবো:
+
+* [কেন আমাদের আইওটি ডিভাইসগুলি সুরক্ষিত করা দরকার?](#কেন-আমাদের-আইওটি-ডিভাইসগুলি-সুরক্ষিত-করা-দরকার)
+* [সংকেতলিপি (Cryptography)](#সংকেতলিপি)
+* [আমাদের আইওটি ডিভাইস নিরাপদ রাখা](#আইওটি-ডিভাইস-নিরাপত্তা)
+* [X.509 Certificate তৈরী ও ব্যবহার](#X.509-Certificate-তৈরী-ও-ব্যবহার)
+
+> 🗑 এটি এই প্রজেক্টের শেষ লেসন, সুতরাং এই পাঠ এবং এর অ্যাসাইনমেন্ট শেষ করার পরে, আমাদের ক্লাউড ্সার্ভিসগুলি আমাদেরকে অবশ্যই গুছিয়ে রেখে দিতে হবে বা clean up করতে হবে। অ্যাসাইনমেন্টটি সম্পন্ন করার জন্য আমাদের যেসব সার্ভিসগুলির প্রয়োজন হবে, সেগুলো আগে নিশ্চিত করতে হবে।
+
+> এক্ষেত্রে [প্রজেক্ট ক্লীন-আপ গাইডে](../../../../../translations/clean-up.bn.md) নির্দেশনা পাওয়া যাবে যাতে আমরা ক্লাউড সার্ভিস গুছিয়ে রাখতে পারি।
+
+## কেন আমাদের আইওটি ডিভাইসগুলি সুরক্ষিত করা দরকার?
+
+আইওটি সুরক্ষার মধ্যে এটি নিশ্চিত করা হয় যে কেবলমাত্র নির্দিষ্ট কিছু ডিভাইসই আমাদের ক্লাউড আইওটি ্সার্ভিসতে সংযোগ করতে পারে এবং তাদের টেলিমেট্রি পাঠাতে পারে। এটিও নিশ্চিত করা হয় যেন কেবল আমাদের ক্লাউড সার্ভিসই আমাদের ডিভাইসে নির্দেশ পাঠাতে পারে। আইওটি ডেটা চিকিত্সা বা বেশ অন্তরঙ্গ ডেটা সহ ব্যক্তিগতও হতে পারে, তাই এই তথ্য ফাঁস হওয়া বন্ধ করতে আমাদের পুরো ব্যবস্থাপনার  সুরক্ষা বিবেচনা করা উচিত।
+
+যদি আমাদের আইওটি অ্যাপ্লিকেশনটি সুরক্ষিত না হয় তবে বিভিন্ন ঝুঁকি রয়েছে:
+
+* একটি নকল ডিভাইস আমাদের অ্যাপ্লিকেশনটিকে ভুলভাবে প্রতিক্রিয়া দিতে পারে। উদাহরণস্বরূপ, মাটির আর্দ্রতার সঠিক মান পরিবর্তন করে, উচ্চমান পাঠালে আমাদের সেচ ব্যবস্থা কখনই চালু হবেনা এবং আমাদের গাছপালা পানির অভাবে মারা যাবে।
+
+* অননুমোদিত ব্যবহারকারীরা ব্যক্তিগত বা ব্যবসায়িক গুরুত্বপূর্ণ ডেটা পড়তে পারবে।
+
+* হ্যাকাররা কোন ডিভাইসে এমনভাবে কমান্ডগুলি প্রেরণ করতে পারে যাতে ডিভাইসটি বা এর সাথে হার্ডওয়ার এর ক্ষতি করতে পারে।
+
+* আইওটি ডিভাইসের সাথে সংযোগ স্থাপনের মাধ্যমে, হ্যাকাররা এটি অতিরিক্ত নেটওয়ার্কগুলিতে প্রবেশের অনুমতি পেয়ে যেতে পারে।
+
+* ক্ষতিকারক ব্যবহারকারীরা ব্যক্তিগত ডেটা অ্যাক্সেস করতে এবং এটি ব্ল্যাকমেইলের জন্য ব্যবহার করতে পারে
+
+এগুলি বাস্তব পরিস্থিতি এবং সর্বদাই ঘটে।  পূর্ববর্তী পাঠগুলিতে কিছু উদাহরণ দেওয়া হয়েছিল, এখানে আরও কিছু রয়েছে:
+
+* 2018 সালে, হ্যাকাররা ডেটা চুরির জন্য ক্যাসিনোর নেটওয়ার্কে অ্যাক্সেস পেতে একটি ফিশ ট্যাঙ্ক থার্মোস্টেটে একটি ওপেন ওয়াইফাই অ্যাক্সেস পয়েন্ট ব্যবহার করেছিল। [সূত্রঃ The Hacker News - Casino Gets Hacked Through Its Internet-Connected Fish Tank Thermometer](https://thehackernews.com/2018/04/iot-hacking-thermometer.html)
+* ২০১৬ সালে মিরাই বটনেট denial of service (Dos) এর মাধ্যমে Dyn নামক একটি ইন্টারনেট সার্ভিস প্রদানকারী সরবরাহকারীর বিরুদ্ধে আক্রমণ করে। এই বটনেট সাধারণ আইওটি ডিভাইস যেমন ডিভিআর এবং ক্যামেরাগুলিতে ডিফল্ট ব্যবহারকারীর নাম এবং পাসওয়ার্ড ব্যবহার করে এবং সেখান থেকে আক্রমণ চালিয়েছিল connect [সূত্রঃ The Guardian - DDoS attack that disrupted internet was largest of its kind in history, experts say](https://www.theguardian.com/technology/2016/oct/26/ddos-attack-dyn-mirai-botnet)
+* Spiral Toys এর কাছে ইন্টারনেটে সকলের জন্য এভেইলেবল ডেটাবেস ছিলো যেটিতে তাদের ক্লাউডপেটস সংযুক্ত খেলনাগুলির ব্যবহারকারীর তথ্য ছিলো । [সূত্রঃ Troy Hunt - Data from connected CloudPets teddy bears leaked and ransomed, exposing kids' voice messages](https://www.troyhunt.com/data-from-connected-cloudpets-teddy-bears-leaked-and-ransomed-exposing-kids-voice-messages/).
+* Strava তে একজন এথলিট আরেকজনকে পাশাপাশি অতিক্রম করে গেলে, একে অপরের রূট সহ অনেক ব্যক্তিগত তথ্য ফাঁস করে দেয়  [সূত্রঃ Kim Komndo - Fitness app could lead a stranger right to our home — change this setting](https://www.komando.com/security-privacy/strava-fitness-app-privacy/755349/).
+
+✅ কিছু গবেষণা করা যাক: আরও উদাহরণের জন্য অনুসন্ধান করি আইওটি হ্যাকস এবং আইওটি ডেটা লঙ্ঘনের ঘটনাগুলি, বিশেষত ব্যক্তিগত বিষয়াদি যেমন ইন্টারনেট সংযুক্ত টুথব্রাশ বা স্কেল ব্যবহার করে হ্যাক। এই হ্যাকগুলি ভুক্তভোগী বা গ্রাহকদের উপর কী প্রভাব ফেলতে পারে সে সম্পর্কে চিন্তা করি।
+
+> 💁 নিরাপত্তা একটি বিশাল বিষয় এবং এই পাঠটি কেবলমাত্র আমাদের ডিভাইসটিকে ক্লাউডের সাথে সংযুক্ত করার জন্য কয়েকটি প্রাথমিক বিষয় শেখাবে। অন্যান্য বিষয় যা আলোচনা করা হবে না তার মধ্যে রয়েছে ট্রানজিটে ডেটা পরিবর্তনের জন্য নজরদারি, সরাসরি ডিভাইস হ্যাকিং, বা ডিভাইস কনফিগারেশনে পরিবর্তন ইত্যাদি । IoT হ্যাকিং এর মত সমস্যা মোকাবেলা করতে [Azure Defender for IoT](https://azure.microsoft.com/services/azure-defender-for-iot/?WT.mc_id=academic-17441-jabenn) তৈরী করা হয়েছে। এটি আমাদের কম্পিউটারে ব্যবহৃত এন্টিভাইরাসেরই মতো, যা ছোট এবং কম পাওয়ারে চলমান আইওটি  ডিভাইসের জন্য বানানো।
+
+## সংকেতলিপি
+
+যখন কোন ডিভাইস আইওটি পরিষেবাতে সংযুক্ত থাকে, তখন এটি নিজেকে সনাক্ত করতে একটি আইডি ব্যবহার করে। সমস্যা হল এই আইডিটি ক্লোন করা যায় - হ্যাকার একটি নকল ডিভাইস সেট আপ করতে পারে যা একই আইডিটিকে আসল ডিভাইস হিসাবে ব্যবহার করে তবে ভুল ডেটা প্রেরণ করে।
+
+![Both valid and malicious devices could use the same ID to send telemetry](../../../../images/iot-device-and-hacked-device-connecting.png)
+
+এই সমস্যার সমাধানের জন্য কেবলমাত্র ডিভাইস এবং ক্লাউডের পরিচিত কিছু ভ্যালু বা গোপন সংকেত দ্বারা ডেটা আদান প্রদানের সময় তা অগোছালো করে একধরণের গোপন সংকেত-নির্ভর করে দেয়া। এই প্রক্রিয়াকে বলে *encryption* এবং যে ভ্যালু বা গোপন সংকেত দ্বারা ডেটাকে পরিবর্তিত করা হয়, তাকে বলে *encryption key* ।
+
+![If encryption is used, then only encrypted messages will be accepted, others will be rejected](../../../../images/iot-device-and-hacked-device-connecting-encryption.png)
+
+যে ক্লাউড পরিষেবাটি একটি প্রক্রিয়া ব্যবহার করে ডেটাটিকে একটি পঠনযোগ্য ফর্ম্যাটে রূপান্তর করতে পারে সেই প্রক্রিয়াকে বলে *decryption (ডিক্রিপশন)* এবং এই কাজে একই এনক্রিপশন কী বা একটি *ডিক্রিপশন কী* ব্যবহার করা হয়। যদি এনক্রিপ্ট করা বার্তা কী দ্বারা ডিক্রিপ্ট করা না যায়, সেক্ষেত্রে ধরে নেয়া হয় যে ডিভাইসটি হ্যাক হয়ে গেছে এবং বার্তাটি তখন প্রত্যাখ্যান করা হয়।
+
+এনক্রিপশন এবং ডিক্রিপশনের টেকনিককে একসাথে বলা হয় - *সংকেতলিপি (Cryptography)*  ।
+
+### আদিপর্যায়ের সংকেতলিপি 
+
+সবথেকে আদিযুগের সংকেতলিপি (Cryptography) ছিলো সাইফার প্রতিস্থাপন যা প্রায় ৩৫০০ বছর আগে ব্যবহার করা হতো। এগুলোতে একটি বর্ণের পরিবর্তে আরেকটি বসানো হত। উদাহরণস্বরূপ, [সিজার  সাইফারে](https://wikipedia.org/wiki/Caesar_cipher) বর্ণগুলো সামনে বা পেছনে নির্দিষ্ট সংখ্যক ঘর অবস্থান পরিবর্তন করা  হতো যে পরিবর্তনের মান কেবল প্রেরক ও গ্রাহক জানতো।
+
+আবার [Vigenère cipher](https://wikipedia.org/wiki/Vigenère_cipher) এর ক্ষেত্রে বর্ণগুলো ভিন্ন ভিন্ন ঘর পর্যন্ত মান পরিবর্তন করতো যা সাইফার টেক্সট থেকেও কঠিন হয়ে যায়।
+
+ক্রিপ্টোগ্রাফি বিভিন্ন উদ্দেশ্যে যেমন প্রাচীন মেসোপটেমিয়ায় একটি কুমার গ্লাইজ রেসিপি রক্ষা করা বা ভারতে প্রেমের গোপন চিঠি লেখার জন্য বা প্রাচীন মিশরীয় যাদুকরী মন্ত্রকে গোপন রাখার মতো কাজে ব্যবহার করা হয়েছিল।
+
+### আধুনিক সংকেতলিপি (Cryptography)
+
+আধুনিক ক্রিপ্টোগ্রাফি অনেক বেশি উন্নত, এটি প্রাথমিক পদ্ধতির চেয়ে ক্র্যাক করা আরও অনেক কঠিন করে তোলে। আধুনিক ক্রিপ্টোগ্রাফি ব্রুট ফোর্স আক্রমণকে অকার্যকর করার জন্য অনেকগুলি সম্ভাব্য কী(key) দিয়ে ডেটা এনক্রিপ্ট করতে জটিল গণিত ব্যবহার করে।
+
+সুরক্ষিত যোগাযোগের জন্য এটি বিভিন্ন উপায়ে ব্যবহার করা হয়। যদি আমরা এই লেসনটি যদি গিটহাব এ পড়ি, তবে আমরা লক্ষ্য করতে পারি যে ওয়েব সাইটের ঠিকানাটি *https* দিয়ে শুরু হয়, যার অর্থ আমাদের ব্রাউজার এবং গিটহাবের ওয়েব সার্ভারের মধ্যে যোগাযোগ এনক্রিপ্ট করা আছে। যদি কেউ আমাদের ব্রাউজার এবং গিটহাবের মধ্যে প্রবাহিত ইন্টারনেট ট্র্যাফিক পড়তে সক্ষম হয়ও তবুও তারা এনক্রিপ্ট করা  ডেটা পড়তে সক্ষম হবে না। আমাদের কম্পিউটার এমনকি আমাদের হার্ডড্রাইভে সমস্ত ডেটা এনক্রিপ্ট করতে পারে যাতে কেউ যদি এটি চুরি করে, তবুও যেন তারা আমাদের পাসওয়ার্ড ছাড়াই আমাদের ডেটা পড়তে না পারে।
+
+> 🎓 HTTPS হলো HyperText Transfer Protocol **Secure**
+
+দুর্ভাগ্যক্রমে, সবকিছুই নিরাপদ নয়। কিছু ডিভাইসের কোন সুরক্ষা নেই, অন্যকিছু ডিভাইসে আবার সহজেই ক্র্যাক করা যায় এমন কী(KEY) গুলি ব্যবহার করে বা কখনও কখনও একই কী(KEY) ব্যবহার করে একই ধরণের সমস্ত ডিভাইসে। খুব ব্যক্তিগত আইওটি ডিভাইসগুলির জন্য অ্যাকাউন্ট রয়েছে যেগুলির সাথে ওয়াইফাই বা ব্লুটুথের মাধ্যমে সংযোগ করার জন্য পাসওয়ার্ড রয়েছে। আমরা যদি আমাদের নিজস্ব ডিভাইসে সংযোগ করতে পারি তবে কিন্তু আমরা চাইলে অন্য কারও ডিভাইসেও সংযোগ করতে পারি (অনুমতি ব্যাতিরেকে এটি করা অপরাধ)। একবার সংযুক্ত হয়ে আমরা কিছু খুব প্রাইভেট ডেটা অ্যাক্সেস করতে পারি, বা তাদের ডিভাইসে নিয়ন্ত্রণ রাখতে পারি।
+
+> 💁 আধুনিক সংকেতলিপি (Cryptography) এর জটিলতা এবং এনক্রিপশন ভাঙতে বিলিয়ন বিলিয়ন বছর লাগবে - এমন দাবি স্বত্বেও কোয়ান্টাম কম্পিউটিং এর আবির্ভাবের ফলে এই এনক্রিপশন কী (KEY) গুলো ভেঙে ফেলা অনেক সহজ হয়ে গিয়েছে।
+
+### Symmetric এবং asymmetric keys
+
+এনক্রিপশন ২ভাবে হয় - symmetric এবং asymmetric.
+
+**Symmetric** এনক্রিপশন ডেটা এনক্রিপ্ট এবং ডিক্রিপ্ট করতে একই কী ব্যবহার করে। প্রেরক এবং প্রাপক উভয়েরই একই কী (KEY)টি জানা দরকার। এটি সর্বনিম্ন সুরক্ষা স্তর, কারণ কী (KEY)টি শেয়ার করতে হবে। প্রেরকের দ্বারা প্রাপকের কাছে একটি এনক্রিপ্ট করা বার্তা প্রেরণের জন্য, প্রেরককে প্রথমে প্রাপককে কী (KEY) টি পাঠাতে হবে।
+
+![Symmetric key encryption uses the same key to encrypt and decrypt a message](../../../../images/send-message-symmetric-key.png)
+
+If the key gets stolen in transit, or the sender or recipient get hacked and the key is found, the encryption can be cracked.
+
+যদি ট্রানজিটে কী (KEY) টি চুরি হয়ে যায়, বা প্রেরক বা প্রাপক হ্যাক হয়ে যায় এবং কী(KEY)টি পাওয়া যায়, তাহলে এনক্রিপশনটি ক্র্যাক হয়ে যাবে।
+
+![Symmetric key encryption is only secure if a hacker doesn't get the key - if so they can intercept and decrypt the message](../../../../images/send-message-symmetric-key-hacker.png)
+
+**Asymmetric** এনক্রিপশনটিতে 2টি KEY ব্যবহৃত হয় - একটি এনক্রিপশন কী এবং একটি ডিক্রিপশন কী, এটি পাবলিক/প্রাইভেট KEY Pair হিসাবে উল্লেখ করা হয়। বার্তাটি এনক্রিপ্ট করার জন্য সর্বজনীন (PUBLIC) কী ব্যবহৃত হয় তবে এটি ডিক্রিপ্ট করতে তা ব্যবহার করা যায় না। ব্যক্তিগত (PRIVATE) KEY এখানে বার্তাটি ডিক্রিপ্ট করার জন্য ব্যবহৃত হয় তবে এটি আবার এনক্রিপ্ট করার জন্য ব্যবহার করা যায় না।
+
+![Asymmetric encryption uses a different key to encrypt and decrypt. The encryption key is sent to any message senders so they can encrypt a message before sending it to the recipient who owns the keys](../../../../images/send-message-asymmetric.png)
+
+প্রাপক তার পাবলিক KEY শেয়ার করে এবং প্রেরক এটি ব্যবহার করে বার্তা এনক্রিপ্ট করে। ম্যাসেজ পাঠানোর পরে,প্রাপক তার প্রাইভেট কী দ্বারা তা ডিক্রিপ্ট করে। এসিমেট্রিক এনক্রিপশন তুলনামূলকভাবে বেশি নিরাপদ কারণ এখানে প্রাপকের প্রাইভেট কী কখনই শেয়ার করা হয়না। পাবলিক কী তে যে কেউই একসেস পেতে পারে, তবে এটি দিয়ে কেবলমাত্র এনক্রিপ্ট করা যাবে। 
+
+সিমেট্রিক পদ্ধতিটি এসিমেট্রিক এর তুলনায় দ্রুত কাজ করতে পারে, যদিও তা কম নিরাপদ। কিছু ক্ষেত্রে উভয় পদ্ধতিই ব্যবহৃত হয়। এসিমেট্রিক পদ্ধতিতে এনক্রিপ্ট করা, আবার সিমেট্রিক কী টি শেয়ার করে সকল ডেটা সিমেট্রিক কী দ্বারা এনক্রিপ্ট করা হয়। এতে করে প্রেরক ও প্রাপকের মধ্যে সিমেট্রিক কী শেয়ার করলেও সেটা অনেক বেশি নিরাপদ থাকে আবার দ্রুতও হয়।
+
+## আইওটি ডিভাইস নিরাপত্তা
+
+আইওটি ডিভাইসের নিরাপত্তার জন্য সিমেট্রিক এবং এসিমেট্রিক পদ্ধতি ব্যবহার করা যায়। সিমেট্রিকটি সহজ, তবে কম নিরাপদ।
+
+### সিমেট্রিক KEYs
+
+আইওটি হাবের সাথে আমাদের ডিভাইসের যোগাযোগ এর জন্য আমরা কানেকশন স্ট্রিং ব্যবহার করেছিলাম। উদাহরণস্বরূপ :
+
+```output
+HostName=soil-moisture-sensor.azure-devices.net;DeviceId=soil-moisture-sensor;SharedAccessKey=Bhry+ind7kKEIDxubK61RiEHHRTrPl7HUow8cEm/mU0=
+```
+
+এই কানেকশন স্ট্রিং ৩ভাগে বিভক্ত যার প্রতিটি অংশ সেমিকোলন দ্বারা পৃথকীকৃত, যেখানে প্রতি অংশে Key এবং Value রয়েছে।
+
+| কী | ভ্যালু | বর্ণনা |
+| --- | ----- | ----------- |
+| Hostname | `soil-moisture-sensor.azure-devices.net` | এটি আইওটি হাবের URL |
+| DeviceID | `soil-moisture-sensor` | এটি ডিভাইসের ইউনিক আইডি |
+| SharedAccessKey | `Bhry+ind7kKEIDxubK61RiEHHRTrPl7HUow8cEm/mU0=` | ডিভাইস এবং আইওটি হাবের কাছে থাকা সিমেট্রিক KEY |
+
+কানেকশন স্ট্রিং এর শেষাংশ `SharedAccessKey` মূলত একটি symmetric key যা ডিভাইস এবং আইওটি হাব উভয়ের কাছেই রয়েছে। এটি কখনই ডিভাইস থেকে ক্লাউডে বা ক্লাউড থেকে ডিভাইসে প্রেরণ করা হয়না। বরং এটি পরিবাহিত ডেটাকে এনক্রিপ্ট করে।
+
+✅ একটি এক্সপেরিমেন্ট করা যাক। আমরা আইওটি ডিভাইসে সংযুক্ত হবার সময় কানেকশন স্ট্রিং এর `SharedAccessKey` পরিবর্তন করে দিলে কী হবে? চেষ্টা করে দেখো।
+
+
+ডিভাইসটি প্রথমে আইওটি হাবের সাথে সংযোগ দেওয়ার চেষ্টা করলে, তখন URL সহ shared access signature (SAS) টোকেন , একটি  টাইমস্ট্যাম্প যেটির সিগনেচার একসেস একটি  নির্দিষ্ট সময় পর (সাধারণত বর্তমান সময় থেকে 1 দিন পর্যন্ত)  শেষ হয়ে যায় এবং একটি সিগনেচার - এসব প্রেরণ করে। এই সিগনেচারে কানেকশন স্ট্রিং থেকে ইউআরএল, মেয়াদোত্তীর্ণের সময় এবং এনক্রিপটেড শেয়ারড একসেস কী থাকে।
+
+আইওটি হাব শেয়ারড একসেস কী দিয়ে সিগনেচারটি ডিক্রিপ্ট করে এবং যদি ডিক্রিপ্ট করা মানটি ইউআরএল এবং মেয়াদোত্তীর্ণের সময়ের সাথে মিলে যায় তবে ডিভাইসটি সংযোগ করার অনুমতি পায়। এটিও যাচাই করা হয় যে বর্তমান সময়টি মেয়াদোত্তীর্ণের সময়ের আগে যাতে করে কোন দুষ্ট (malicious) ডিভাইস কোন আসল ডিভাইসের এসএএস টোকেন ক্যাপচার করে তা  ব্যবহার করতে না পারে।
+
+প্রেরকটি সঠিক ডিভাইস কিনা তা যাচাই করার জন্য এটি একটি উত্তম উপায়। ডিক্রিপ্ট এবং এনক্রিপ্ট করা কিছু জ্ঞাত ডেটা প্রেরণ করে সার্ভার ডিভাইসটিকে যাচাই করে দেখতে পারে যে এনক্রিপ্ট করা ডেটার ডিক্রিপ্ট ভার্সনটি, প্রেরণ করা ডিক্রিপ্ট করা সংস্করণের সাথে মেলে কিনা। যদি এটি মেলে, তবে প্রেরক এবং প্রাপক উভয়েরই একই Symmetric Encryption Key রয়েছে।
+
+> 💁 যেহেতু এখানে মেয়াদোত্তীর্ণের একটি বিষয় রয়েছে, আমাদের আইওটি ডিভাইসের জন্য তাই বর্তমান সময়টি জানা জরুরী। সাধারণত [NTP](https://wikipedia.org/wiki/Network_Time_Protocol) সার্ভার  থেকেই এটি সময় সংক্রান্ত ডেটা নেয়। সময় সঠিক  না হলে, কানেকশন হবেনা।
+
+সংযোগের পরে, ডিভাইস থেকে আইওটি হাবের কাছে বা আইওটি হাব থেকে ডিভাইসে প্রেরিত সমস্ত ডেটা shared access key দিয়ে এনক্রিপ্ট করা হবে।
+
+✅ একাধিক ডিভাইস একই সংযোগের স্ট্রিং শেয়ার করলে কী ঘটবে বলে মনে হয়?
+
+> 💁 কোডের মধ্যেই এই KEY সংরক্ষণ করা নিরাপত্তার প্রেক্ষিতে  বেশ বাজে একটি চর্চা। কোন হ্যাকার যদি আমাদের সোর্স কোড পায় তবে তারা আমাদের KEY পেয়ে যেতে পারে। এছাড়াও কোড রিলিজ করার সময় এটি আরও কঠিন হয় কারণ আমাদের প্রতিটি ডিভাইসের জন্য একটি আপডেট কী দিয়ে পুনরায় ্তা পরিবর্তন করতে হবে। একটি হার্ডওয়্যার সুরক্ষা মডিউল থেকে এই KEY লোড করা ভাল উপায়। এই মডিউল হলো আইওটি ডিভাইসের একটি চিপ যা এনক্রিপ্ট করা মানগুলিকে স্টোর করে যা আমাদের কোড দ্বারা  একসেস করা যাবে। 
+>
+> আইওটি শেখার সময় KEY গুলো কোডে রাখলে কাজ করা সহজ হয়, যেমন আমরা পূর্ববর্তী পাঠে করেছিলাম। তবে আমাদের অবশ্যই নিশ্চিত করতে হবে যে এই KEY জনসাধারণের জন্য সোর্স কোডে উন্মুক্ত করা হয়নি।
+
+Devices have 2 keys, and 2 corresponding connection strings. This allows we to rotate the keys - that is switch from one key to another if the first gets compromised, and re-generate the first key.
+
+ডিভাইসগুলিতে 2 টি কী এবং 2 টি কানেকশন স্ট্রিং রয়েছে। এটি আমাদের কীগুলির মধ্যে পরিবর্তনের অনুমতি দেয় । যদি প্রথম কী টি সমস্যার মুখে পড়ে, তবে ২য়টি ব্যবহার করা এবং প্রথম কী পুনরায় তৈরী করে।
+
+### X.509 সার্টিফিকেট
+
+যখন আমরা কোনও পাবলিক/প্রাইভেট কী পেয়ার এর সাথে এসিমেট্রিক এনক্রিপশন ব্যবহার করি, আমাদেরকে কেউ ডেটা প্রেরণ করতে চাইলে  তাকে আমাদের পাবলিক কী সরবরাহ করতে হবে। সমস্যাটি হল কীভাবে আমাদের প্রাপক নিশ্চিত করতে পারেন যে এটি আসলেই আমাদের পাবলিক কী এবং অন্য কেউ আমাদের রূপধারণ করে সংযোগের চেষ্টা করছে না? KEY সরবরাহ করার পরিবর্তে, আমরা বরং আমাদের পাবলিক কী এমন একটি  সার্টিফিকেটের ভিতরে সরবরাহ করতে পারি যা একটি বিশ্বস্ত তৃতীয় পক্ষ দ্বারা যাচাই করা হয়েছে এবং এটিকে বলা হয় X.509 সার্টিফিকেট।
+
+X.509 সার্টিফিকেট হলো ডিজিটাল ডকুমেন্ট যেগুলো পাবলিক/প্রাইভেট কী পেয়ার এর পাবলিক অংশটি ধারণ করে। এগুলি সাধারণত বেশ কয়েকটি বিশ্বস্ত সংস্থার দ্বারা ইস্যু করা হয় যেগুলোকে বলা হয় [Certification authorities](https://wikipedia.org/wiki/Certificate_authority) (CAs) এবং এসকল সংস্থা এই ডকুমেন্টগুলো সাইন করে দেয় যা বোঝায় যে key গুলো সঠিক এবং ঠিক ব্যবহারকারীর কাছ থেকেই আসছে। যেভাবে আমরা পাসপোর্ট বা ড্রাইভিং লাইসেন্সে বিশ্বাস করি (যেহেতু নির্দিষ্ট কর্তৃপক্ষ দ্বারা তা স্বীকৃত,  সেভাবেই এখানেও আমরা সার্টিফিকেটগুলো বিশ্বাস করি। এগুলোর জন্য অর্থ ব্যয় হয়, তাই আমরা 'স্ব-স্বাক্ষর'ও করতে পারি, এটি পরীক্ষার উদ্দেশ্যে আমাদের স্বাক্ষরিত একটি সার্টিফিকেট তৈরি করে।
+
+> 💁 আমাদের কোনও প্রোডাকশন রিলিজের জন্য স্ব-স্বাক্ষরিত সার্টিফিকেট ব্যবহার করা উচিত নয়।
+
+These certificates have a number of fields in them, including who the public key is from, the details of the CA who issued it, how long it is valid for, and the public key itself. Before using a certificate, it is good practice to verify it by checking that is was signed by the original CA.
+
+এই সার্টিফিকেট গুলির মধ্যে বেশ কয়েকটি ক্ষেত্র রয়েছে যেমন - কোথায় পাবলিক কী রয়েছে , যে CA এটির স্বীকৃতি দিয়েছে তার তথ্যাবলি, কতক্ষণের জন্য এটি বৈধ হবে তার বিবরণ এবং সেই পাবলিক কী। কোন সার্টিফিকেট  ব্যবহার করার আগে, এটি যে সিএ স্বাক্ষর করেছে তা যাচাই করা ভাল একটি চর্চা।
+
+✅ সার্টিফিকেট গুলির সকল ক্ষেত্র এর বর্ণনা [Microsoft Understanding X.509 Public Key Certificates tutorial](https://docs.microsoft.com/azure/iot-hub/tutorial-x509-certificates?WT.mc_id=academic-17441-jabenn#certificate-fields) এ রয়েছে।
+
+X.509 সার্টিফিকেট ব্যবহার করার সময়, প্রেরক এবং প্রাপক উভয়েরই নিজস্ব public and private keys এবং সেইসাথে উভয়েরই X.509 শংসাপত্র থাকবে যাতে পাবলিক কী রয়েছে। এরপরে তারা X.509 সার্টিফিকেট কোনভাবে বিনিময় করেন, একে অপরকে তারা পাঠানো ডেটা এনক্রিপ্ট করার জন্য পাবলিক কী এবং তাদের প্রাপ্ত ডেটা ডিক্রিপ্ট করার জন্য তাদের নিজস্ব প্রাইভেট কী ব্যবহার করে।
+
+![Instead of sharing a public key, we can share a certificate. The user of the certificate can verify that it comes from we by checking with the certificate authority who signed it.](../../../../images/send-message-certificate.png)
+
+X.509 শংসাপত্রগুলি ব্যবহার করার একটি বড় সুবিধা হল এগুলি ডিভাইসের মধ্যে শেয়ার করা যায়। আমরা একটি শংসাপত্র তৈরি করতে পারি, এটি আইওটি হাবে আপলোড করতে পারি এবং আমাদের সমস্ত ডিভাইসের জন্য এটি ব্যবহার করতে পারি। আইওটি হাব থেকে প্রাপ্ত বার্তাগুলি ডিক্রিপ্ট করার জন্য প্রতিটি ডিভাইসটির তখন কেবল প্রাইভেট কী জানতে হবে।
+
+আইওটি হাবের কাছে পাঠানো বার্তাগুলি এনক্রিপ্ট করার জন্য আমাদের ডিভাইস দ্বারা ব্যবহৃত শংসাপত্রটি মাইক্রোসফ্ট প্রকাশ করে। এটি একই শংসাপত্র যা প্রচুর অ্যাজুর সার্ভিস ব্যবহার করে এবং কখনও কখনও SDK-গুলিতে অন্তর্নির্মিত থাকে।
+
+> 💁 মনে রাখতে হবে, একটি public key আসলেই 'public'. অ্যাজুরে পাবলিক কী কেবল এখানে প্রেরিত ডেটা এনক্রিপ্ট করতে ব্যবহার করা যেতে পারে, এটি ডিক্রিপ্ট করার জন্য নয়, সুতরাং এটি সোর্স কোড সহ সর্বত্র শেয়ার করা যায়।  উদাহরণস্বরূপ, আমরা [Azure IoT C SDK source code](https://github.com/Azure/azure-iot-sdk-c/blob/master/certs/certs.c) এও তা দেখতে পাবো।
+
+✅ X.509 certificates এ কিছু নির্দিষ্ট শব্দ বা ভাষা রয়েছে। অপিরিচিত কোন  শোব্দের মুখোমুখি হলে আমরা [The layman’s guide to X.509 certificate jargon](https://techcommunity.microsoft.com/t5/internet-of-things/the-layman-s-guide-to-x-509-certificate-jargon/ba-p/2203540?WT.mc_id=academic-17441-jabenn) পড়লে তা পাবো।
+
+## X.509 certificate তৈরী ও ব্যবহার
+
+একটি X.509 শংসাপত্র তৈরী করার পদক্ষেপগুলি হল:
+
+1. একটি public/private key pair তৈরী করা। এটির জন্য বহুল ব্যবহৃত একটি এলগরিদম হলো [Rivest–Shamir–Adleman](https://wikipedia.org/wiki/RSA_(cryptosystem))(RSA) পদ্ধতি।
+
+1. CA বা self-signing এর মাধ্যমে পাবলিক কী এবং প্রয়োজনীয় তথ্য সাবমিট করা।
+
+আইওটি হাবটিতে একটি নতুন ডিভাইস আইডেনটিটি তৈরি করতে এবং স্বয়ংক্রিয়ভাবে পাবলিক / প্রাইভেট কী পেয়ার তৈরী করতে এবং স্ব-স্বাক্ষরিত শংসাপত্র তৈরি করার জন্য আজুর সিএলআইয়ের কমান্ড রয়েছে।
+
+> 💁 কাজের ধাপগুলো বিস্তারিত দেখতে হলে আমরা বরং CLI এর পরিবর্তে [Using OpenSSL to create self-signed certificates tutorial in the Microsoft IoT Hub documentation](https://docs.microsoft.com/azure/iot-hub/tutorial-x509-self-sign?WT.mc_id=academic-17441-jabenn) দেখতে পারি।
+
+### কাজ -  X.509 certificate  দ্বারা ডিভাইস আইডেনটিটি তৈরী
+
+1. নতুন ডিভাইস আইডেনটিটি তৈরীর জন্য নিম্নের কমান্ড রান দিই, স্বয়ংক্রিয়ভাবে কী এবং শংসাপত্রগুলি তৈরি করা হচ্ছে:
+
+    ```sh
+    az iot hub device-identity create --device-id soil-moisture-sensor-x509 \
+                                      --am x509_thumbprint \
+                                      --output-dir . \
+                                      --hub-name <hub_name>
+    ```
+
+    এখানে `<hub_name>` এর জায়গায় আমাদের IoT Hub এ ব্যবহৃত নামটি দিতে হবে।
+
+     এটি `soil-moisture-sensor-x509` এর জন্য একটি আইডি সহ ডিভাইস তৈরী করে দিবে যা আগের লেসনে তৈরী করা ডিভাইস থেকে ভিন্ন । এছাড়াও ২টি ফাইল তৈরী হবে:
+
+    * `soil-moisture-sensor-x509-key.pem` - এই ফাইলে ডিভাইসের জন্য প্রাইভেট কী থাকে।
+    * `soil-moisture-sensor-x509-cert.pem` - এটিতে X.509 সার্টিফিকেট থাকে।
+
+    এই ফাইল গুলো সুরক্ষিত রাখতে হবে! পাবলিকে একসেস  পাওয়ার মত করে রাখা যাবেনা।
+
+### কাজ - ডিভাইস কোডে X.509 certificate ব্যবহার
+
+নিম্নের প্রাসঙ্গিক কোন একটি গাইড অনুসরণ করতে হবে ঃ
+
+* [Arduino - Wio Terminal](wio-terminal-x509.md)
+* [Single-board computer - Raspberry Pi/Virtual IoT device](single-board-computer-x509.md)
+
+---
+
+## 🚀 চ্যালেঞ্জ
+
+Azure সার্ভিস তৈরী, পরিচালনা এবং ডিলিট করার জন্য অনেকগুলো উপায় রয়েছে। এর মধ্যে  একটি হলো [Azure Portal](https://portal.azure.com?WT.mc_id=academic-17441-jabenn) - একটি ওয়য়েব-ভিত্তিক  ইন্টারফেস এক্সেখান থেকে আমরা সহজেই Azure services ব্যবহার করতে পারি।
+
+আমরা [portal.azure.com](https://portal.azure.com?WT.mc_id=academic-17441-jabenn) এ গিয়ে পোর্টালটি দেখতে পারি। এখানে আইওটি হাব তৈরী করে, পরে ডিলিট করে দিই।
+
+**Hint** - পোর্টালের মাধ্যমে পরিষেবাগুলি তৈরি করার সময়, আমাদের শুরুতেই কোনও রিসোর্স গ্রুপ তৈরি করার দরকার নেই, যখন পরিষেবাটি তৈরি করা হয় তখন একটি রিসোর্স গ্রুপ তৈরি করা যেতে পারে। সবশেষে নিশ্চিত হয়ে নিতে হবে যে আমরা কাজ শেষ হয়ে গেলে এটি মুছে ফেলেছি!
+
+Azure Portal নিয়ে ডকুমেন্ট, টিউটোরিয়াল, গাইড [Azure portal documentation](https://docs.microsoft.com/azure/azure-portal/?WT.mc_id=academic-17441-jabenn) এ পাওয়া যাবে।
+
+## লেকচার-পরবর্তী কুইজ
+
+[লেকচার পরবর্তী কুইজ](https://brave-island-0b7c7f50f.azurestaticapps.net/quiz/20)
+
+## রিভিউ এবং স্ব-অধ্যয়ন
+
+* সংকেতলিপি এর ইতিহাস [History of Cryptography - Wikipedia](https://wikipedia.org/wiki/History_of_সংকেতলিপি (Cryptography))থেকে জেনে নিই।
+* X.509 সার্টিফিকেট সম্পর্কে [X.509 page on Wikipedia](https://wikipedia.org/wiki/X.509) থেকে বিশদভাবে জ্ঞান অর্জন করি।
+
+## এসাইনমেন্ট
+
+[নতুন আইওটি ডিভাইস তৈরি](assignment.bn.md)
diff --git a/2-farm/lessons/6-keep-your-plant-secure/translations/assignment.bn.md b/2-farm/lessons/6-keep-your-plant-secure/translations/assignment.bn.md
new file mode 100644
index 00000000..3f23fe46
--- /dev/null
+++ b/2-farm/lessons/6-keep-your-plant-secure/translations/assignment.bn.md
@@ -0,0 +1,15 @@
+# নতুন আইওটি ডিভাইস তৈরি
+
+## নির্দেশাবলী
+
+আমরা ডিজিটাল কৃষিকাজ এবং উদ্ভিদ বৃদ্ধির পূর্বাভাস দেওয়ার ডেটা সংগ্রহ করার জন্য আইওটি ডিভাইসগুলি কীভাবে ব্যবহার করব এবং মাটির আর্দ্রতা পাঠের উপর ভিত্তি করে সেচকার্য স্বয়ংক্রিয়ভাবে কীভাবে করব সে সম্পর্কে গত 6 টি পাঠে শিখেছি।
+
+আমাদের পছন্দমতো সেন্সর এবং অ্যাকচুয়েটর ব্যবহার করে নতুন আইওটি ডিভাইস তৈরি করতে হবে। একটি আইওটি হাবে টেলিমেট্রি প্রেরণ করি এবং সার্ভারলেস কোডের মাধ্যমে কোন অ্যাকচুয়েটরকে নিয়ন্ত্রণ করতে এটি ব্যবহার করি। আমরা তো ইতিমধ্যেই বেশ কিছু সেন্সর এবং অ্যাকচুয়েটর ব্যবহার শিখেছি - সেগুলো বা একদম নতুন কিছু নিয়ে কাজ করতে পারি।
+
+## এসাইনমেন্ট মূল্যায়ন মানদন্ড
+
+| ক্রাইটেরিয়া | দৃষ্টান্তমূলক (সর্বোত্তম) | পর্যাপ্ত (মাঝারি) | উন্নতি প্রয়োজন (নিম্নমান) |
+| --------- | ------------------ | -------------- | -------------------- |
+| সেন্সর এবং অ্যাকচুয়েটর ব্যবহার করতে একটি আইওটি ডিভাইস কোড করা | সেন্সর এবং অ্যাকচুয়েটর এর সাথে কার্যকর আইওটি ডিভাইস তৈরী করেছে |হয় সেন্সর বা অ্যাকচুয়েটর এর সাথে কার্যকর আইওটি ডিভাইস তৈরী করেছে| সেন্সর এবং অ্যাকচুয়েটর এর সাথে কার্যকর আইওটি ডিভাইস তৈরী করতে ব্যার্থ |
+| আইওটি ডিভাইসের সাথে আইওটি হাবের কানেকশন | একটি আইওটি হাব ডেপ্লয় করতে এবং এতে টেলিমেট্রি পাঠাতে সক্ষম হয়েছিল এবং এর থেকে নির্দেশ গ্রহণ করতে পেরেছিল | একটি আইওটি হাব ডেপ্লয় করতে এবং হয় এতে টেলিমেট্রি পাঠাতে সক্ষম হয়েছিল অথবা এর থেকে নির্দেশ গ্রহণ করতে পেরেছিল | একটি আইওটি হাব ডেপ্লয় করতে এবং সংযোগ তৈরী করতে ব্যার্থ |
+| সার্ভারলেস কোড দ্বারা অ্যাকচুয়েটর নিয়ন্ত্রণ | টেলিমেট্রি ইভেন্টগুলির দ্বারা ট্রিগার হওয়া ডিভাইস নিয়ন্ত্রণ করতে একটি অ্যাজুর ফাংশন ডেপ্লয় করতে সক্ষম | টেলিমেট্রি ইভেন্টগুলি দ্বারা ট্রিগার করা একটি অ্যাজুর ফাংশন তৈরী করতে সক্ষম হয়েছিল কিন্তু অ্যাকচুয়েটর ব্যবহার করতে পারেনি | অ্যাজুর ফাংশন ডেপ্লয় করতে ব্যার্থ |
diff --git a/2-farm/translations/Readme.hi.md b/2-farm/translations/Readme.hi.md
new file mode 100644
index 00000000..60c61651
--- /dev/null
+++ b/2-farm/translations/Readme.hi.md
@@ -0,0 +1,20 @@
+# आई.ओ.टी के साथ खेती
+
+जैसे-जैसे जनसंख्या बढ़ती है, वैसे-वैसे कृषि की मांग भी बढ़ती है। मगर उपलब्ध भूमि की मात्रा नहीं बदलती है, लेकिन जलवायु बदलती है जो याहा किसानों को और भी अधिक चुनौतियाँ देती है, विशेषकर 2 बिलियन [निर्वाह किसान](https://wikipedia.org/wiki/Subsistence_agriculture) जो इस बात पर भरोसा करते हैं कि वे क्या उगाते हैं अपने परिवार का भरण-पोषण करने के लिए। आई.ओ.टी किसानों को बेहतर निर्णय लेने में मदद कर सकता है कि क्या उगाया जाए और कब कटाई की जाए, पैदावार बढ़ाई जाए, शारीरिक श्रम की मात्रा को कम किया जाए और कीटों का पता लगाया जाए और उनसे निपटा जा सके।
+
+इन 6 पाठों में आप सीखेंगे कि खेती को बेहतर बनाने और स्वचालित करने के लिए इंटरनेट ऑफ थिंग्स को कैसे लागू किया जाए।
+
+> 💁 ये पाठ कुछ क्लाउड संसाधनों का उपयोग करेंगे। यदि आप इस परियोजना के सभी पाठों को पूरा नहीं करते हैं, तो सुनिश्चित करें कि आप [अपनी परियोजना को साफ करें](पाठ/6-कीप-योर-प्लांट-सिक्योर/रीडएमई.एमडी#क्लीन-अप-योर-प्रोजेक्ट) चरण का पालन करें। [पाठ ६] में (पाठ/6-कीप-योर-प्लांट-सिक्योर/रीडएमई.एमडी)।
+
+## विषय
+
+1. [आईओटी के साथ पौधे की वृद्धि की भविष्यवाणी करें](lessons/1-predict-plant-growth/README.md)
+1. [मिट्टी की नमी का पता लगाएं] (lessons/2-detect-soil-moisture/README.md)
+1. [स्वचालित पौधों को पानी देना] (lessons/3-automated-plant-watering/README.md)
+1. [अपने पौधे को क्लाउड में माइग्रेट करें](lessons/4-migrate-your-plant-to-the-cloud/README.md)
+1. [अपने एप्लिकेशन लॉजिक को क्लाउड पर माइग्रेट करें](lessons/5-migrate-application-to-the-cloud/README.md)
+1. [अपने संयंत्र को सुरक्षित रखें](lessons/6-keep-your-plant-secure/README.md)
+
+## क्रेडिट
+
+सभी पाठ [जिम बेनेट](https://GitHub.com/JimBobBennett) द्वारा ️♥️ साथ लिखे गए थे 
diff --git a/3-transport/lessons/2-store-location-data/code/wio-terminal/gps-sensor/platformio.ini b/3-transport/lessons/2-store-location-data/code/wio-terminal/gps-sensor/platformio.ini
index 6aee0066..1f6ca207 100644
--- a/3-transport/lessons/2-store-location-data/code/wio-terminal/gps-sensor/platformio.ini
+++ b/3-transport/lessons/2-store-location-data/code/wio-terminal/gps-sensor/platformio.ini
@@ -15,8 +15,8 @@ framework = arduino
 lib_deps =
     bblanchon/ArduinoJson @ 6.17.3
     seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
-    seeed-studio/Seeed Arduino FS @ 2.0.3
-    seeed-studio/Seeed Arduino SFUD @ 2.0.1
+    seeed-studio/Seeed Arduino FS @ 2.1.1
+    seeed-studio/Seeed Arduino SFUD @ 2.0.2
     seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
     seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
     seeed-studio/Seeed Arduino RTC @ 2.0.0
diff --git a/4-manufacturing/lessons/2-check-fruit-from-device/code-camera/wio-terminal/fruit-quality-detector/platformio.ini b/4-manufacturing/lessons/2-check-fruit-from-device/code-camera/wio-terminal/fruit-quality-detector/platformio.ini
index d2d6f51d..ebe92e30 100644
--- a/4-manufacturing/lessons/2-check-fruit-from-device/code-camera/wio-terminal/fruit-quality-detector/platformio.ini
+++ b/4-manufacturing/lessons/2-check-fruit-from-device/code-camera/wio-terminal/fruit-quality-detector/platformio.ini
@@ -14,8 +14,8 @@ board = seeed_wio_terminal
 framework = arduino
 lib_deps =
     seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
-    seeed-studio/Seeed Arduino FS @ 2.0.3
-    seeed-studio/Seeed Arduino SFUD @ 2.0.1
+    seeed-studio/Seeed Arduino FS @ 2.1.1
+    seeed-studio/Seeed Arduino SFUD @ 2.0.2
     seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
     seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
     seeed-studio/Seeed Arduino RTC @ 2.0.0
diff --git a/4-manufacturing/lessons/2-check-fruit-from-device/code-classify/wio-terminal/fruit-quality-detector/platformio.ini b/4-manufacturing/lessons/2-check-fruit-from-device/code-classify/wio-terminal/fruit-quality-detector/platformio.ini
index 5f3eb8a7..826cb386 100644
--- a/4-manufacturing/lessons/2-check-fruit-from-device/code-classify/wio-terminal/fruit-quality-detector/platformio.ini
+++ b/4-manufacturing/lessons/2-check-fruit-from-device/code-classify/wio-terminal/fruit-quality-detector/platformio.ini
@@ -14,8 +14,8 @@ board = seeed_wio_terminal
 framework = arduino
 lib_deps =
     seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
-    seeed-studio/Seeed Arduino FS @ 2.0.3
-    seeed-studio/Seeed Arduino SFUD @ 2.0.1
+    seeed-studio/Seeed Arduino FS @ 2.1.1
+    seeed-studio/Seeed Arduino SFUD @ 2.0.2
     seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
     seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
     seeed-studio/Seeed Arduino RTC @ 2.0.0
diff --git a/4-manufacturing/lessons/3-run-fruit-detector-edge/code-classify/wio-terminal/fruit-quality-detector/platformio.ini b/4-manufacturing/lessons/3-run-fruit-detector-edge/code-classify/wio-terminal/fruit-quality-detector/platformio.ini
index 5f3eb8a7..826cb386 100644
--- a/4-manufacturing/lessons/3-run-fruit-detector-edge/code-classify/wio-terminal/fruit-quality-detector/platformio.ini
+++ b/4-manufacturing/lessons/3-run-fruit-detector-edge/code-classify/wio-terminal/fruit-quality-detector/platformio.ini
@@ -14,8 +14,8 @@ board = seeed_wio_terminal
 framework = arduino
 lib_deps =
     seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
-    seeed-studio/Seeed Arduino FS @ 2.0.3
-    seeed-studio/Seeed Arduino SFUD @ 2.0.1
+    seeed-studio/Seeed Arduino FS @ 2.1.1
+    seeed-studio/Seeed Arduino SFUD @ 2.0.2
     seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
     seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
     seeed-studio/Seeed Arduino RTC @ 2.0.0
diff --git a/5-retail/lessons/2-check-stock-device/code-count/wio-terminal/stock-counter/platformio.ini b/5-retail/lessons/2-check-stock-device/code-count/wio-terminal/stock-counter/platformio.ini
index 5f3eb8a7..826cb386 100644
--- a/5-retail/lessons/2-check-stock-device/code-count/wio-terminal/stock-counter/platformio.ini
+++ b/5-retail/lessons/2-check-stock-device/code-count/wio-terminal/stock-counter/platformio.ini
@@ -14,8 +14,8 @@ board = seeed_wio_terminal
 framework = arduino
 lib_deps =
     seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
-    seeed-studio/Seeed Arduino FS @ 2.0.3
-    seeed-studio/Seeed Arduino SFUD @ 2.0.1
+    seeed-studio/Seeed Arduino FS @ 2.1.1
+    seeed-studio/Seeed Arduino SFUD @ 2.0.2
     seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
     seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
     seeed-studio/Seeed Arduino RTC @ 2.0.0
diff --git a/5-retail/lessons/2-check-stock-device/code-detect/wio-terminal/stock-counter/platformio.ini b/5-retail/lessons/2-check-stock-device/code-detect/wio-terminal/stock-counter/platformio.ini
index 5f3eb8a7..826cb386 100644
--- a/5-retail/lessons/2-check-stock-device/code-detect/wio-terminal/stock-counter/platformio.ini
+++ b/5-retail/lessons/2-check-stock-device/code-detect/wio-terminal/stock-counter/platformio.ini
@@ -14,8 +14,8 @@ board = seeed_wio_terminal
 framework = arduino
 lib_deps =
     seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
-    seeed-studio/Seeed Arduino FS @ 2.0.3
-    seeed-studio/Seeed Arduino SFUD @ 2.0.1
+    seeed-studio/Seeed Arduino FS @ 2.1.1
+    seeed-studio/Seeed Arduino SFUD @ 2.0.2
     seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
     seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
     seeed-studio/Seeed Arduino RTC @ 2.0.0
diff --git a/6-consumer/README.md b/6-consumer/README.md
index 4b986ad9..d3c8c9d8 100644
--- a/6-consumer/README.md
+++ b/6-consumer/README.md
@@ -6,6 +6,8 @@ The latest iterations are now part of our smart devices. In kitchens in homes al
 
 In these 4 lessons you'll learn how to build a smart timer, using AI to recognize your voice, understand what you are asking for, and reply with information about your timer. You'll also add support for multiple languages.
 
+> ⚠️ Working with speech and microphone data uses a lot of memory, meaning it is easy to hit limits on microcontrollers. The project here works around these issues, but be aware the Wio Terminal labs are complex and may take more time that other labs in this curriculum.
+
 > 💁 These lessons will use some cloud resources. If you don't complete all the lessons in this project, make sure you [clean up your project](../clean-up.md).
 
 ## Topics
diff --git a/6-consumer/lessons/1-speech-recognition/code-record/wio-terminal/smart-timer/platformio.ini b/6-consumer/lessons/1-speech-recognition/code-record/wio-terminal/smart-timer/platformio.ini
index c5999f17..c8443c8d 100644
--- a/6-consumer/lessons/1-speech-recognition/code-record/wio-terminal/smart-timer/platformio.ini
+++ b/6-consumer/lessons/1-speech-recognition/code-record/wio-terminal/smart-timer/platformio.ini
@@ -13,7 +13,7 @@ platform = atmelsam
 board = seeed_wio_terminal
 framework = arduino
 lib_deps =
-    seeed-studio/Seeed Arduino FS @ 2.0.3
-    seeed-studio/Seeed Arduino SFUD @ 2.0.1
+    seeed-studio/Seeed Arduino FS @ 2.1.1
+    seeed-studio/Seeed Arduino SFUD @ 2.0.2
 build_flags = 
     -DSFUD_USING_QSPI
diff --git a/6-consumer/lessons/1-speech-recognition/code-speech-to-text/wio-terminal/smart-timer/platformio.ini b/6-consumer/lessons/1-speech-recognition/code-speech-to-text/wio-terminal/smart-timer/platformio.ini
index 5adbe733..9d79654b 100644
--- a/6-consumer/lessons/1-speech-recognition/code-speech-to-text/wio-terminal/smart-timer/platformio.ini
+++ b/6-consumer/lessons/1-speech-recognition/code-speech-to-text/wio-terminal/smart-timer/platformio.ini
@@ -13,8 +13,8 @@ platform = atmelsam
 board = seeed_wio_terminal
 framework = arduino
 lib_deps =
-    seeed-studio/Seeed Arduino FS @ 2.0.3
-    seeed-studio/Seeed Arduino SFUD @ 2.0.1
+    seeed-studio/Seeed Arduino FS @ 2.1.1
+    seeed-studio/Seeed Arduino SFUD @ 2.0.2
     seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
     seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
     seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
diff --git a/6-consumer/lessons/1-speech-recognition/code-speech-to-text/wio-terminal/smart-timer/src/speech_to_text.h b/6-consumer/lessons/1-speech-recognition/code-speech-to-text/wio-terminal/smart-timer/src/speech_to_text.h
index a7ce075f..74b4b4fd 100644
--- a/6-consumer/lessons/1-speech-recognition/code-speech-to-text/wio-terminal/smart-timer/src/speech_to_text.h
+++ b/6-consumer/lessons/1-speech-recognition/code-speech-to-text/wio-terminal/smart-timer/src/speech_to_text.h
@@ -67,6 +67,11 @@ public:
         return text;
     }
 
+    String AccessToken()
+    {
+        return _access_token;
+    }
+
 private:
     String getAccessToken()
     {
diff --git a/6-consumer/lessons/1-speech-recognition/wio-terminal-audio.md b/6-consumer/lessons/1-speech-recognition/wio-terminal-audio.md
index 302d67d9..8b3a45bb 100644
--- a/6-consumer/lessons/1-speech-recognition/wio-terminal-audio.md
+++ b/6-consumer/lessons/1-speech-recognition/wio-terminal-audio.md
@@ -24,8 +24,8 @@ Once each buffer has been captured, it can be written to the flash memory. Flash
 
     ```ini
     lib_deps =
-        seeed-studio/Seeed Arduino FS @ 2.0.3
-        seeed-studio/Seeed Arduino SFUD @ 2.0.1
+        seeed-studio/Seeed Arduino FS @ 2.1.1
+        seeed-studio/Seeed Arduino SFUD @ 2.0.2
     ```
 
 1. Open the `main.cpp` file and add the following include directive for the flash memory library to the top of the file:
diff --git a/6-consumer/lessons/1-speech-recognition/wio-terminal-microphone.md b/6-consumer/lessons/1-speech-recognition/wio-terminal-microphone.md
index 66e65dc8..8cd8c32d 100644
--- a/6-consumer/lessons/1-speech-recognition/wio-terminal-microphone.md
+++ b/6-consumer/lessons/1-speech-recognition/wio-terminal-microphone.md
@@ -18,6 +18,8 @@ To connect the ReSpeaker 2-Mics Pi Hat you will need 40 pin-to-pin (also referre
 
 > 💁 If you are comfortable soldering, then you can use the [40 Pin Raspberry Pi Hat Adapter Board For Wio Terminal](https://www.seeedstudio.com/40-Pin-Raspberry-Pi-Hat-Adapter-Board-For-Wio-Terminal-p-4730.html) to connect the ReSpeaker.
 
+You will also need an SD card to use to download and playback audio. The Wio Terminal only supports SD Cards up to 16GB in size, and these need to be formatted as FAT32 or exFAT.
+
 ### Task - connect the ReSpeaker Pi Hat
 
 1. With the Wio Terminal powered off, connect the ReSpeaker 2-Mics Pi Hat to the Wio Terminal using the jumper leads and the GPIO sockets on the back of the Wio Terminal:
@@ -59,3 +61,15 @@ To connect the ReSpeaker 2-Mics Pi Hat you will need 40 pin-to-pin (also referre
     * If you are using a speaker with a 3.5mm jack, or headphones, insert them into the 3.5mm jack socket.
 
       ![A speaker connected to the ReSpeaker via the 3.5mm jack socket](../../../images/respeaker-35mm-speaker.png)
+
+### Task - set up the SD card
+
+1. Connect the SD Card to your computer, using na external reader if you don't have an SD Card slot.
+
+1. Format the SD Card using the appropriate tool on your computer, making sure to use a FAT32 or exFAT file system
+
+1. Insert the SD card into the SD Card slot on the left-hand side of the Wio Terminal, just below the power button. Make sure the card is all the way in and clicks in - you may need a thin tool or another SD Card to help push it all the way in.
+
+    ![Inserting the SD card into the SD card slot below the power switch](../../../images/wio-sd-card.png)
+
+    > 💁 To eject the SD Card, you need to push it in slightly and it will eject. You will need a thin tool to do this such as a flat-head screwdriver or another SD Card.
diff --git a/6-consumer/lessons/1-speech-recognition/wio-terminal-speech-to-text.md b/6-consumer/lessons/1-speech-recognition/wio-terminal-speech-to-text.md
index a1e2cddb..9010417e 100644
--- a/6-consumer/lessons/1-speech-recognition/wio-terminal-speech-to-text.md
+++ b/6-consumer/lessons/1-speech-recognition/wio-terminal-speech-to-text.md
@@ -180,6 +180,15 @@ The audio can be sent to the speech service using the REST API. To use the speec
 
     This code builds the URL for the token issuer API using the location of the speech resource. It then creates an `HTTPClient` to make the web request, setting it up to use the WiFi client configured with the token endpoints certificate. It sets the API key as a header for the call. It then makes a POST request to get the certificate, retrying if it gets any errors. Finally the access token is returned.
 
+1. To the `public` section, add a method to get the access token. This will be needed in later lessons to convert text to speech.
+
+    ```cpp
+    String AccessToken()
+    {
+        return _access_token;
+    }
+    ```
+
 1. To the `public` section, add an `init` method that sets up the token client:
 
     ```cpp
@@ -497,7 +506,7 @@ The audio can be sent to the speech service using the REST API. To use the speec
     Serial.println(text);
     ```
 
-1. Build this code, upload it to your Wio Terminal and test it out through the serial monitor. Press the C button (the one on the left-hand side, closest to the power switch), and speak. 4 seconds of audio will be captured, then converted to text.
+1. Build this code, upload it to your Wio Terminal and test it out through the serial monitor. Once you see `Ready` in the serial monitor, press the C button (the one on the left-hand side, closest to the power switch), and speak. 4 seconds of audio will be captured, then converted to text.
 
     ```output
     --- Available filters and text transformations: colorize, debug, default, direct, hexlify, log2file, nocontrol, printable, send_on_enter, time
diff --git a/6-consumer/lessons/2-language-understanding/README.md b/6-consumer/lessons/2-language-understanding/README.md
index b2a7cc9f..0c3a5082 100644
--- a/6-consumer/lessons/2-language-understanding/README.md
+++ b/6-consumer/lessons/2-language-understanding/README.md
@@ -274,7 +274,7 @@ Rather than calling LUIS from the IoT device, you can use serverless code with a
     func new --name text-to-timer --template "HTTP trigger"
     ```
 
-    This will crate an HTTP trigger called `text-to-timer`.
+    This will create an HTTP trigger called `text-to-timer`.
 
 1. Test the HTTP trigger by running the functions app. When it runs you will see the endpoint listed in the output:
 
@@ -493,9 +493,35 @@ Rather than calling LUIS from the IoT device, you can use serverless code with a
 
 ### Task - make your function available to your IoT device
 
-1. For your IoT device to call your REST endpoint, it will need to know the URL. When you accessed it earlier, you used `localhost`, which is a shortcut to access REST endpoints on your local machine. To allow you IoT device to get access, you need to either:
+1. For your IoT device to call your REST endpoint, it will need to know the URL. When you accessed it earlier, you used `localhost`, which is a shortcut to access REST endpoints on your local machine. To allow you IoT device to get access, you need to either publish to the cloud, or get your IP address to access it locally.
+
+    > ⚠️ If you are using a Wio Terminal, it is easier to run the function app locally, as there will be a dependency on libraries that mean you cannot deploy the function app in the same way as you have done before. Run the function app locally and access it via your computers IP address. If you do want to deploy to the cloud, information will be provided in a later lesson on the way to do this.
+
+    * Publish the Functions app - follow the instructions in earlier lessons to publish your functions app to the cloud. Once published, the URL will be `https://<APP_NAME>.azurewebsites.net/api/text-to-timer`, where `<APP_NAME>` will be the name of your functions app. Make sure to also publish your local settings.
+
+      When working with HTTP triggers, they are secured by default with a function app key. To get this key, run the following command:
+
+      ```sh
+      az functionapp keys list --resource-group smart-timer \
+                               --name <APP_NAME>                               
+      ```
+
+      Copy the value of the `default` entry from the `functionKeys` section.
+
+      ```output
+      {
+        "functionKeys": {
+          "default": "sQO1LQaeK9N1qYD6SXeb/TctCmwQEkToLJU6Dw8TthNeUH8VA45hlA=="
+        },
+        "masterKey": "RSKOAIlyvvQEQt9dfpabJT018scaLpQu9p1poHIMCxx5LYrIQZyQ/g==",
+        "systemKeys": {}
+      }
+      ```
+
+      This key will need to be added as a query parameter to the URL, so the final URL will be `https://<APP_NAME>.azurewebsites.net/api/text-to-timer?code=<FUNCTION_KEY>`, where `<APP_NAME>` will be the name of your functions app, and  `<FUNCTION_KEY>` will be your default function key.
+
+      > 💁 You can change the type of authorization of the HTTP trigger using `authlevel` setting in the `function.json` file. You can read more about this in the [configuration section of the Azure Functions HTTP trigger documentation on Microsoft docs](https://docs.microsoft.com/azure/azure-functions/functions-bindings-http-webhook-trigger?tabs=python&WT.mc_id=academic-17441-jabenn#configuration).
 
-    * Publish the Functions app - follow the instructions in earlier lessons to publish your functions app to the cloud. Once published, the URL will be `http://<APP_NAME>.azurewebsites.net/api/text-to-timer`, where `<APP_NAME>` will be the name of your functions app.
     * Run the functions app locally, and access using the IP address - you can get the IP address of your computer on your local network, and use that to build the URL.
 
       Find your IP address:
@@ -504,11 +530,13 @@ Rather than calling LUIS from the IoT device, you can use serverless code with a
       * On macOS, follow the [how to find you IP address on a Mac guide](https://www.hellotech.com/guide/for/how-to-find-ip-address-on-mac)
       * On linux, follow the section on finding your private IP address in the [how to find your IP address in Linux guide](https://opensource.com/article/18/5/how-find-ip-address-linux)
 
-        Once you have your IP address, you will able to access the function at `http://<IP_ADDRESS>:7071/api/text-to-timer`, where `<IP_ADDRESS>` will be your IP address, for example `http://192.168.1.10:7071/api/text-to-timer`.
+      Once you have your IP address, you will able to access the function at `http://<IP_ADDRESS>:7071/api/text-to-timer`, where `<IP_ADDRESS>` will be your IP address, for example `http://192.168.1.10:7071/api/text-to-timer`.
+
+      > 💁 Not that this uses port 7071, so after the IP address you will need to have `:7071`.
 
-        > 💁 This will only work if your IoT device is on the same network as your computer.
+      > 💁 This will only work if your IoT device is on the same network as your computer.
 
-1. Test the endpoint by accessing it using your browser.
+1. Test the endpoint by accessing it using curl.
 
 ---
 
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/get-voices/__init__.py b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/get-voices/__init__.py
new file mode 100644
index 00000000..44c81900
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/get-voices/__init__.py
@@ -0,0 +1,26 @@
+import json
+import os
+import requests
+
+import azure.functions as func
+
+def main(req: func.HttpRequest) -> func.HttpResponse:
+    location = os.environ['SPEECH_LOCATION']
+    speech_key = os.environ['SPEECH_KEY']
+
+    req_body = req.get_json()
+    language = req_body['language']
+
+    url = f'https://{location}.tts.speech.microsoft.com/cognitiveservices/voices/list'
+
+    headers = {
+        'Ocp-Apim-Subscription-Key': speech_key
+    }
+
+    response = requests.get(url, headers=headers)
+    voices_json = json.loads(response.text)
+
+    voices = filter(lambda x: x['Locale'].lower() == language.lower(), voices_json)
+    voices = map(lambda x: x['ShortName'], voices)
+
+    return func.HttpResponse(json.dumps(list(voices)), status_code=200)
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/get-voices/function.json b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/get-voices/function.json
new file mode 100644
index 00000000..d9019652
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/get-voices/function.json
@@ -0,0 +1,20 @@
+{
+  "scriptFile": "__init__.py",
+  "bindings": [
+    {
+      "authLevel": "function",
+      "type": "httpTrigger",
+      "direction": "in",
+      "name": "req",
+      "methods": [
+        "get",
+        "post"
+      ]
+    },
+    {
+      "type": "http",
+      "direction": "out",
+      "name": "$return"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/host.json b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/host.json
new file mode 100644
index 00000000..291065f8
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/host.json
@@ -0,0 +1,15 @@
+{
+  "version": "2.0",
+  "logging": {
+    "applicationInsights": {
+      "samplingSettings": {
+        "isEnabled": true,
+        "excludedTypes": "Request"
+      }
+    }
+  },
+  "extensionBundle": {
+    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "version": "[2.*, 3.0.0)"
+  }
+}
\ No newline at end of file
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/local.settings.json b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/local.settings.json
new file mode 100644
index 00000000..afc05864
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/local.settings.json
@@ -0,0 +1,12 @@
+{
+  "IsEncrypted": false,
+  "Values": {
+    "FUNCTIONS_WORKER_RUNTIME": "python",
+    "AzureWebJobsStorage": "",
+    "LUIS_KEY": "<primary key>",
+    "LUIS_ENDPOINT_URL": "<endpoint url>",
+    "LUIS_APP_ID": "<app id>",
+    "SPEECH_KEY": "<key>",
+    "SPEECH_LOCATION": "<location>"
+  }
+}
\ No newline at end of file
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/requirements.txt b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/requirements.txt
new file mode 100644
index 00000000..a2596be3
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/requirements.txt
@@ -0,0 +1,5 @@
+# Do not include azure-functions-worker as it may conflict with the Azure Functions platform
+
+azure-functions
+azure-cognitiveservices-language-luis
+librosa
\ No newline at end of file
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/text-to-speech/__init__.py b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/text-to-speech/__init__.py
new file mode 100644
index 00000000..f09404f3
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/text-to-speech/__init__.py
@@ -0,0 +1,52 @@
+import io
+import os
+import requests
+
+import librosa
+import soundfile as sf
+import azure.functions as func
+
+location = os.environ['SPEECH_LOCATION']
+speech_key = os.environ['SPEECH_KEY']
+
+def get_access_token():
+    headers = {
+        'Ocp-Apim-Subscription-Key': speech_key
+    }
+
+    token_endpoint = f'https://{location}.api.cognitive.microsoft.com/sts/v1.0/issuetoken'
+    response = requests.post(token_endpoint, headers=headers)
+    return str(response.text)
+
+playback_format = 'riff-48khz-16bit-mono-pcm'
+
+def main(req: func.HttpRequest) -> func.HttpResponse:
+    req_body = req.get_json()
+    language = req_body['language']
+    voice = req_body['voice']
+    text = req_body['text']
+    
+    url = f'https://{location}.tts.speech.microsoft.com/cognitiveservices/v1'
+
+    headers = {
+        'Authorization': 'Bearer ' + get_access_token(),
+        'Content-Type': 'application/ssml+xml',
+        'X-Microsoft-OutputFormat': playback_format
+    }
+
+    ssml =  f'<speak version=\'1.0\' xml:lang=\'{language}\'>'
+    ssml += f'<voice xml:lang=\'{language}\' name=\'{voice}\'>'
+    ssml += text
+    ssml += '</voice>'
+    ssml += '</speak>'
+
+    response = requests.post(url, headers=headers, data=ssml.encode('utf-8'))
+
+    raw_audio, sample_rate = librosa.load(io.BytesIO(response.content), sr=48000)
+    resampled = librosa.resample(raw_audio, sample_rate, 44100)
+    
+    output_buffer = io.BytesIO()
+    sf.write(output_buffer, resampled, 44100, 'PCM_16', format='wav')
+    output_buffer.seek(0)
+
+    return func.HttpResponse(output_buffer.read(), status_code=200)
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/text-to-speech/function.json b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/text-to-speech/function.json
new file mode 100644
index 00000000..d9019652
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/text-to-speech/function.json
@@ -0,0 +1,20 @@
+{
+  "scriptFile": "__init__.py",
+  "bindings": [
+    {
+      "authLevel": "function",
+      "type": "httpTrigger",
+      "direction": "in",
+      "name": "req",
+      "methods": [
+        "get",
+        "post"
+      ]
+    },
+    {
+      "type": "http",
+      "direction": "out",
+      "name": "$return"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/text-to-timer/__init__.py b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/text-to-timer/__init__.py
new file mode 100644
index 00000000..d15d6e68
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/text-to-timer/__init__.py
@@ -0,0 +1,46 @@
+import logging
+
+import azure.functions as func
+import json
+import os
+from azure.cognitiveservices.language.luis.runtime import LUISRuntimeClient
+from msrest.authentication import CognitiveServicesCredentials
+
+
+def main(req: func.HttpRequest) -> func.HttpResponse:
+    luis_key = os.environ['LUIS_KEY']
+    endpoint_url = os.environ['LUIS_ENDPOINT_URL']
+    app_id = os.environ['LUIS_APP_ID']
+    
+    credentials = CognitiveServicesCredentials(luis_key)
+    client = LUISRuntimeClient(endpoint=endpoint_url, credentials=credentials)
+
+    req_body = req.get_json()
+    text = req_body['text']
+    logging.info(f'Request - {text}')
+    prediction_request = { 'query' : text }
+
+    prediction_response = client.prediction.get_slot_prediction(app_id, 'Staging', prediction_request)
+
+    if prediction_response.prediction.top_intent == 'set timer':
+        numbers = prediction_response.prediction.entities['number']
+        time_units = prediction_response.prediction.entities['time unit']
+        total_seconds = 0
+
+        for i in range(0, len(numbers)):
+            number = numbers[i]
+            time_unit = time_units[i][0]
+            
+            if time_unit == 'minute':
+                total_seconds += number * 60
+            else:
+                total_seconds += number
+
+        logging.info(f'Timer required for {total_seconds} seconds')
+    
+        payload = {
+            'seconds': total_seconds
+        }
+        return func.HttpResponse(json.dumps(payload), status_code=200)
+    
+    return func.HttpResponse(status_code=404)
\ No newline at end of file
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/text-to-timer/function.json b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/text-to-timer/function.json
new file mode 100644
index 00000000..d9019652
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/functions/smart-timer-trigger/text-to-timer/function.json
@@ -0,0 +1,20 @@
+{
+  "scriptFile": "__init__.py",
+  "bindings": [
+    {
+      "authLevel": "function",
+      "type": "httpTrigger",
+      "direction": "in",
+      "name": "req",
+      "methods": [
+        "get",
+        "post"
+      ]
+    },
+    {
+      "type": "http",
+      "direction": "out",
+      "name": "$return"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/include/README b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/include/README
new file mode 100644
index 00000000..194dcd43
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/include/README
@@ -0,0 +1,39 @@
+
+This directory is intended for project header files.
+
+A header file is a file containing C declarations and macro definitions
+to be shared between several project source files. You request the use of a
+header file in your project source file (C, C++, etc) located in `src` folder
+by including it, with the C preprocessing directive `#include'.
+
+```src/main.c
+
+#include "header.h"
+
+int main (void)
+{
+ ...
+}
+```
+
+Including a header file produces the same results as copying the header file
+into each source file that needs it. Such copying would be time-consuming
+and error-prone. With a header file, the related declarations appear
+in only one place. If they need to be changed, they can be changed in one
+place, and programs that include the header file will automatically use the
+new version when next recompiled. The header file eliminates the labor of
+finding and changing all the copies as well as the risk that a failure to
+find one copy will result in inconsistencies within a program.
+
+In C, the usual convention is to give header files names that end with `.h'.
+It is most portable to use only letters, digits, dashes, and underscores in
+header file names, and at most one dot.
+
+Read more about using header files in official GCC documentation:
+
+* Include Syntax
+* Include Operation
+* Once-Only Headers
+* Computed Includes
+
+https://gcc.gnu.org/onlinedocs/cpp/Header-Files.html
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/lib/README b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/lib/README
new file mode 100644
index 00000000..6debab1e
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/lib/README
@@ -0,0 +1,46 @@
+
+This directory is intended for project specific (private) libraries.
+PlatformIO will compile them to static libraries and link into executable file.
+
+The source code of each library should be placed in a an own separate directory
+("lib/your_library_name/[here are source files]").
+
+For example, see a structure of the following two libraries `Foo` and `Bar`:
+
+|--lib
+|  |
+|  |--Bar
+|  |  |--docs
+|  |  |--examples
+|  |  |--src
+|  |     |- Bar.c
+|  |     |- Bar.h
+|  |  |- library.json (optional, custom build options, etc) https://docs.platformio.org/page/librarymanager/config.html
+|  |
+|  |--Foo
+|  |  |- Foo.c
+|  |  |- Foo.h
+|  |
+|  |- README --> THIS FILE
+|
+|- platformio.ini
+|--src
+   |- main.c
+
+and a contents of `src/main.c`:
+```
+#include <Foo.h>
+#include <Bar.h>
+
+int main (void)
+{
+  ...
+}
+
+```
+
+PlatformIO Library Dependency Finder will find automatically dependent
+libraries scanning project source files.
+
+More information about PlatformIO Library Dependency Finder
+- https://docs.platformio.org/page/librarymanager/ldf.html
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/platformio.ini b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/platformio.ini
new file mode 100644
index 00000000..8836ab42
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/platformio.ini
@@ -0,0 +1,23 @@
+; PlatformIO Project Configuration File
+;
+;   Build options: build flags, source filter
+;   Upload options: custom upload port, speed and extra flags
+;   Library options: dependencies, extra library storages
+;   Advanced options: extra scripting
+;
+; Please visit documentation for the other options and examples
+; https://docs.platformio.org/page/projectconf.html
+
+[env:seeed_wio_terminal]
+platform = atmelsam
+board = seeed_wio_terminal
+framework = arduino
+lib_deps =
+    seeed-studio/Seeed Arduino FS @ 2.1.1
+    seeed-studio/Seeed Arduino SFUD @ 2.0.2
+    seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
+    seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
+    seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
+    seeed-studio/Seeed Arduino RTC @ 2.0.0
+    bblanchon/ArduinoJson @ 6.17.3
+    contrem/arduino-timer @ 2.3.0
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/config.h b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/config.h
new file mode 100644
index 00000000..f2e912c4
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/config.h
@@ -0,0 +1,93 @@
+#pragma once
+
+#define RATE 16000
+#define SAMPLE_LENGTH_SECONDS 4
+#define SAMPLES RATE * SAMPLE_LENGTH_SECONDS
+#define BUFFER_SIZE (SAMPLES * 2) + 44
+#define ADC_BUF_LEN 1600
+
+const char *SSID = "<SSID>";
+const char *PASSWORD = "<PASSWORD>";
+
+const char *SPEECH_API_KEY = "<API_KEY>";
+const char *SPEECH_LOCATION = "<LOCATION>";
+const char *LANGUAGE = "<LANGUAGE>";
+
+const char *TOKEN_URL = "https://%s.api.cognitive.microsoft.com/sts/v1.0/issuetoken";
+const char *SPEECH_URL = "https://%s.stt.speech.microsoft.com/speech/recognition/conversation/cognitiveservices/v1?language=%s";
+
+const char *TEXT_TO_TIMER_FUNCTION_URL = "http://<IP_ADDRESS>:7071/api/text-to-timer";
+const char *GET_VOICES_FUNCTION_URL = "http://<IP_ADDRESS>:7071/api/get-voices";
+const char *TEXT_TO_SPEECH_FUNCTION_URL = "http://<IP_ADDRESS>:7071/api/text-to-speech";
+
+const char *TOKEN_CERTIFICATE =
+    "-----BEGIN CERTIFICATE-----\r\n"
+    "MIIF8zCCBNugAwIBAgIQAueRcfuAIek/4tmDg0xQwDANBgkqhkiG9w0BAQwFADBh\r\n"
+    "MQswCQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3\r\n"
+    "d3cuZGlnaWNlcnQuY29tMSAwHgYDVQQDExdEaWdpQ2VydCBHbG9iYWwgUm9vdCBH\r\n"
+    "MjAeFw0yMDA3MjkxMjMwMDBaFw0yNDA2MjcyMzU5NTlaMFkxCzAJBgNVBAYTAlVT\r\n"
+    "MR4wHAYDVQQKExVNaWNyb3NvZnQgQ29ycG9yYXRpb24xKjAoBgNVBAMTIU1pY3Jv\r\n"
+    "c29mdCBBenVyZSBUTFMgSXNzdWluZyBDQSAwNjCCAiIwDQYJKoZIhvcNAQEBBQAD\r\n"
+    "ggIPADCCAgoCggIBALVGARl56bx3KBUSGuPc4H5uoNFkFH4e7pvTCxRi4j/+z+Xb\r\n"
+    "wjEz+5CipDOqjx9/jWjskL5dk7PaQkzItidsAAnDCW1leZBOIi68Lff1bjTeZgMY\r\n"
+    "iwdRd3Y39b/lcGpiuP2d23W95YHkMMT8IlWosYIX0f4kYb62rphyfnAjYb/4Od99\r\n"
+    "ThnhlAxGtfvSbXcBVIKCYfZgqRvV+5lReUnd1aNjRYVzPOoifgSx2fRyy1+pO1Uz\r\n"
+    "aMMNnIOE71bVYW0A1hr19w7kOb0KkJXoALTDDj1ukUEDqQuBfBxReL5mXiu1O7WG\r\n"
+    "0vltg0VZ/SZzctBsdBlx1BkmWYBW261KZgBivrql5ELTKKd8qgtHcLQA5fl6JB0Q\r\n"
+    "gs5XDaWehN86Gps5JW8ArjGtjcWAIP+X8CQaWfaCnuRm6Bk/03PQWhgdi84qwA0s\r\n"
+    "sRfFJwHUPTNSnE8EiGVk2frt0u8PG1pwSQsFuNJfcYIHEv1vOzP7uEOuDydsmCjh\r\n"
+    "lxuoK2n5/2aVR3BMTu+p4+gl8alXoBycyLmj3J/PUgqD8SL5fTCUegGsdia/Sa60\r\n"
+    "N2oV7vQ17wjMN+LXa2rjj/b4ZlZgXVojDmAjDwIRdDUujQu0RVsJqFLMzSIHpp2C\r\n"
+    "Zp7mIoLrySay2YYBu7SiNwL95X6He2kS8eefBBHjzwW/9FxGqry57i71c2cDAgMB\r\n"
+    "AAGjggGtMIIBqTAdBgNVHQ4EFgQU1cFnOsKjnfR3UltZEjgp5lVou6UwHwYDVR0j\r\n"
+    "BBgwFoAUTiJUIBiV5uNu5g/6+rkS7QYXjzkwDgYDVR0PAQH/BAQDAgGGMB0GA1Ud\r\n"
+    "JQQWMBQGCCsGAQUFBwMBBggrBgEFBQcDAjASBgNVHRMBAf8ECDAGAQH/AgEAMHYG\r\n"
+    "CCsGAQUFBwEBBGowaDAkBggrBgEFBQcwAYYYaHR0cDovL29jc3AuZGlnaWNlcnQu\r\n"
+    "Y29tMEAGCCsGAQUFBzAChjRodHRwOi8vY2FjZXJ0cy5kaWdpY2VydC5jb20vRGln\r\n"
+    "aUNlcnRHbG9iYWxSb290RzIuY3J0MHsGA1UdHwR0MHIwN6A1oDOGMWh0dHA6Ly9j\r\n"
+    "cmwzLmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5jcmwwN6A1oDOG\r\n"
+    "MWh0dHA6Ly9jcmw0LmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5j\r\n"
+    "cmwwHQYDVR0gBBYwFDAIBgZngQwBAgEwCAYGZ4EMAQICMBAGCSsGAQQBgjcVAQQD\r\n"
+    "AgEAMA0GCSqGSIb3DQEBDAUAA4IBAQB2oWc93fB8esci/8esixj++N22meiGDjgF\r\n"
+    "+rA2LUK5IOQOgcUSTGKSqF9lYfAxPjrqPjDCUPHCURv+26ad5P/BYtXtbmtxJWu+\r\n"
+    "cS5BhMDPPeG3oPZwXRHBJFAkY4O4AF7RIAAUW6EzDflUoDHKv83zOiPfYGcpHc9s\r\n"
+    "kxAInCedk7QSgXvMARjjOqdakor21DTmNIUotxo8kHv5hwRlGhBJwps6fEVi1Bt0\r\n"
+    "trpM/3wYxlr473WSPUFZPgP1j519kLpWOJ8z09wxay+Br29irPcBYv0GMXlHqThy\r\n"
+    "8y4m/HyTQeI2IMvMrQnwqPpY+rLIXyviI2vLoI+4xKE4Rn38ZZ8m\r\n"
+    "-----END CERTIFICATE-----\r\n";
+
+const char *SPEECH_CERTIFICATE =
+    "-----BEGIN CERTIFICATE-----\r\n"
+    "MIIF8zCCBNugAwIBAgIQCq+mxcpjxFFB6jvh98dTFzANBgkqhkiG9w0BAQwFADBh\r\n"
+    "MQswCQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3\r\n"
+    "d3cuZGlnaWNlcnQuY29tMSAwHgYDVQQDExdEaWdpQ2VydCBHbG9iYWwgUm9vdCBH\r\n"
+    "MjAeFw0yMDA3MjkxMjMwMDBaFw0yNDA2MjcyMzU5NTlaMFkxCzAJBgNVBAYTAlVT\r\n"
+    "MR4wHAYDVQQKExVNaWNyb3NvZnQgQ29ycG9yYXRpb24xKjAoBgNVBAMTIU1pY3Jv\r\n"
+    "c29mdCBBenVyZSBUTFMgSXNzdWluZyBDQSAwMTCCAiIwDQYJKoZIhvcNAQEBBQAD\r\n"
+    "ggIPADCCAgoCggIBAMedcDrkXufP7pxVm1FHLDNA9IjwHaMoaY8arqqZ4Gff4xyr\r\n"
+    "RygnavXL7g12MPAx8Q6Dd9hfBzrfWxkF0Br2wIvlvkzW01naNVSkHp+OS3hL3W6n\r\n"
+    "l/jYvZnVeJXjtsKYcXIf/6WtspcF5awlQ9LZJcjwaH7KoZuK+THpXCMtzD8XNVdm\r\n"
+    "GW/JI0C/7U/E7evXn9XDio8SYkGSM63aLO5BtLCv092+1d4GGBSQYolRq+7Pd1kR\r\n"
+    "EkWBPm0ywZ2Vb8GIS5DLrjelEkBnKCyy3B0yQud9dpVsiUeE7F5sY8Me96WVxQcb\r\n"
+    "OyYdEY/j/9UpDlOG+vA+YgOvBhkKEjiqygVpP8EZoMMijephzg43b5Qi9r5UrvYo\r\n"
+    "o19oR/8pf4HJNDPF0/FJwFVMW8PmCBLGstin3NE1+NeWTkGt0TzpHjgKyfaDP2tO\r\n"
+    "4bCk1G7pP2kDFT7SYfc8xbgCkFQ2UCEXsaH/f5YmpLn4YPiNFCeeIida7xnfTvc4\r\n"
+    "7IxyVccHHq1FzGygOqemrxEETKh8hvDR6eBdrBwmCHVgZrnAqnn93JtGyPLi6+cj\r\n"
+    "WGVGtMZHwzVvX1HvSFG771sskcEjJxiQNQDQRWHEh3NxvNb7kFlAXnVdRkkvhjpR\r\n"
+    "GchFhTAzqmwltdWhWDEyCMKC2x/mSZvZtlZGY+g37Y72qHzidwtyW7rBetZJAgMB\r\n"
+    "AAGjggGtMIIBqTAdBgNVHQ4EFgQUDyBd16FXlduSzyvQx8J3BM5ygHYwHwYDVR0j\r\n"
+    "BBgwFoAUTiJUIBiV5uNu5g/6+rkS7QYXjzkwDgYDVR0PAQH/BAQDAgGGMB0GA1Ud\r\n"
+    "JQQWMBQGCCsGAQUFBwMBBggrBgEFBQcDAjASBgNVHRMBAf8ECDAGAQH/AgEAMHYG\r\n"
+    "CCsGAQUFBwEBBGowaDAkBggrBgEFBQcwAYYYaHR0cDovL29jc3AuZGlnaWNlcnQu\r\n"
+    "Y29tMEAGCCsGAQUFBzAChjRodHRwOi8vY2FjZXJ0cy5kaWdpY2VydC5jb20vRGln\r\n"
+    "aUNlcnRHbG9iYWxSb290RzIuY3J0MHsGA1UdHwR0MHIwN6A1oDOGMWh0dHA6Ly9j\r\n"
+    "cmwzLmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5jcmwwN6A1oDOG\r\n"
+    "MWh0dHA6Ly9jcmw0LmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5j\r\n"
+    "cmwwHQYDVR0gBBYwFDAIBgZngQwBAgEwCAYGZ4EMAQICMBAGCSsGAQQBgjcVAQQD\r\n"
+    "AgEAMA0GCSqGSIb3DQEBDAUAA4IBAQAlFvNh7QgXVLAZSsNR2XRmIn9iS8OHFCBA\r\n"
+    "WxKJoi8YYQafpMTkMqeuzoL3HWb1pYEipsDkhiMnrpfeYZEA7Lz7yqEEtfgHcEBs\r\n"
+    "K9KcStQGGZRfmWU07hPXHnFz+5gTXqzCE2PBMlRgVUYJiA25mJPXfB00gDvGhtYa\r\n"
+    "+mENwM9Bq1B9YYLyLjRtUz8cyGsdyTIG/bBM/Q9jcV8JGqMU/UjAdh1pFyTnnHEl\r\n"
+    "Y59Npi7F87ZqYYJEHJM2LGD+le8VsHjgeWX2CJQko7klXvcizuZvUEDTjHaQcs2J\r\n"
+    "+kPgfyMIOY1DMJ21NxOJ2xPRC/wAh/hzSBRVtoAnyuxtkZ4VjIOh\r\n"
+    "-----END CERTIFICATE-----\r\n";
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/flash_stream.h b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/flash_stream.h
new file mode 100644
index 00000000..b841f1d0
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/flash_stream.h
@@ -0,0 +1,69 @@
+#pragma once
+
+#include <Arduino.h>
+#include <HTTPClient.h>
+#include <sfud.h>
+
+#include "config.h"
+
+class FlashStream : public Stream
+{
+public:
+    FlashStream()
+    {
+        _pos = 0;
+        _flash_address = 0;
+        _flash = sfud_get_device_table() + 0;
+        
+        populateBuffer();
+    }
+
+    virtual size_t write(uint8_t val)
+    {
+        return 0;
+    }
+
+    virtual int available()
+    {
+        int remaining = BUFFER_SIZE - ((_flash_address - HTTP_TCP_BUFFER_SIZE) + _pos);
+        int bytes_available = min(HTTP_TCP_BUFFER_SIZE, remaining);
+
+        if (bytes_available == 0)
+        {
+            bytes_available = -1;
+        }
+
+        return bytes_available;
+    }
+
+    virtual int read()
+    {
+        int retVal = _buffer[_pos++];
+
+        if (_pos == HTTP_TCP_BUFFER_SIZE)
+        {
+            populateBuffer();
+        }
+
+        return retVal;
+    }
+
+    virtual int peek()
+    {
+        return _buffer[_pos];
+    }
+
+private:
+    void populateBuffer()
+    {
+        sfud_read(_flash, _flash_address, HTTP_TCP_BUFFER_SIZE, _buffer);
+        _flash_address += HTTP_TCP_BUFFER_SIZE;
+        _pos = 0;
+    }
+    
+    size_t _pos;
+    size_t _flash_address;
+    const sfud_flash *_flash;
+
+    byte _buffer[HTTP_TCP_BUFFER_SIZE];
+};
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/flash_writer.h b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/flash_writer.h
new file mode 100644
index 00000000..87fdff29
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/flash_writer.h
@@ -0,0 +1,60 @@
+#pragma once
+
+#include <Arduino.h>
+#include <sfud.h>
+
+class FlashWriter
+{
+public:
+    void init()
+    {
+        _flash = sfud_get_device_table() + 0;
+        _sfudBufferSize = _flash->chip.erase_gran;
+        _sfudBuffer = new byte[_sfudBufferSize];
+        _sfudBufferPos = 0;
+        _sfudBufferWritePos = 0;
+    }
+
+    void reset()
+    {
+        _sfudBufferPos = 0;
+        _sfudBufferWritePos = 0;
+    }
+
+    void writeSfudBuffer(byte b)
+    {
+        _sfudBuffer[_sfudBufferPos++] = b;
+        if (_sfudBufferPos == _sfudBufferSize)
+        {
+            sfud_erase_write(_flash, _sfudBufferWritePos, _sfudBufferSize, _sfudBuffer);
+            _sfudBufferWritePos += _sfudBufferSize;
+            _sfudBufferPos = 0;
+        }
+    }
+
+    void flushSfudBuffer()
+    {
+        if (_sfudBufferPos > 0)
+        {
+            sfud_erase_write(_flash, _sfudBufferWritePos, _sfudBufferSize, _sfudBuffer);
+            _sfudBufferWritePos += _sfudBufferSize;
+            _sfudBufferPos = 0;
+        }
+    }
+
+    void writeSfudBuffer(byte *b, size_t len)
+    {
+        for (size_t i = 0; i < len; ++i)
+        {
+            writeSfudBuffer(b[i]);
+        }
+    }
+
+private:
+    byte *_sfudBuffer;
+    size_t _sfudBufferSize;
+    size_t _sfudBufferPos;
+    size_t _sfudBufferWritePos;
+
+    const sfud_flash *_flash;
+};
\ No newline at end of file
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/language_understanding.h b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/language_understanding.h
new file mode 100644
index 00000000..1c8d8653
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/language_understanding.h
@@ -0,0 +1,53 @@
+#pragma once
+
+#include <Arduino.h>
+#include <ArduinoJson.h>
+#include <HTTPClient.h>
+#include <WiFiClient.h>
+
+#include "config.h"
+
+class LanguageUnderstanding
+{
+public:
+    int GetTimerDuration(String text)
+    {
+        DynamicJsonDocument doc(1024);
+        doc["text"] = text;
+
+        String body;
+        serializeJson(doc, body);
+
+        HTTPClient httpClient;
+        httpClient.begin(_client, TEXT_TO_TIMER_FUNCTION_URL);
+
+        int httpResponseCode = httpClient.POST(body);
+
+        int seconds = 0;
+        if (httpResponseCode == 200)
+        {
+            String result = httpClient.getString();
+            Serial.println(result);
+
+            DynamicJsonDocument doc(1024);
+            deserializeJson(doc, result.c_str());
+
+            JsonObject obj = doc.as<JsonObject>();
+            seconds = obj["seconds"].as<int>();
+        }
+        else
+        {
+            Serial.print("Failed to understand text - error ");
+            Serial.println(httpResponseCode);
+        }
+
+        httpClient.end();
+
+        return seconds;
+    }
+
+private:
+    WiFiClient _client;
+};
+
+LanguageUnderstanding languageUnderstanding;
\ No newline at end of file
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/main.cpp b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/main.cpp
new file mode 100644
index 00000000..a075f6cb
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/main.cpp
@@ -0,0 +1,130 @@
+#include <Arduino.h>
+#include <arduino-timer.h>
+#include <rpcWiFi.h>
+#include <sfud.h>
+#include <SPI.h>
+
+#include "config.h"
+#include "language_understanding.h"
+#include "mic.h"
+#include "speech_to_text.h"
+#include "text_to_speech.h"
+
+void connectWiFi()
+{
+    while (WiFi.status() != WL_CONNECTED)
+    {
+        Serial.println("Connecting to WiFi..");
+        WiFi.begin(SSID, PASSWORD);
+        delay(500);
+    }
+
+    Serial.println("Connected!");
+}
+
+void setup()
+{
+    Serial.begin(9600);
+
+    while (!Serial)
+        ; // Wait for Serial to be ready
+
+    delay(1000);
+
+    connectWiFi();
+
+    while (!(sfud_init() == SFUD_SUCCESS))
+        ;
+
+    sfud_qspi_fast_read_enable(sfud_get_device(SFUD_W25Q32_DEVICE_INDEX), 2);
+
+    pinMode(WIO_KEY_C, INPUT_PULLUP);
+
+    mic.init();
+
+    speechToText.init();
+    textToSpeech.init();
+
+    Serial.println("Ready.");
+}
+
+auto timer = timer_create_default();
+
+void say(String text)
+{
+    Serial.println(text);
+    textToSpeech.convertTextToSpeech(text);
+}
+
+bool timerExpired(void *announcement)
+{
+    say((char *)announcement);
+    return false;
+}
+
+void processAudio()
+{
+    String text = speechToText.convertSpeechToText();
+    Serial.println(text);
+
+    int total_seconds = languageUnderstanding.GetTimerDuration(text);
+    if (total_seconds == 0)
+    {
+        return;
+    }
+
+    int minutes = total_seconds / 60;
+    int seconds = total_seconds % 60;
+
+    String begin_message;
+    if (minutes > 0)
+    {
+        begin_message += minutes;
+        begin_message += " minute ";
+    }
+    if (seconds > 0)
+    {
+        begin_message += seconds;
+        begin_message += " second ";
+    }
+
+    begin_message += "timer started.";
+
+    String end_message("Times up on your ");
+    if (minutes > 0)
+    {
+        end_message += minutes;
+        end_message += " minute ";
+    }
+    if (seconds > 0)
+    {
+        end_message += seconds;
+        end_message += " second ";
+    }
+
+    end_message += "timer.";
+
+    say(begin_message);
+
+    timer.in(total_seconds * 1000, timerExpired, (void *)(end_message.c_str()));
+}
+
+void loop()
+{
+    if (digitalRead(WIO_KEY_C) == LOW && !mic.isRecording())
+    {
+        Serial.println("Starting recording...");
+        mic.startRecording();
+    }
+
+    if (!mic.isRecording() && mic.isRecordingReady())
+    {
+        Serial.println("Finished recording");
+
+        processAudio();
+
+        mic.reset();
+    }
+
+    timer.tick();
+}
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/mic.h b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/mic.h
new file mode 100644
index 00000000..5f0815de
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/mic.h
@@ -0,0 +1,242 @@
+#pragma once
+
+#include <Arduino.h>
+
+#include "config.h"
+#include "flash_writer.h"
+
+class Mic
+{
+public:
+    Mic()
+    {
+        _isRecording = false;
+        _isRecordingReady = false;
+    }
+
+    void startRecording()
+    {
+        _isRecording = true;
+        _isRecordingReady = false;
+    }
+
+    bool isRecording()
+    {
+        return _isRecording;
+    }
+
+    bool isRecordingReady()
+    {
+        return _isRecordingReady;
+    }
+
+    void init()
+    {
+        analogReference(AR_INTERNAL2V23);
+        
+        _writer.init();
+
+        initBufferHeader();
+        configureDmaAdc();
+    }
+
+    void reset()
+    {
+        _isRecordingReady = false;
+        _isRecording = false;
+
+        _writer.reset();
+
+        initBufferHeader();
+    }
+
+    void dmaHandler()
+    {
+        static uint8_t count = 0;
+
+        if (DMAC->Channel[1].CHINTFLAG.bit.SUSP)
+        {
+            DMAC->Channel[1].CHCTRLB.reg = DMAC_CHCTRLB_CMD_RESUME;
+            DMAC->Channel[1].CHINTFLAG.bit.SUSP = 1;
+
+            if (count)
+            {
+                audioCallback(_adc_buf_0, ADC_BUF_LEN);
+            }
+            else
+            {
+                audioCallback(_adc_buf_1, ADC_BUF_LEN);
+            }
+
+            count = (count + 1) % 2;
+        }
+    }
+
+private:
+    volatile bool _isRecording;
+    volatile bool _isRecordingReady;
+    FlashWriter _writer;
+
+typedef struct
+    {
+        uint16_t btctrl;
+        uint16_t btcnt;
+        uint32_t srcaddr;
+        uint32_t dstaddr;
+        uint32_t descaddr;
+    } dmacdescriptor;
+
+    // Globals - DMA and ADC
+    volatile dmacdescriptor _wrb[DMAC_CH_NUM] __attribute__((aligned(16)));
+    dmacdescriptor _descriptor_section[DMAC_CH_NUM] __attribute__((aligned(16)));
+    dmacdescriptor _descriptor __attribute__((aligned(16)));
+
+    void configureDmaAdc()
+    {
+        // Configure DMA to sample from ADC at a regular interval (triggered by timer/counter)
+        DMAC->BASEADDR.reg = (uint32_t)_descriptor_section;                    // Specify the location of the descriptors
+        DMAC->WRBADDR.reg = (uint32_t)_wrb;                                    // Specify the location of the write back descriptors
+        DMAC->CTRL.reg = DMAC_CTRL_DMAENABLE | DMAC_CTRL_LVLEN(0xf);           // Enable the DMAC peripheral
+        DMAC->Channel[1].CHCTRLA.reg = DMAC_CHCTRLA_TRIGSRC(TC5_DMAC_ID_OVF) | // Set DMAC to trigger on TC5 timer overflow
+                                       DMAC_CHCTRLA_TRIGACT_BURST;             // DMAC burst transfer
+
+        _descriptor.descaddr = (uint32_t)&_descriptor_section[1];                    // Set up a circular descriptor
+        _descriptor.srcaddr = (uint32_t)&ADC1->RESULT.reg;                           // Take the result from the ADC0 RESULT register
+        _descriptor.dstaddr = (uint32_t)_adc_buf_0 + sizeof(uint16_t) * ADC_BUF_LEN; // Place it in the adc_buf_0 array
+        _descriptor.btcnt = ADC_BUF_LEN;                                             // Beat count
+        _descriptor.btctrl = DMAC_BTCTRL_BEATSIZE_HWORD |                            // Beat size is HWORD (16-bits)
+                             DMAC_BTCTRL_DSTINC |                                    // Increment the destination address
+                             DMAC_BTCTRL_VALID |                                     // Descriptor is valid
+                             DMAC_BTCTRL_BLOCKACT_SUSPEND;                           // Suspend DMAC channel 0 after block transfer
+        memcpy(&_descriptor_section[0], &_descriptor, sizeof(_descriptor));          // Copy the descriptor to the descriptor section
+
+        _descriptor.descaddr = (uint32_t)&_descriptor_section[0];                    // Set up a circular descriptor
+        _descriptor.srcaddr = (uint32_t)&ADC1->RESULT.reg;                           // Take the result from the ADC0 RESULT register
+        _descriptor.dstaddr = (uint32_t)_adc_buf_1 + sizeof(uint16_t) * ADC_BUF_LEN; // Place it in the adc_buf_1 array
+        _descriptor.btcnt = ADC_BUF_LEN;                                             // Beat count
+        _descriptor.btctrl = DMAC_BTCTRL_BEATSIZE_HWORD |                            // Beat size is HWORD (16-bits)
+                             DMAC_BTCTRL_DSTINC |                                    // Increment the destination address
+                             DMAC_BTCTRL_VALID |                                     // Descriptor is valid
+                             DMAC_BTCTRL_BLOCKACT_SUSPEND;                           // Suspend DMAC channel 0 after block transfer
+        memcpy(&_descriptor_section[1], &_descriptor, sizeof(_descriptor));          // Copy the descriptor to the descriptor section
+
+        // Configure NVIC
+        NVIC_SetPriority(DMAC_1_IRQn, 0); // Set the Nested Vector Interrupt Controller (NVIC) priority for DMAC1 to 0 (highest)
+        NVIC_EnableIRQ(DMAC_1_IRQn);      // Connect DMAC1 to Nested Vector Interrupt Controller (NVIC)
+
+        // Activate the suspend (SUSP) interrupt on DMAC channel 1
+        DMAC->Channel[1].CHINTENSET.reg = DMAC_CHINTENSET_SUSP;
+
+        // Configure ADC
+        ADC1->INPUTCTRL.bit.MUXPOS = ADC_INPUTCTRL_MUXPOS_AIN12_Val; // Set the analog input to ADC0/AIN2 (PB08 - A4 on Metro M4)
+        while (ADC1->SYNCBUSY.bit.INPUTCTRL)
+            ;                              // Wait for synchronization
+        ADC1->SAMPCTRL.bit.SAMPLEN = 0x00; // Set max Sampling Time Length to half divided ADC clock pulse (2.66us)
+        while (ADC1->SYNCBUSY.bit.SAMPCTRL)
+            ;                                         // Wait for synchronization
+        ADC1->CTRLA.reg = ADC_CTRLA_PRESCALER_DIV128; // Divide Clock ADC GCLK by 128 (48MHz/128 = 375kHz)
+        ADC1->CTRLB.reg = ADC_CTRLB_RESSEL_12BIT |    // Set ADC resolution to 12 bits
+                          ADC_CTRLB_FREERUN;          // Set ADC to free run mode
+        while (ADC1->SYNCBUSY.bit.CTRLB)
+            ;                       // Wait for synchronization
+        ADC1->CTRLA.bit.ENABLE = 1; // Enable the ADC
+        while (ADC1->SYNCBUSY.bit.ENABLE)
+            ;                       // Wait for synchronization
+        ADC1->SWTRIG.bit.START = 1; // Initiate a software trigger to start an ADC conversion
+        while (ADC1->SYNCBUSY.bit.SWTRIG)
+            ; // Wait for synchronization
+
+        // Enable DMA channel 1
+        DMAC->Channel[1].CHCTRLA.bit.ENABLE = 1;
+
+        // Configure Timer/Counter 5
+        GCLK->PCHCTRL[TC5_GCLK_ID].reg = GCLK_PCHCTRL_CHEN |     // Enable perhipheral channel for TC5
+                                         GCLK_PCHCTRL_GEN_GCLK1; // Connect generic clock 0 at 48MHz
+
+        TC5->COUNT16.WAVE.reg = TC_WAVE_WAVEGEN_MFRQ; // Set TC5 to Match Frequency (MFRQ) mode
+        TC5->COUNT16.CC[0].reg = 3000 - 1;            // Set the trigger to 16 kHz: (4Mhz / 16000) - 1
+        while (TC5->COUNT16.SYNCBUSY.bit.CC0)
+            ; // Wait for synchronization
+
+        // Start Timer/Counter 5
+        TC5->COUNT16.CTRLA.bit.ENABLE = 1; // Enable the TC5 timer
+        while (TC5->COUNT16.SYNCBUSY.bit.ENABLE)
+            ; // Wait for synchronization
+    }
+
+    uint16_t _adc_buf_0[ADC_BUF_LEN];
+    uint16_t _adc_buf_1[ADC_BUF_LEN];
+
+    // WAV files have a header. This struct defines that header
+    struct wavFileHeader
+    {
+        char riff[4];         /* "RIFF"                                  */
+        long flength;         /* file length in bytes                    */
+        char wave[4];         /* "WAVE"                                  */
+        char fmt[4];          /* "fmt "                                  */
+        long chunk_size;      /* size of FMT chunk in bytes (usually 16) */
+        short format_tag;     /* 1=PCM, 257=Mu-Law, 258=A-Law, 259=ADPCM */
+        short num_chans;      /* 1=mono, 2=stereo                        */
+        long srate;           /* Sampling rate in samples per second     */
+        long bytes_per_sec;   /* bytes per second = srate*bytes_per_samp */
+        short bytes_per_samp; /* 2=16-bit mono, 4=16-bit stereo          */
+        short bits_per_samp;  /* Number of bits per sample               */
+        char data[4];         /* "data"                                  */
+        long dlength;         /* data length in bytes (filelength - 44)  */
+    };
+
+    void initBufferHeader()
+    {
+        wavFileHeader wavh;
+
+        strncpy(wavh.riff, "RIFF", 4);
+        strncpy(wavh.wave, "WAVE", 4);
+        strncpy(wavh.fmt, "fmt ", 4);
+        strncpy(wavh.data, "data", 4);
+
+        wavh.chunk_size = 16;
+        wavh.format_tag = 1; // PCM
+        wavh.num_chans = 1;  // mono
+        wavh.srate = RATE;
+        wavh.bytes_per_sec = (RATE * 1 * 16 * 1) / 8;
+        wavh.bytes_per_samp = 2;
+        wavh.bits_per_samp = 16;
+        wavh.dlength = RATE * 2 * 1 * 16 / 2;
+        wavh.flength = wavh.dlength + 44;
+
+        _writer.writeSfudBuffer((byte *)&wavh, 44);
+    }
+
+    void audioCallback(uint16_t *buf, uint32_t buf_len)
+    {
+        static uint32_t idx = 44;
+
+        if (_isRecording)
+        {
+            for (uint32_t i = 0; i < buf_len; i++)
+            {
+                int16_t audio_value = ((int16_t)buf[i] - 2048) * 16;
+
+                _writer.writeSfudBuffer(audio_value & 0xFF);
+                _writer.writeSfudBuffer((audio_value >> 8) & 0xFF);
+            }
+
+            idx += buf_len;
+                
+            if (idx >= BUFFER_SIZE)
+            {
+                _writer.flushSfudBuffer();
+                idx = 44;
+                _isRecording = false;
+                _isRecordingReady = true;
+            }
+        }
+    }
+};
+
+Mic mic;
+
+void DMAC_1_Handler()
+{
+    mic.dmaHandler();
+}
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/speech_to_text.h b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/speech_to_text.h
new file mode 100644
index 00000000..a7ce075f
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/speech_to_text.h
@@ -0,0 +1,102 @@
+#pragma once
+
+#include <Arduino.h>
+#include <ArduinoJson.h>
+#include <HTTPClient.h>
+#include <WiFiClientSecure.h>
+
+#include "config.h"
+#include "flash_stream.h"
+
+class SpeechToText
+{
+public:
+    void init()
+    {
+        _token_client.setCACert(TOKEN_CERTIFICATE);
+        _speech_client.setCACert(SPEECH_CERTIFICATE);
+        _access_token = getAccessToken();
+    }
+
+    String convertSpeechToText()
+    {
+        char url[128];
+        sprintf(url, SPEECH_URL, SPEECH_LOCATION, LANGUAGE);
+
+        HTTPClient httpClient;
+        httpClient.begin(_speech_client, url);
+
+        httpClient.addHeader("Authorization", String("Bearer ") + _access_token);
+        httpClient.addHeader("Content-Type", String("audio/wav; codecs=audio/pcm; samplerate=") + String(RATE));
+        httpClient.addHeader("Accept", "application/json;text/xml");
+
+        Serial.println("Sending speech...");
+
+        FlashStream stream;
+        int httpResponseCode = httpClient.sendRequest("POST", &stream, BUFFER_SIZE);
+
+        Serial.println("Speech sent!");
+
+        String text = "";
+
+        if (httpResponseCode == 200)
+        {
+            String result = httpClient.getString();
+            Serial.println(result);
+
+            DynamicJsonDocument doc(1024);
+            deserializeJson(doc, result.c_str());
+
+            JsonObject obj = doc.as<JsonObject>();
+            text = obj["DisplayText"].as<String>();
+        }
+        else if (httpResponseCode == 401)
+        {
+            Serial.println("Access token expired, trying again with a new token");
+            _access_token = getAccessToken();
+            return convertSpeechToText();
+        }
+        else
+        {
+            Serial.print("Failed to convert text to speech - error ");
+            Serial.println(httpResponseCode);
+        }
+
+        httpClient.end();
+
+        return text;
+    }
+
+private:
+    String getAccessToken()
+    {
+        char url[128];
+        sprintf(url, TOKEN_URL, SPEECH_LOCATION);
+
+        HTTPClient httpClient;
+        httpClient.begin(_token_client, url);
+
+        httpClient.addHeader("Ocp-Apim-Subscription-Key", SPEECH_API_KEY);
+        int httpResultCode = httpClient.POST("{}");
+
+        if (httpResultCode != 200)
+        {
+            Serial.println("Error getting access token, trying again...");
+            delay(10000);
+            return getAccessToken();
+        }
+
+        Serial.println("Got access token.");
+        String result = httpClient.getString();
+
+        httpClient.end();
+
+        return result;
+    }
+
+    WiFiClientSecure _token_client;
+    WiFiClientSecure _speech_client;
+    String _access_token;
+};
+
+SpeechToText speechToText;
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/text_to_speech.h b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/text_to_speech.h
new file mode 100644
index 00000000..d7174fcd
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/src/text_to_speech.h
@@ -0,0 +1,86 @@
+#pragma once
+
+#include <Arduino.h>
+#include <ArduinoJson.h>
+#include <HTTPClient.h>
+#include <Seeed_FS.h>
+#include <SD/Seeed_SD.h>
+#include <WiFiClient.h>
+#include <WiFiClientSecure.h>
+
+#include "config.h"
+
+class TextToSpeech
+{
+public:
+    void init()
+    {
+        DynamicJsonDocument doc(1024);
+        doc["language"] = LANGUAGE;
+
+        String body;
+        serializeJson(doc, body);
+
+        HTTPClient httpClient;
+        httpClient.begin(_client, GET_VOICES_FUNCTION_URL);
+
+        int httpResponseCode = httpClient.POST(body);
+
+        if (httpResponseCode == 200)
+        {
+            String result = httpClient.getString();
+            Serial.println(result);
+
+            DynamicJsonDocument doc(1024);
+            deserializeJson(doc, result.c_str());
+
+            JsonArray obj = doc.as<JsonArray>();
+            _voice = obj[0].as<String>();
+
+            Serial.print("Using voice ");
+            Serial.println(_voice);
+        }
+        else
+        {
+            Serial.print("Failed to get voices - error ");
+            Serial.println(httpResponseCode);
+        }
+
+        httpClient.end();
+    }
+
+    void convertTextToSpeech(String text)
+    {
+        DynamicJsonDocument doc(1024);
+        doc["language"] = LANGUAGE;
+        doc["voice"] = _voice;
+        doc["text"] = text;
+
+        String body;
+        serializeJson(doc, body);
+
+        HTTPClient httpClient;
+        httpClient.begin(_client, TEXT_TO_SPEECH_FUNCTION_URL);
+
+        int httpResponseCode = httpClient.POST(body);
+
+        if (httpResponseCode == 200)
+        {            
+            File wav_file = SD.open("SPEECH.WAV", FILE_WRITE);
+            httpClient.writeToStream(&wav_file);
+            wav_file.close();
+        }
+        else
+        {
+            Serial.print("Failed to get speech - error ");
+            Serial.println(httpResponseCode);
+        }
+
+        httpClient.end();
+    }
+private:
+    WiFiClient _client;
+    String _voice;
+};
+
+TextToSpeech textToSpeech;
\ No newline at end of file
diff --git a/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/test/README b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/test/README
new file mode 100644
index 00000000..b94d0890
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-spoken-response/wio-terminal/smart-timer/test/README
@@ -0,0 +1,11 @@
+
+This directory is intended for PlatformIO Unit Testing and project tests.
+
+Unit Testing is a software testing method by which individual units of
+source code, sets of one or more MCU program modules together with associated
+control data, usage procedures, and operating procedures, are tested to
+determine whether they are fit for use. Unit testing finds problems early
+in the development cycle.
+
+More information about PlatformIO Unit Testing:
+- https://docs.platformio.org/page/plus/unit-testing.html
diff --git a/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/include/README b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/include/README
new file mode 100644
index 00000000..194dcd43
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/include/README
@@ -0,0 +1,39 @@
+
+This directory is intended for project header files.
+
+A header file is a file containing C declarations and macro definitions
+to be shared between several project source files. You request the use of a
+header file in your project source file (C, C++, etc) located in `src` folder
+by including it, with the C preprocessing directive `#include'.
+
+```src/main.c
+
+#include "header.h"
+
+int main (void)
+{
+ ...
+}
+```
+
+Including a header file produces the same results as copying the header file
+into each source file that needs it. Such copying would be time-consuming
+and error-prone. With a header file, the related declarations appear
+in only one place. If they need to be changed, they can be changed in one
+place, and programs that include the header file will automatically use the
+new version when next recompiled. The header file eliminates the labor of
+finding and changing all the copies as well as the risk that a failure to
+find one copy will result in inconsistencies within a program.
+
+In C, the usual convention is to give header files names that end with `.h'.
+It is most portable to use only letters, digits, dashes, and underscores in
+header file names, and at most one dot.
+
+Read more about using header files in official GCC documentation:
+
+* Include Syntax
+* Include Operation
+* Once-Only Headers
+* Computed Includes
+
+https://gcc.gnu.org/onlinedocs/cpp/Header-Files.html
diff --git a/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/lib/README b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/lib/README
new file mode 100644
index 00000000..6debab1e
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/lib/README
@@ -0,0 +1,46 @@
+
+This directory is intended for project specific (private) libraries.
+PlatformIO will compile them to static libraries and link into executable file.
+
+The source code of each library should be placed in a an own separate directory
+("lib/your_library_name/[here are source files]").
+
+For example, see a structure of the following two libraries `Foo` and `Bar`:
+
+|--lib
+|  |
+|  |--Bar
+|  |  |--docs
+|  |  |--examples
+|  |  |--src
+|  |     |- Bar.c
+|  |     |- Bar.h
+|  |  |- library.json (optional, custom build options, etc) https://docs.platformio.org/page/librarymanager/config.html
+|  |
+|  |--Foo
+|  |  |- Foo.c
+|  |  |- Foo.h
+|  |
+|  |- README --> THIS FILE
+|
+|- platformio.ini
+|--src
+   |- main.c
+
+and a contents of `src/main.c`:
+```
+#include <Foo.h>
+#include <Bar.h>
+
+int main (void)
+{
+  ...
+}
+
+```
+
+PlatformIO Library Dependency Finder will find automatically dependent
+libraries scanning project source files.
+
+More information about PlatformIO Library Dependency Finder
+- https://docs.platformio.org/page/librarymanager/ldf.html
diff --git a/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/platformio.ini b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/platformio.ini
new file mode 100644
index 00000000..8836ab42
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/platformio.ini
@@ -0,0 +1,23 @@
+; PlatformIO Project Configuration File
+;
+;   Build options: build flags, source filter
+;   Upload options: custom upload port, speed and extra flags
+;   Library options: dependencies, extra library storages
+;   Advanced options: extra scripting
+;
+; Please visit documentation for the other options and examples
+; https://docs.platformio.org/page/projectconf.html
+
+[env:seeed_wio_terminal]
+platform = atmelsam
+board = seeed_wio_terminal
+framework = arduino
+lib_deps =
+    seeed-studio/Seeed Arduino FS @ 2.1.1
+    seeed-studio/Seeed Arduino SFUD @ 2.0.2
+    seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
+    seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
+    seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
+    seeed-studio/Seeed Arduino RTC @ 2.0.0
+    bblanchon/ArduinoJson @ 6.17.3
+    contrem/arduino-timer @ 2.3.0
diff --git a/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/config.h b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/config.h
new file mode 100644
index 00000000..4c06dc6a
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/config.h
@@ -0,0 +1,91 @@
+#pragma once
+
+#define RATE 16000
+#define SAMPLE_LENGTH_SECONDS 4
+#define SAMPLES RATE * SAMPLE_LENGTH_SECONDS
+#define BUFFER_SIZE (SAMPLES * 2) + 44
+#define ADC_BUF_LEN 1600
+
+const char *SSID = "<SSID>";
+const char *PASSWORD = "<PASSWORD>";
+
+const char *SPEECH_API_KEY = "<API_KEY>";
+const char *SPEECH_LOCATION = "<LOCATION>";
+const char *LANGUAGE = "<LANGUAGE>";
+
+const char *TOKEN_URL = "https://%s.api.cognitive.microsoft.com/sts/v1.0/issuetoken";
+const char *SPEECH_URL = "https://%s.stt.speech.microsoft.com/speech/recognition/conversation/cognitiveservices/v1?language=%s";
+
+const char *TEXT_TO_TIMER_FUNCTION_URL = "http://<IP_ADDRESS>:7071/api/text-to-timer";
+
+const char *TOKEN_CERTIFICATE =
+    "-----BEGIN CERTIFICATE-----\r\n"
+    "MIIF8zCCBNugAwIBAgIQAueRcfuAIek/4tmDg0xQwDANBgkqhkiG9w0BAQwFADBh\r\n"
+    "MQswCQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3\r\n"
+    "d3cuZGlnaWNlcnQuY29tMSAwHgYDVQQDExdEaWdpQ2VydCBHbG9iYWwgUm9vdCBH\r\n"
+    "MjAeFw0yMDA3MjkxMjMwMDBaFw0yNDA2MjcyMzU5NTlaMFkxCzAJBgNVBAYTAlVT\r\n"
+    "MR4wHAYDVQQKExVNaWNyb3NvZnQgQ29ycG9yYXRpb24xKjAoBgNVBAMTIU1pY3Jv\r\n"
+    "c29mdCBBenVyZSBUTFMgSXNzdWluZyBDQSAwNjCCAiIwDQYJKoZIhvcNAQEBBQAD\r\n"
+    "ggIPADCCAgoCggIBALVGARl56bx3KBUSGuPc4H5uoNFkFH4e7pvTCxRi4j/+z+Xb\r\n"
+    "wjEz+5CipDOqjx9/jWjskL5dk7PaQkzItidsAAnDCW1leZBOIi68Lff1bjTeZgMY\r\n"
+    "iwdRd3Y39b/lcGpiuP2d23W95YHkMMT8IlWosYIX0f4kYb62rphyfnAjYb/4Od99\r\n"
+    "ThnhlAxGtfvSbXcBVIKCYfZgqRvV+5lReUnd1aNjRYVzPOoifgSx2fRyy1+pO1Uz\r\n"
+    "aMMNnIOE71bVYW0A1hr19w7kOb0KkJXoALTDDj1ukUEDqQuBfBxReL5mXiu1O7WG\r\n"
+    "0vltg0VZ/SZzctBsdBlx1BkmWYBW261KZgBivrql5ELTKKd8qgtHcLQA5fl6JB0Q\r\n"
+    "gs5XDaWehN86Gps5JW8ArjGtjcWAIP+X8CQaWfaCnuRm6Bk/03PQWhgdi84qwA0s\r\n"
+    "sRfFJwHUPTNSnE8EiGVk2frt0u8PG1pwSQsFuNJfcYIHEv1vOzP7uEOuDydsmCjh\r\n"
+    "lxuoK2n5/2aVR3BMTu+p4+gl8alXoBycyLmj3J/PUgqD8SL5fTCUegGsdia/Sa60\r\n"
+    "N2oV7vQ17wjMN+LXa2rjj/b4ZlZgXVojDmAjDwIRdDUujQu0RVsJqFLMzSIHpp2C\r\n"
+    "Zp7mIoLrySay2YYBu7SiNwL95X6He2kS8eefBBHjzwW/9FxGqry57i71c2cDAgMB\r\n"
+    "AAGjggGtMIIBqTAdBgNVHQ4EFgQU1cFnOsKjnfR3UltZEjgp5lVou6UwHwYDVR0j\r\n"
+    "BBgwFoAUTiJUIBiV5uNu5g/6+rkS7QYXjzkwDgYDVR0PAQH/BAQDAgGGMB0GA1Ud\r\n"
+    "JQQWMBQGCCsGAQUFBwMBBggrBgEFBQcDAjASBgNVHRMBAf8ECDAGAQH/AgEAMHYG\r\n"
+    "CCsGAQUFBwEBBGowaDAkBggrBgEFBQcwAYYYaHR0cDovL29jc3AuZGlnaWNlcnQu\r\n"
+    "Y29tMEAGCCsGAQUFBzAChjRodHRwOi8vY2FjZXJ0cy5kaWdpY2VydC5jb20vRGln\r\n"
+    "aUNlcnRHbG9iYWxSb290RzIuY3J0MHsGA1UdHwR0MHIwN6A1oDOGMWh0dHA6Ly9j\r\n"
+    "cmwzLmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5jcmwwN6A1oDOG\r\n"
+    "MWh0dHA6Ly9jcmw0LmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5j\r\n"
+    "cmwwHQYDVR0gBBYwFDAIBgZngQwBAgEwCAYGZ4EMAQICMBAGCSsGAQQBgjcVAQQD\r\n"
+    "AgEAMA0GCSqGSIb3DQEBDAUAA4IBAQB2oWc93fB8esci/8esixj++N22meiGDjgF\r\n"
+    "+rA2LUK5IOQOgcUSTGKSqF9lYfAxPjrqPjDCUPHCURv+26ad5P/BYtXtbmtxJWu+\r\n"
+    "cS5BhMDPPeG3oPZwXRHBJFAkY4O4AF7RIAAUW6EzDflUoDHKv83zOiPfYGcpHc9s\r\n"
+    "kxAInCedk7QSgXvMARjjOqdakor21DTmNIUotxo8kHv5hwRlGhBJwps6fEVi1Bt0\r\n"
+    "trpM/3wYxlr473WSPUFZPgP1j519kLpWOJ8z09wxay+Br29irPcBYv0GMXlHqThy\r\n"
+    "8y4m/HyTQeI2IMvMrQnwqPpY+rLIXyviI2vLoI+4xKE4Rn38ZZ8m\r\n"
+    "-----END CERTIFICATE-----\r\n";
+
+const char *SPEECH_CERTIFICATE =
+    "-----BEGIN CERTIFICATE-----\r\n"
+    "MIIF8zCCBNugAwIBAgIQCq+mxcpjxFFB6jvh98dTFzANBgkqhkiG9w0BAQwFADBh\r\n"
+    "MQswCQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3\r\n"
+    "d3cuZGlnaWNlcnQuY29tMSAwHgYDVQQDExdEaWdpQ2VydCBHbG9iYWwgUm9vdCBH\r\n"
+    "MjAeFw0yMDA3MjkxMjMwMDBaFw0yNDA2MjcyMzU5NTlaMFkxCzAJBgNVBAYTAlVT\r\n"
+    "MR4wHAYDVQQKExVNaWNyb3NvZnQgQ29ycG9yYXRpb24xKjAoBgNVBAMTIU1pY3Jv\r\n"
+    "c29mdCBBenVyZSBUTFMgSXNzdWluZyBDQSAwMTCCAiIwDQYJKoZIhvcNAQEBBQAD\r\n"
+    "ggIPADCCAgoCggIBAMedcDrkXufP7pxVm1FHLDNA9IjwHaMoaY8arqqZ4Gff4xyr\r\n"
+    "RygnavXL7g12MPAx8Q6Dd9hfBzrfWxkF0Br2wIvlvkzW01naNVSkHp+OS3hL3W6n\r\n"
+    "l/jYvZnVeJXjtsKYcXIf/6WtspcF5awlQ9LZJcjwaH7KoZuK+THpXCMtzD8XNVdm\r\n"
+    "GW/JI0C/7U/E7evXn9XDio8SYkGSM63aLO5BtLCv092+1d4GGBSQYolRq+7Pd1kR\r\n"
+    "EkWBPm0ywZ2Vb8GIS5DLrjelEkBnKCyy3B0yQud9dpVsiUeE7F5sY8Me96WVxQcb\r\n"
+    "OyYdEY/j/9UpDlOG+vA+YgOvBhkKEjiqygVpP8EZoMMijephzg43b5Qi9r5UrvYo\r\n"
+    "o19oR/8pf4HJNDPF0/FJwFVMW8PmCBLGstin3NE1+NeWTkGt0TzpHjgKyfaDP2tO\r\n"
+    "4bCk1G7pP2kDFT7SYfc8xbgCkFQ2UCEXsaH/f5YmpLn4YPiNFCeeIida7xnfTvc4\r\n"
+    "7IxyVccHHq1FzGygOqemrxEETKh8hvDR6eBdrBwmCHVgZrnAqnn93JtGyPLi6+cj\r\n"
+    "WGVGtMZHwzVvX1HvSFG771sskcEjJxiQNQDQRWHEh3NxvNb7kFlAXnVdRkkvhjpR\r\n"
+    "GchFhTAzqmwltdWhWDEyCMKC2x/mSZvZtlZGY+g37Y72qHzidwtyW7rBetZJAgMB\r\n"
+    "AAGjggGtMIIBqTAdBgNVHQ4EFgQUDyBd16FXlduSzyvQx8J3BM5ygHYwHwYDVR0j\r\n"
+    "BBgwFoAUTiJUIBiV5uNu5g/6+rkS7QYXjzkwDgYDVR0PAQH/BAQDAgGGMB0GA1Ud\r\n"
+    "JQQWMBQGCCsGAQUFBwMBBggrBgEFBQcDAjASBgNVHRMBAf8ECDAGAQH/AgEAMHYG\r\n"
+    "CCsGAQUFBwEBBGowaDAkBggrBgEFBQcwAYYYaHR0cDovL29jc3AuZGlnaWNlcnQu\r\n"
+    "Y29tMEAGCCsGAQUFBzAChjRodHRwOi8vY2FjZXJ0cy5kaWdpY2VydC5jb20vRGln\r\n"
+    "aUNlcnRHbG9iYWxSb290RzIuY3J0MHsGA1UdHwR0MHIwN6A1oDOGMWh0dHA6Ly9j\r\n"
+    "cmwzLmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5jcmwwN6A1oDOG\r\n"
+    "MWh0dHA6Ly9jcmw0LmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5j\r\n"
+    "cmwwHQYDVR0gBBYwFDAIBgZngQwBAgEwCAYGZ4EMAQICMBAGCSsGAQQBgjcVAQQD\r\n"
+    "AgEAMA0GCSqGSIb3DQEBDAUAA4IBAQAlFvNh7QgXVLAZSsNR2XRmIn9iS8OHFCBA\r\n"
+    "WxKJoi8YYQafpMTkMqeuzoL3HWb1pYEipsDkhiMnrpfeYZEA7Lz7yqEEtfgHcEBs\r\n"
+    "K9KcStQGGZRfmWU07hPXHnFz+5gTXqzCE2PBMlRgVUYJiA25mJPXfB00gDvGhtYa\r\n"
+    "+mENwM9Bq1B9YYLyLjRtUz8cyGsdyTIG/bBM/Q9jcV8JGqMU/UjAdh1pFyTnnHEl\r\n"
+    "Y59Npi7F87ZqYYJEHJM2LGD+le8VsHjgeWX2CJQko7klXvcizuZvUEDTjHaQcs2J\r\n"
+    "+kPgfyMIOY1DMJ21NxOJ2xPRC/wAh/hzSBRVtoAnyuxtkZ4VjIOh\r\n"
+    "-----END CERTIFICATE-----\r\n";
diff --git a/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/flash_stream.h b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/flash_stream.h
new file mode 100644
index 00000000..b841f1d0
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/flash_stream.h
@@ -0,0 +1,69 @@
+#pragma once
+
+#include <Arduino.h>
+#include <HTTPClient.h>
+#include <sfud.h>
+
+#include "config.h"
+
+class FlashStream : public Stream
+{
+public:
+    FlashStream()
+    {
+        _pos = 0;
+        _flash_address = 0;
+        _flash = sfud_get_device_table() + 0;
+        
+        populateBuffer();
+    }
+
+    virtual size_t write(uint8_t val)
+    {
+        return 0;
+    }
+
+    virtual int available()
+    {
+        int remaining = BUFFER_SIZE - ((_flash_address - HTTP_TCP_BUFFER_SIZE) + _pos);
+        int bytes_available = min(HTTP_TCP_BUFFER_SIZE, remaining);
+
+        if (bytes_available == 0)
+        {
+            bytes_available = -1;
+        }
+
+        return bytes_available;
+    }
+
+    virtual int read()
+    {
+        int retVal = _buffer[_pos++];
+
+        if (_pos == HTTP_TCP_BUFFER_SIZE)
+        {
+            populateBuffer();
+        }
+
+        return retVal;
+    }
+
+    virtual int peek()
+    {
+        return _buffer[_pos];
+    }
+
+private:
+    void populateBuffer()
+    {
+        sfud_read(_flash, _flash_address, HTTP_TCP_BUFFER_SIZE, _buffer);
+        _flash_address += HTTP_TCP_BUFFER_SIZE;
+        _pos = 0;
+    }
+    
+    size_t _pos;
+    size_t _flash_address;
+    const sfud_flash *_flash;
+
+    byte _buffer[HTTP_TCP_BUFFER_SIZE];
+};
diff --git a/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/flash_writer.h b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/flash_writer.h
new file mode 100644
index 00000000..87fdff29
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/flash_writer.h
@@ -0,0 +1,60 @@
+#pragma once
+
+#include <Arduino.h>
+#include <sfud.h>
+
+class FlashWriter
+{
+public:
+    void init()
+    {
+        _flash = sfud_get_device_table() + 0;
+        _sfudBufferSize = _flash->chip.erase_gran;
+        _sfudBuffer = new byte[_sfudBufferSize];
+        _sfudBufferPos = 0;
+        _sfudBufferWritePos = 0;
+    }
+
+    void reset()
+    {
+        _sfudBufferPos = 0;
+        _sfudBufferWritePos = 0;
+    }
+
+    void writeSfudBuffer(byte b)
+    {
+        _sfudBuffer[_sfudBufferPos++] = b;
+        if (_sfudBufferPos == _sfudBufferSize)
+        {
+            sfud_erase_write(_flash, _sfudBufferWritePos, _sfudBufferSize, _sfudBuffer);
+            _sfudBufferWritePos += _sfudBufferSize;
+            _sfudBufferPos = 0;
+        }
+    }
+
+    void flushSfudBuffer()
+    {
+        if (_sfudBufferPos > 0)
+        {
+            sfud_erase_write(_flash, _sfudBufferWritePos, _sfudBufferSize, _sfudBuffer);
+            _sfudBufferWritePos += _sfudBufferSize;
+            _sfudBufferPos = 0;
+        }
+    }
+
+    void writeSfudBuffer(byte *b, size_t len)
+    {
+        for (size_t i = 0; i < len; ++i)
+        {
+            writeSfudBuffer(b[i]);
+        }
+    }
+
+private:
+    byte *_sfudBuffer;
+    size_t _sfudBufferSize;
+    size_t _sfudBufferPos;
+    size_t _sfudBufferWritePos;
+
+    const sfud_flash *_flash;
+};
\ No newline at end of file
diff --git a/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/language_understanding.h b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/language_understanding.h
new file mode 100644
index 00000000..1c8d8653
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/language_understanding.h
@@ -0,0 +1,53 @@
+#pragma once
+
+#include <Arduino.h>
+#include <ArduinoJson.h>
+#include <HTTPClient.h>
+#include <WiFiClient.h>
+
+#include "config.h"
+
+class LanguageUnderstanding
+{
+public:
+    int GetTimerDuration(String text)
+    {
+        DynamicJsonDocument doc(1024);
+        doc["text"] = text;
+
+        String body;
+        serializeJson(doc, body);
+
+        HTTPClient httpClient;
+        httpClient.begin(_client, TEXT_TO_TIMER_FUNCTION_URL);
+
+        int httpResponseCode = httpClient.POST(body);
+
+        int seconds = 0;
+        if (httpResponseCode == 200)
+        {
+            String result = httpClient.getString();
+            Serial.println(result);
+
+            DynamicJsonDocument doc(1024);
+            deserializeJson(doc, result.c_str());
+
+            JsonObject obj = doc.as<JsonObject>();
+            seconds = obj["seconds"].as<int>();
+        }
+        else
+        {
+            Serial.print("Failed to understand text - error ");
+            Serial.println(httpResponseCode);
+        }
+
+        httpClient.end();
+
+        return seconds;
+    }
+
+private:
+    WiFiClient _client;
+};
+
+LanguageUnderstanding languageUnderstanding;
\ No newline at end of file
diff --git a/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/main.cpp b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/main.cpp
new file mode 100644
index 00000000..1f538015
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/main.cpp
@@ -0,0 +1,127 @@
+#include <Arduino.h>
+#include <arduino-timer.h>
+#include <rpcWiFi.h>
+#include <sfud.h>
+#include <SPI.h>
+
+#include "config.h"
+#include "language_understanding.h"
+#include "mic.h"
+#include "speech_to_text.h"
+
+void connectWiFi()
+{
+    while (WiFi.status() != WL_CONNECTED)
+    {
+        Serial.println("Connecting to WiFi..");
+        WiFi.begin(SSID, PASSWORD);
+        delay(500);
+    }
+
+    Serial.println("Connected!");
+}
+
+void setup()
+{
+    Serial.begin(9600);
+
+    while (!Serial)
+        ; // Wait for Serial to be ready
+
+    delay(1000);
+
+    connectWiFi();
+
+    while (!(sfud_init() == SFUD_SUCCESS))
+        ;
+
+    sfud_qspi_fast_read_enable(sfud_get_device(SFUD_W25Q32_DEVICE_INDEX), 2);
+
+    pinMode(WIO_KEY_C, INPUT_PULLUP);
+
+    mic.init();
+
+    speechToText.init();
+
+    Serial.println("Ready.");
+}
+
+auto timer = timer_create_default();
+
+void say(String text)
+{
+    Serial.println(text);
+}
+
+bool timerExpired(void *announcement)
+{
+    say((char *)announcement);
+    return false;
+}
+
+void processAudio()
+{
+    String text = speechToText.convertSpeechToText();
+    Serial.println(text);
+
+    int total_seconds = languageUnderstanding.GetTimerDuration(text);
+    if (total_seconds == 0)
+    {
+        return;
+    }
+
+    int minutes = total_seconds / 60;
+    int seconds = total_seconds % 60;
+
+    String begin_message;
+    if (minutes > 0)
+    {
+        begin_message += minutes;
+        begin_message += " minute ";
+    }
+    if (seconds > 0)
+    {
+        begin_message += seconds;
+        begin_message += " second ";
+    }
+
+    begin_message += "timer started.";
+
+    String end_message("Times up on your ");
+    if (minutes > 0)
+    {
+        end_message += minutes;
+        end_message += " minute ";
+    }
+    if (seconds > 0)
+    {
+        end_message += seconds;
+        end_message += " second ";
+    }
+
+    end_message += "timer.";
+
+    say(begin_message);
+
+    timer.in(total_seconds * 1000, timerExpired, (void *)(end_message.c_str()));
+}
+
+void loop()
+{
+    if (digitalRead(WIO_KEY_C) == LOW && !mic.isRecording())
+    {
+        Serial.println("Starting recording...");
+        mic.startRecording();
+    }
+
+    if (!mic.isRecording() && mic.isRecordingReady())
+    {
+        Serial.println("Finished recording");
+
+        processAudio();
+
+        mic.reset();
+    }
+
+    timer.tick();
+}
diff --git a/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/mic.h b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/mic.h
new file mode 100644
index 00000000..5f0815de
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/mic.h
@@ -0,0 +1,242 @@
+#pragma once
+
+#include <Arduino.h>
+
+#include "config.h"
+#include "flash_writer.h"
+
+class Mic
+{
+public:
+    Mic()
+    {
+        _isRecording = false;
+        _isRecordingReady = false;
+    }
+
+    void startRecording()
+    {
+        _isRecording = true;
+        _isRecordingReady = false;
+    }
+
+    bool isRecording()
+    {
+        return _isRecording;
+    }
+
+    bool isRecordingReady()
+    {
+        return _isRecordingReady;
+    }
+
+    void init()
+    {
+        analogReference(AR_INTERNAL2V23);
+        
+        _writer.init();
+
+        initBufferHeader();
+        configureDmaAdc();
+    }
+
+    void reset()
+    {
+        _isRecordingReady = false;
+        _isRecording = false;
+
+        _writer.reset();
+
+        initBufferHeader();
+    }
+
+    void dmaHandler()
+    {
+        static uint8_t count = 0;
+
+        if (DMAC->Channel[1].CHINTFLAG.bit.SUSP)
+        {
+            DMAC->Channel[1].CHCTRLB.reg = DMAC_CHCTRLB_CMD_RESUME;
+            DMAC->Channel[1].CHINTFLAG.bit.SUSP = 1;
+
+            if (count)
+            {
+                audioCallback(_adc_buf_0, ADC_BUF_LEN);
+            }
+            else
+            {
+                audioCallback(_adc_buf_1, ADC_BUF_LEN);
+            }
+
+            count = (count + 1) % 2;
+        }
+    }
+
+private:
+    volatile bool _isRecording;
+    volatile bool _isRecordingReady;
+    FlashWriter _writer;
+
+typedef struct
+    {
+        uint16_t btctrl;
+        uint16_t btcnt;
+        uint32_t srcaddr;
+        uint32_t dstaddr;
+        uint32_t descaddr;
+    } dmacdescriptor;
+
+    // Globals - DMA and ADC
+    volatile dmacdescriptor _wrb[DMAC_CH_NUM] __attribute__((aligned(16)));
+    dmacdescriptor _descriptor_section[DMAC_CH_NUM] __attribute__((aligned(16)));
+    dmacdescriptor _descriptor __attribute__((aligned(16)));
+
+    void configureDmaAdc()
+    {
+        // Configure DMA to sample from ADC at a regular interval (triggered by timer/counter)
+        DMAC->BASEADDR.reg = (uint32_t)_descriptor_section;                    // Specify the location of the descriptors
+        DMAC->WRBADDR.reg = (uint32_t)_wrb;                                    // Specify the location of the write back descriptors
+        DMAC->CTRL.reg = DMAC_CTRL_DMAENABLE | DMAC_CTRL_LVLEN(0xf);           // Enable the DMAC peripheral
+        DMAC->Channel[1].CHCTRLA.reg = DMAC_CHCTRLA_TRIGSRC(TC5_DMAC_ID_OVF) | // Set DMAC to trigger on TC5 timer overflow
+                                       DMAC_CHCTRLA_TRIGACT_BURST;             // DMAC burst transfer
+
+        _descriptor.descaddr = (uint32_t)&_descriptor_section[1];                    // Set up a circular descriptor
+        _descriptor.srcaddr = (uint32_t)&ADC1->RESULT.reg;                           // Take the result from the ADC0 RESULT register
+        _descriptor.dstaddr = (uint32_t)_adc_buf_0 + sizeof(uint16_t) * ADC_BUF_LEN; // Place it in the adc_buf_0 array
+        _descriptor.btcnt = ADC_BUF_LEN;                                             // Beat count
+        _descriptor.btctrl = DMAC_BTCTRL_BEATSIZE_HWORD |                            // Beat size is HWORD (16-bits)
+                             DMAC_BTCTRL_DSTINC |                                    // Increment the destination address
+                             DMAC_BTCTRL_VALID |                                     // Descriptor is valid
+                             DMAC_BTCTRL_BLOCKACT_SUSPEND;                           // Suspend DMAC channel 0 after block transfer
+        memcpy(&_descriptor_section[0], &_descriptor, sizeof(_descriptor));          // Copy the descriptor to the descriptor section
+
+        _descriptor.descaddr = (uint32_t)&_descriptor_section[0];                    // Set up a circular descriptor
+        _descriptor.srcaddr = (uint32_t)&ADC1->RESULT.reg;                           // Take the result from the ADC0 RESULT register
+        _descriptor.dstaddr = (uint32_t)_adc_buf_1 + sizeof(uint16_t) * ADC_BUF_LEN; // Place it in the adc_buf_1 array
+        _descriptor.btcnt = ADC_BUF_LEN;                                             // Beat count
+        _descriptor.btctrl = DMAC_BTCTRL_BEATSIZE_HWORD |                            // Beat size is HWORD (16-bits)
+                             DMAC_BTCTRL_DSTINC |                                    // Increment the destination address
+                             DMAC_BTCTRL_VALID |                                     // Descriptor is valid
+                             DMAC_BTCTRL_BLOCKACT_SUSPEND;                           // Suspend DMAC channel 0 after block transfer
+        memcpy(&_descriptor_section[1], &_descriptor, sizeof(_descriptor));          // Copy the descriptor to the descriptor section
+
+        // Configure NVIC
+        NVIC_SetPriority(DMAC_1_IRQn, 0); // Set the Nested Vector Interrupt Controller (NVIC) priority for DMAC1 to 0 (highest)
+        NVIC_EnableIRQ(DMAC_1_IRQn);      // Connect DMAC1 to Nested Vector Interrupt Controller (NVIC)
+
+        // Activate the suspend (SUSP) interrupt on DMAC channel 1
+        DMAC->Channel[1].CHINTENSET.reg = DMAC_CHINTENSET_SUSP;
+
+        // Configure ADC
+        ADC1->INPUTCTRL.bit.MUXPOS = ADC_INPUTCTRL_MUXPOS_AIN12_Val; // Set the analog input to ADC0/AIN2 (PB08 - A4 on Metro M4)
+        while (ADC1->SYNCBUSY.bit.INPUTCTRL)
+            ;                              // Wait for synchronization
+        ADC1->SAMPCTRL.bit.SAMPLEN = 0x00; // Set max Sampling Time Length to half divided ADC clock pulse (2.66us)
+        while (ADC1->SYNCBUSY.bit.SAMPCTRL)
+            ;                                         // Wait for synchronization
+        ADC1->CTRLA.reg = ADC_CTRLA_PRESCALER_DIV128; // Divide Clock ADC GCLK by 128 (48MHz/128 = 375kHz)
+        ADC1->CTRLB.reg = ADC_CTRLB_RESSEL_12BIT |    // Set ADC resolution to 12 bits
+                          ADC_CTRLB_FREERUN;          // Set ADC to free run mode
+        while (ADC1->SYNCBUSY.bit.CTRLB)
+            ;                       // Wait for synchronization
+        ADC1->CTRLA.bit.ENABLE = 1; // Enable the ADC
+        while (ADC1->SYNCBUSY.bit.ENABLE)
+            ;                       // Wait for synchronization
+        ADC1->SWTRIG.bit.START = 1; // Initiate a software trigger to start an ADC conversion
+        while (ADC1->SYNCBUSY.bit.SWTRIG)
+            ; // Wait for synchronization
+
+        // Enable DMA channel 1
+        DMAC->Channel[1].CHCTRLA.bit.ENABLE = 1;
+
+        // Configure Timer/Counter 5
+        GCLK->PCHCTRL[TC5_GCLK_ID].reg = GCLK_PCHCTRL_CHEN |     // Enable perhipheral channel for TC5
+                                         GCLK_PCHCTRL_GEN_GCLK1; // Connect generic clock 0 at 48MHz
+
+        TC5->COUNT16.WAVE.reg = TC_WAVE_WAVEGEN_MFRQ; // Set TC5 to Match Frequency (MFRQ) mode
+        TC5->COUNT16.CC[0].reg = 3000 - 1;            // Set the trigger to 16 kHz: (4Mhz / 16000) - 1
+        while (TC5->COUNT16.SYNCBUSY.bit.CC0)
+            ; // Wait for synchronization
+
+        // Start Timer/Counter 5
+        TC5->COUNT16.CTRLA.bit.ENABLE = 1; // Enable the TC5 timer
+        while (TC5->COUNT16.SYNCBUSY.bit.ENABLE)
+            ; // Wait for synchronization
+    }
+
+    uint16_t _adc_buf_0[ADC_BUF_LEN];
+    uint16_t _adc_buf_1[ADC_BUF_LEN];
+
+    // WAV files have a header. This struct defines that header
+    struct wavFileHeader
+    {
+        char riff[4];         /* "RIFF"                                  */
+        long flength;         /* file length in bytes                    */
+        char wave[4];         /* "WAVE"                                  */
+        char fmt[4];          /* "fmt "                                  */
+        long chunk_size;      /* size of FMT chunk in bytes (usually 16) */
+        short format_tag;     /* 1=PCM, 257=Mu-Law, 258=A-Law, 259=ADPCM */
+        short num_chans;      /* 1=mono, 2=stereo                        */
+        long srate;           /* Sampling rate in samples per second     */
+        long bytes_per_sec;   /* bytes per second = srate*bytes_per_samp */
+        short bytes_per_samp; /* 2=16-bit mono, 4=16-bit stereo          */
+        short bits_per_samp;  /* Number of bits per sample               */
+        char data[4];         /* "data"                                  */
+        long dlength;         /* data length in bytes (filelength - 44)  */
+    };
+
+    void initBufferHeader()
+    {
+        wavFileHeader wavh;
+
+        strncpy(wavh.riff, "RIFF", 4);
+        strncpy(wavh.wave, "WAVE", 4);
+        strncpy(wavh.fmt, "fmt ", 4);
+        strncpy(wavh.data, "data", 4);
+
+        wavh.chunk_size = 16;
+        wavh.format_tag = 1; // PCM
+        wavh.num_chans = 1;  // mono
+        wavh.srate = RATE;
+        wavh.bytes_per_sec = (RATE * 1 * 16 * 1) / 8;
+        wavh.bytes_per_samp = 2;
+        wavh.bits_per_samp = 16;
+        wavh.dlength = RATE * 2 * 1 * 16 / 2;
+        wavh.flength = wavh.dlength + 44;
+
+        _writer.writeSfudBuffer((byte *)&wavh, 44);
+    }
+
+    void audioCallback(uint16_t *buf, uint32_t buf_len)
+    {
+        static uint32_t idx = 44;
+
+        if (_isRecording)
+        {
+            for (uint32_t i = 0; i < buf_len; i++)
+            {
+                int16_t audio_value = ((int16_t)buf[i] - 2048) * 16;
+
+                _writer.writeSfudBuffer(audio_value & 0xFF);
+                _writer.writeSfudBuffer((audio_value >> 8) & 0xFF);
+            }
+
+            idx += buf_len;
+                
+            if (idx >= BUFFER_SIZE)
+            {
+                _writer.flushSfudBuffer();
+                idx = 44;
+                _isRecording = false;
+                _isRecordingReady = true;
+            }
+        }
+    }
+};
+
+Mic mic;
+
+void DMAC_1_Handler()
+{
+    mic.dmaHandler();
+}
diff --git a/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/speech_to_text.h b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/speech_to_text.h
new file mode 100644
index 00000000..a7ce075f
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/src/speech_to_text.h
@@ -0,0 +1,102 @@
+#pragma once
+
+#include <Arduino.h>
+#include <ArduinoJson.h>
+#include <HTTPClient.h>
+#include <WiFiClientSecure.h>
+
+#include "config.h"
+#include "flash_stream.h"
+
+class SpeechToText
+{
+public:
+    void init()
+    {
+        _token_client.setCACert(TOKEN_CERTIFICATE);
+        _speech_client.setCACert(SPEECH_CERTIFICATE);
+        _access_token = getAccessToken();
+    }
+
+    String convertSpeechToText()
+    {
+        char url[128];
+        sprintf(url, SPEECH_URL, SPEECH_LOCATION, LANGUAGE);
+
+        HTTPClient httpClient;
+        httpClient.begin(_speech_client, url);
+
+        httpClient.addHeader("Authorization", String("Bearer ") + _access_token);
+        httpClient.addHeader("Content-Type", String("audio/wav; codecs=audio/pcm; samplerate=") + String(RATE));
+        httpClient.addHeader("Accept", "application/json;text/xml");
+
+        Serial.println("Sending speech...");
+
+        FlashStream stream;
+        int httpResponseCode = httpClient.sendRequest("POST", &stream, BUFFER_SIZE);
+
+        Serial.println("Speech sent!");
+
+        String text = "";
+
+        if (httpResponseCode == 200)
+        {
+            String result = httpClient.getString();
+            Serial.println(result);
+
+            DynamicJsonDocument doc(1024);
+            deserializeJson(doc, result.c_str());
+
+            JsonObject obj = doc.as<JsonObject>();
+            text = obj["DisplayText"].as<String>();
+        }
+        else if (httpResponseCode == 401)
+        {
+            Serial.println("Access token expired, trying again with a new token");
+            _access_token = getAccessToken();
+            return convertSpeechToText();
+        }
+        else
+        {
+            Serial.print("Failed to convert text to speech - error ");
+            Serial.println(httpResponseCode);
+        }
+
+        httpClient.end();
+
+        return text;
+    }
+
+private:
+    String getAccessToken()
+    {
+        char url[128];
+        sprintf(url, TOKEN_URL, SPEECH_LOCATION);
+
+        HTTPClient httpClient;
+        httpClient.begin(_token_client, url);
+
+        httpClient.addHeader("Ocp-Apim-Subscription-Key", SPEECH_API_KEY);
+        int httpResultCode = httpClient.POST("{}");
+
+        if (httpResultCode != 200)
+        {
+            Serial.println("Error getting access token, trying again...");
+            delay(10000);
+            return getAccessToken();
+        }
+
+        Serial.println("Got access token.");
+        String result = httpClient.getString();
+
+        httpClient.end();
+
+        return result;
+    }
+
+    WiFiClientSecure _token_client;
+    WiFiClientSecure _speech_client;
+    String _access_token;
+};
+
+SpeechToText speechToText;
diff --git a/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/test/README b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/test/README
new file mode 100644
index 00000000..b94d0890
--- /dev/null
+++ b/6-consumer/lessons/3-spoken-feedback/code-timer/wio-terminal/smart-timer/test/README
@@ -0,0 +1,11 @@
+
+This directory is intended for PlatformIO Unit Testing and project tests.
+
+Unit Testing is a software testing method by which individual units of
+source code, sets of one or more MCU program modules together with associated
+control data, usage procedures, and operating procedures, are tested to
+determine whether they are fit for use. Unit testing finds problems early
+in the development cycle.
+
+More information about PlatformIO Unit Testing:
+- https://docs.platformio.org/page/plus/unit-testing.html
diff --git a/6-consumer/lessons/3-spoken-feedback/single-board-computer-set-timer.md b/6-consumer/lessons/3-spoken-feedback/single-board-computer-set-timer.md
index b2b87597..828fde95 100644
--- a/6-consumer/lessons/3-spoken-feedback/single-board-computer-set-timer.md
+++ b/6-consumer/lessons/3-spoken-feedback/single-board-computer-set-timer.md
@@ -1,6 +1,6 @@
 # Set a timer - Virtual IoT Hardware and Raspberry Pi
 
-In this part of the lesson, you will set a timer on your virtual IoT device or Raspberry Pi based off a command from the IoT Hub.
+In this part of the lesson, you will call your serverless code to understand the speech, and set a timer n your virtual IoT device or Raspberry Pi based off the results.
 
 ## Set a timer
 
diff --git a/6-consumer/lessons/3-spoken-feedback/wio-terminal-set-timer.md b/6-consumer/lessons/3-spoken-feedback/wio-terminal-set-timer.md
index 2e8910e5..3480a4fd 100644
--- a/6-consumer/lessons/3-spoken-feedback/wio-terminal-set-timer.md
+++ b/6-consumer/lessons/3-spoken-feedback/wio-terminal-set-timer.md
@@ -1,3 +1,287 @@
 # Set a timer - Wio Terminal
 
-Coming soon
+In this part of the lesson, you will call your serverless code to understand the speech, and set a timer on your Wio Terminal based off the results.
+
+## Set a timer
+
+The text that comes back from the speech to text call needs to be sent to your serverless code to be processed by LUIS, getting back the number of seconds for the timer. This number of seconds can be used to set a timer.
+
+Microcontrollers don't natively have support for multiple threads in Arduino, so there are no standard timer classes like you might find when coding in Python or other higher-level languages. Instead you can use timer libraries that work by measuring elapsed time in the `loop` function, and calling functions when the time is up.
+
+### Task - send the text to the serverless function
+
+1. Open the `smart-timer` project in VS Code if it is not already open.
+
+1. Open the `config.h` header file and add the URL for your function app:
+
+    ```cpp
+    const char *TEXT_TO_TIMER_FUNCTION_URL = "<URL>";
+    ```
+
+    Replace `<URL>` with the URL for your function app that you obtained in the last step of the last lesson, pointing to the IP address of your local machine that is running the function app.
+
+1. Create a new file in the `src` folder called `language_understanding.h`. This will be used to define a class to send the recognized speech to your function app to be converted to seconds using LUIS.
+
+1. Add the following to the top of this file:
+
+    ```cpp
+    #pragma once
+    
+    #include <Arduino.h>
+    #include <ArduinoJson.h>
+    #include <HTTPClient.h>
+    #include <WiFiClient.h>
+    
+    #include "config.h"
+    ```
+
+    This includes some needed header files.
+
+1. Define a class called `LanguageUnderstanding`, and declare an instance of this class:
+
+    ```cpp
+    class LanguageUnderstanding
+    {
+    public:
+    private:
+    };
+
+    LanguageUnderstanding languageUnderstanding;
+    ```
+
+1. To call your functions app, you need to declare a WiFi client. Add the following to the `private` section of the class:
+
+    ```cpp
+    WiFiClient _client;
+    ```
+
+1. In the `public` section, declare a method called `GetTimerDuration` to call the functions app:
+
+    ```cpp
+    int GetTimerDuration(String text)
+    {
+    }
+    ```
+
+1. In the `GetTimerDuration` method, add the following code to build the JSON to be sent to the functions app:
+
+    ```cpp
+    DynamicJsonDocument doc(1024);
+    doc["text"] = text;
+
+    String body;
+    serializeJson(doc, body);
+    ```
+
+    This coverts the text passed to the `GetTimerDuration` method into the following JSON:
+
+    ```json
+    {
+        "text" : "<text>"
+    }
+    ```
+
+    where `<text>` is the text passed to the function.
+
+1. Below this, add the following code to make the functions app call:
+
+    ```cpp
+    HTTPClient httpClient;
+    httpClient.begin(_client, TEXT_TO_TIMER_FUNCTION_URL);
+
+    int httpResponseCode = httpClient.POST(body);
+    ```
+
+    This makes a POST request to the functions app, passing the JSON body and getting the response code.
+
+1. Add the following code below this:
+
+    ```cpp
+    int seconds = 0;
+    if (httpResponseCode == 200)
+    {
+        String result = httpClient.getString();
+        Serial.println(result);
+
+        DynamicJsonDocument doc(1024);
+        deserializeJson(doc, result.c_str());
+
+        JsonObject obj = doc.as<JsonObject>();
+        seconds = obj["seconds"].as<int>();
+    }
+    else
+    {
+        Serial.print("Failed to understand text - error ");
+        Serial.println(httpResponseCode);
+    }
+    ```
+
+    This code checks the response code. If it is 200 (success), then the number of seconds for the time is retrieved from the response body. Otherwise an error is sent to the serial monitor and the number of seconds is set to 0.
+
+1. Add the following code to the end of this method to close the HTTP connection and return the number of seconds:
+
+    ```cpp
+    httpClient.end();
+
+    return seconds;
+    ```
+
+1. In the `main.cpp` file, include this new header:
+
+    ```cpp
+    #include "speech_to_text.h"
+    ```
+
+1. On the end of the `processAudio` function, call the `GetTimerDuration` method to get the timer duration:
+
+    ```cpp
+    int total_seconds = languageUnderstanding.GetTimerDuration(text);
+    ```
+
+    This converts the text from the call to the `SpeechToText` class into the number of seconds for the timer.
+
+### Task - set a timer
+
+The number of seconds can be used to set a timer.
+
+1. Add the following library dependency to the `platformio.ini` file to add a library to set a timer:
+
+    ```ini
+    contrem/arduino-timer @ 2.3.0
+    ```
+
+1. Add an include directive for this library to the `main.cpp` file:
+
+    ```cpp
+    #include <arduino-timer.h>
+    ```
+
+1. Above the `processAudio` function, add the following code:
+
+    ```cpp
+    auto timer = timer_create_default();
+    ```
+
+    This code declares a timer called `timer`.
+
+1. Below this, add the following code:
+
+    ```cpp
+    void say(String text)
+    {
+        Serial.print("Saying ");
+        Serial.println(text);
+    }
+    ```
+
+    This `say` function will eventually convert text to speech, but for now it will just write the passed in text to the serial monitor.
+
+1. Below the `say` function, add the following code:
+
+    ```cpp
+    bool timerExpired(void *announcement)
+    {
+        say((char *)announcement);
+        return false;
+    }
+    ```
+
+    This is a callback function that will be called when a timer expires. It is passed a message to say when the timer expires. Timers can repeat, and this can be controlled by the return value of this callback - this returns `false`, to tell the timer to not run again.
+
+1. Add the following code to the end of the `processAudio` function:
+
+    ```cpp
+    if (total_seconds == 0)
+    {
+        return;
+    }
+
+    int minutes = total_seconds / 60;
+    int seconds = total_seconds % 60;
+    ```
+
+    This code checks the total number of seconds, and if it is 0, returns from teh function call so no timers are set. It then converts the total number of seconds into minutes and seconds.
+
+1. Below this code, add the following to create a message to say when the timer is started:
+
+    ```cpp
+    String begin_message;
+    if (minutes > 0)
+    {
+        begin_message += minutes;
+        begin_message += " minute ";
+    }
+    if (seconds > 0)
+    {
+        begin_message += seconds;
+        begin_message += " second ";
+    }
+
+    begin_message += "timer started.";
+    ```
+
+1. Below this, add similar code to create a message to say when the timer has expired:
+
+    ```cpp
+    String end_message("Times up on your ");
+    if (minutes > 0)
+    {
+        end_message += minutes;
+        end_message += " minute ";
+    }
+    if (seconds > 0)
+    {
+        end_message += seconds;
+        end_message += " second ";
+    }
+
+    end_message += "timer.";
+    ```
+
+1. After this, say the timer started message:
+
+    ```cpp
+    say(begin_message);
+    ```
+
+1. At the end of this function,  start the timer:
+
+    ```cpp
+    timer.in(total_seconds * 1000, timerExpired, (void *)(end_message.c_str()));
+    ```
+
+    This triggers the timer. The timer is set using milliseconds, so the total number of seconds is multiplied by 1,000 to convert to milliseconds. The `timerExpired` function is passed as the callback, and the `end_message` is passed as an argument to pass to the callback. This callback only takes `void *` arguments, so the string is converted appropriately.
+
+1. Finally, the timer needs to *tick*, and this is done in the `loop` function. Add the following code at the end of the `loop` function:
+
+    ```cpp
+    timer.tick();
+    ```
+
+1. Build this code, upload it to your Wio Terminal and test it out through the serial monitor. Once you see `Ready` in the serial monitor, press the C button (the one on the left-hand side, closest to the power switch), and speak. 4 seconds of audio will be captured, converted to text, then sent to your function app, and a timer will be set. Make sure your functions app is running locally.
+
+    You will see when the timer starts, and when it ends.
+
+    ```output
+    --- Available filters and text transformations: colorize, debug, default, direct, hexlify, log2file, nocontrol, printable, send_on_enter, time
+    --- More details at http://bit.ly/pio-monitor-filters
+    --- Miniterm on /dev/cu.usbmodem1101  9600,8,N,1 ---
+    --- Quit: Ctrl+C | Menu: Ctrl+T | Help: Ctrl+T followed by Ctrl+H ---
+    Connecting to WiFi..
+    Connected!
+    Got access token.
+    Ready.
+    Starting recording...
+    Finished recording
+    Sending speech...
+    Speech sent!
+    {"RecognitionStatus":"Success","DisplayText":"Set a 2 minute and 27 second timer.","Offset":4700000,"Duration":35300000}
+    Set a 2 minute and 27 second timer.
+    {"seconds": 147}
+    2 minute 27 second timer started.
+    Times up on your 2 minute 27 second timer.
+    ```
+
+> 💁 You can find this code in the [code-timer/wio-terminal](code-timer/wio-terminal) folder.
+
+😀 Your timer program was a success!
diff --git a/6-consumer/lessons/3-spoken-feedback/wio-terminal-text-to-speech.md b/6-consumer/lessons/3-spoken-feedback/wio-terminal-text-to-speech.md
index e27369e6..bb247e19 100644
--- a/6-consumer/lessons/3-spoken-feedback/wio-terminal-text-to-speech.md
+++ b/6-consumer/lessons/3-spoken-feedback/wio-terminal-text-to-speech.md
@@ -1,3 +1,522 @@
 # Text to speech - Wio Terminal
 
-Coming soon
+In this part of the lesson, you will convert text to speech to provide spoken feedback.
+
+## Text to speech
+
+The speech services SDK that you used in the last lesson to convert speech to text can be used to convert text back to speech.
+
+## Get a list of voices
+
+When requesting speech, you need to provide the voice to use as speech can be generated using a variety of different voices. Each language supports a range of different voices, and you can get the list of supported voices for each language from the speech services SDK. The limitations of microcontrollers come into play here - the call to get the list of voices supported by the text to speech services is a JSON document of over 77KB in size, far to large to be processed by the Wio Terminal. At the time of writing, the full list contains 215 voices, each defined by a JSON document like the following:
+
+```json
+{
+    "Name": "Microsoft Server Speech Text to Speech Voice (en-US, AriaNeural)",
+    "DisplayName": "Aria",
+    "LocalName": "Aria",
+    "ShortName": "en-US-AriaNeural",
+    "Gender": "Female",
+    "Locale": "en-US",
+    "StyleList": [
+        "chat",
+        "customerservice",
+        "narration-professional",
+        "newscast-casual",
+        "newscast-formal",
+        "cheerful",
+        "empathetic"
+    ],
+    "SampleRateHertz": "24000",
+    "VoiceType": "Neural",
+    "Status": "GA"
+}
+```
+
+This JSON is for the **Aria** voice, which has multiple voice styles. All that is needed when converting text to speech is the shortname, `en-US-AriaNeural`.
+
+Instead of downloading and decoding this entire list on your microcontroller, you will need to write some more serverless code to retrieve the list of voices for the language you are using, and call this from your Wio Terminal. Your code can then pick an appropriate voice from the list, such as the first one it finds.
+
+### Task - create a serverless function to get a list of voices
+
+1. Open your `smart-timer-trigger` project in VS Code, and open the terminal ensuring the virtual environment is activated. If not, kill and re-create the terminal.
+
+1. Open the `local.settings.json` file and add settings for the speech API key and location:
+
+    ```json
+    "SPEECH_KEY": "<key>",
+    "SPEECH_LOCATION": "<location>"
+    ```
+
+    Replace `<key>` with the API key for your speech service resource. Replace `<location>` with the location you used when you created the speech service resource.
+
+1. Add a new HTTP trigger to this app called `get-voices` using the following command from inside the VS Code terminal in the root folder of the functions app project:
+
+    ```sh
+    func new --name get-voices --template "HTTP trigger"
+    ```
+
+    This will create an HTTP trigger called `get-voices`.
+
+1. Replace the contents of the `__init__.py` file in the `get-voices` folder with the following:
+
+    ```python
+    import json
+    import os
+    import requests
+    
+    import azure.functions as func
+    
+    def main(req: func.HttpRequest) -> func.HttpResponse:
+        location = os.environ['SPEECH_LOCATION']
+        speech_key = os.environ['SPEECH_KEY']
+    
+        req_body = req.get_json()
+        language = req_body['language']
+    
+        url = f'https://{location}.tts.speech.microsoft.com/cognitiveservices/voices/list'
+    
+        headers = {
+            'Ocp-Apim-Subscription-Key': speech_key
+        }
+    
+        response = requests.get(url, headers=headers)
+        voices_json = json.loads(response.text)
+    
+        voices = filter(lambda x: x['Locale'].lower() == language.lower(), voices_json)
+        voices = map(lambda x: x['ShortName'], voices)
+    
+        return func.HttpResponse(json.dumps(list(voices)), status_code=200)
+    ```
+
+    This code makes an HTTP request to the endpoint to get the voices. This voices list is a large block of JSON with voices for all languages, so the voices for the language passed in the request body are filtered out, then the shortname is extracted and returned as a JSON list. The shortname is the value needed to convert text to speech, so only this value is returned.
+
+    > 💁 You can change the filter as necessary to select just the voices you want.
+
+    This reduces the size of the data from 77KB (at the time of writing), to a much smaller JSON document. For example, for US voices this is 408 bytes.
+
+1. Run your function app locally. You can then call this using a tool like curl in the same way that you tested your `text-to-timer` HTTP trigger. Make sure to pass your language as a JSON body:
+
+    ```json
+    {
+        "language":"<language>"
+    }
+    ```
+
+    Replace `<language>` with your language, such as `en-GB`, or `zh-CN`.
+
+> 💁 You can find this code in the [code-spoken-response/functions](code-spoken-response/functions) folder.
+
+### Task - retrieve the voice from your Wio Terminal
+
+1. Open the `smart-timer` project in VS Code if it is not already open.
+
+1. Open the `config.h` header file and add the URL for your function app:
+
+    ```cpp
+    const char *GET_VOICES_FUNCTION_URL = "<URL>";
+    ```
+
+    Replace `<URL>` with the URL for the `get-voices` HTTP trigger on your function app. This will be the same as the value for `TEXT_TO_TIMER_FUNCTION_URL`, except with a function name of `get-voices` instead of `text-to-timer`.
+
+1. Create a new file in the `src` folder called `text_to_speech.h`. This will be used to define a class to convert from text to speech.
+
+1. Add the following include directives to the top of the new `text_to_speech.h` file:
+
+    ```cpp
+    #pragma once
+
+    #include <Arduino.h>
+    #include <ArduinoJson.h>
+    #include <HTTPClient.h>
+    #include <Seeed_FS.h>
+    #include <SD/Seeed_SD.h>
+    #include <WiFiClient.h>
+    #include <WiFiClientSecure.h>
+    
+    #include "config.h"
+    #include "speech_to_text.h"
+    ```
+
+1. Add the following code below this to declare the `TextToSpeech` class, along with an instance that can be used in the rest of the application:
+
+    ```cpp
+    class TextToSpeech
+    {
+    public:
+    private:
+    };
+    
+    TextToSpeech textToSpeech;
+    ```
+
+1. To call your functions app, you need to declare a WiFi client. Add the following to the `private` section of the class:
+
+    ```cpp
+    WiFiClient _client;
+    ```
+
+1. In the `private` section, add a field for the selected voice:
+
+    ```cpp
+    String _voice;
+    ```
+
+1. To the `public` section, add an `init` function that will get the first voice:
+
+    ```cpp
+    void init()
+    {
+    }
+    ```
+
+1. To get the voices, a JSON document needs to be sent to the function app with the language. Add the following code to the `init` function to create this JSON document:
+
+    ```cpp
+    DynamicJsonDocument doc(1024);
+    doc["language"] = LANGUAGE;
+
+    String body;
+    serializeJson(doc, body);
+    ```
+
+1. Next create an `HTTPClient`, then use it to call the functions app to get the voices, posting the JSON document:
+
+    ```cpp
+    HTTPClient httpClient;
+    httpClient.begin(_client, GET_VOICES_FUNCTION_URL);
+
+    int httpResponseCode = httpClient.POST(body);
+    ```
+
+1. Below this add code to check the response code, and if it is 200 (success), then extract the list of voices, retrieving the first one from the list:
+
+    ```cpp
+    if (httpResponseCode == 200)
+    {
+        String result = httpClient.getString();
+        Serial.println(result);
+
+        DynamicJsonDocument doc(1024);
+        deserializeJson(doc, result.c_str());
+
+        JsonArray obj = doc.as<JsonArray>();
+        _voice = obj[0].as<String>();
+
+        Serial.print("Using voice ");
+        Serial.println(_voice);
+    }
+    else
+    {
+        Serial.print("Failed to get voices - error ");
+        Serial.println(httpResponseCode);
+    }
+    ```
+
+1. After this, end the HTTP client connection:
+
+    ```cpp
+    httpClient.end();
+    ```
+
+1. Open the `main.cpp` file, and add the following include directive at the top to include this new header file:
+
+    ```cpp
+    #include "text_to_speech.h"
+    ```
+
+1. In the `setup` function, underneath the call to `speechToText.init();`, add the following to initialize the `TextToSpeech` class:
+
+    ```cpp
+    textToSpeech.init();
+    ```
+
+1. Build this code, upload it to your Wio Terminal and test it out through the serial monitor. Make sure your function app is running.
+
+    You will see the list of available voices returned from the function app, along with the selected voice.
+
+    ```output
+    --- Available filters and text transformations: colorize, debug, default, direct, hexlify, log2file, nocontrol, printable, send_on_enter, time
+    --- More details at http://bit.ly/pio-monitor-filters
+    --- Miniterm on /dev/cu.usbmodem1101  9600,8,N,1 ---
+    --- Quit: Ctrl+C | Menu: Ctrl+T | Help: Ctrl+T followed by Ctrl+H ---
+    Connecting to WiFi..
+    Connected!
+    Got access token.
+    ["en-US-JennyNeural", "en-US-JennyMultilingualNeural", "en-US-GuyNeural", "en-US-AriaNeural", "en-US-AmberNeural", "en-US-AnaNeural", "en-US-AshleyNeural", "en-US-BrandonNeural", "en-US-ChristopherNeural", "en-US-CoraNeural", "en-US-ElizabethNeural", "en-US-EricNeural", "en-US-JacobNeural", "en-US-MichelleNeural", "en-US-MonicaNeural", "en-US-AriaRUS", "en-US-BenjaminRUS", "en-US-GuyRUS", "en-US-ZiraRUS"]
+    Using voice en-US-JennyNeural
+    Ready.
+    ```
+
+## Convert text to speech
+
+Once you have a voice to use, it can be used to convert text to speech. The same memory limitations with voices also apply when converting speech to text, so you will need to write the speech to an SD card ready to be played over the ReSpeaker.
+
+> 💁 In earlier lessons in this project you used flash memory to store speech captured from the microphone. This lesson uses an SD card as is it easier to play audio from it using the Seeed audio libraries.
+
+There is also another limitation to consider, the available audio data from the speech service, and the formats that the Wio Terminal supports. Unlike full computers, audio libraries for microcontrollers can be very limited in the audio formats they support. For example, the Seeed Arduino Audio library that can play sound over the ReSpeaker only supports audio at a 44.1KHz sample rate. The Azure speech services can provide audio in a number of formats, but none of them use this sample rate, they only provide 8KHz, 16KHz, 24KHz and 48KHz. This means the audio needs to be re-sampled to 44.1KHz, something that would need more resources that the Wio Terminal has, especially memory.
+
+When needing to manipulate data like this, it is often better to use serverless code, especially if the data is sourced via a web call. The Wio Terminal can call a serverless function, passing in the text to convert, and the serverless function can both call the speech service to convert text to speech, as well as re-sample the audio to the required sample rate. It can then return the audio in the form the Wio Terminal needs to be stored on the SD card and played over the ReSpeaker.
+
+### Task - create a serverless function to convert text to speech
+
+1. Open your `smart-timer-trigger` project in VS Code, and open the terminal ensuring the virtual environment is activated. If not, kill and re-create the terminal.
+
+1. Add a new HTTP trigger to this app called `text-to-speech` using the following command from inside the VS Code terminal in the root folder of the functions app project:
+
+    ```sh
+    func new --name text-to-speech --template "HTTP trigger"
+    ```
+
+    This will create an HTTP trigger called `text-to-speech`.
+
+1. The [librosa](https://librosa.org) Pip package has functions to re-sample audio, so add this to the `requirements.txt` file:
+
+    ```sh
+    librosa
+    ```
+
+    Once this has been added, install the Pip packages using the following command from the VS Code terminal:
+
+    ```sh
+    pip install -r requirements.txt
+    ```
+
+    > ⚠️ If you are using Linux, including Raspberry Pi OS, you may need to install `libsndfile` with the following command:
+    >
+    > ```sh
+    > sudo apt update
+    > sudo apt install libsndfile1-dev
+    > ```
+
+1. To convert text to speech, you cannot use the speech API key directly, instead you need to request an access token, using the API key to authenticate the access token request. Open the `__init__.py` file from the `text-to-speech` folder and replace all the code in it with the following:
+
+    ```python
+    import io
+    import os
+    import requests
+    
+    import librosa
+    import soundfile as sf
+    import azure.functions as func
+    
+    location = os.environ['SPEECH_LOCATION']
+    speech_key = os.environ['SPEECH_KEY']
+    
+    def get_access_token():
+        headers = {
+            'Ocp-Apim-Subscription-Key': speech_key
+        }
+    
+        token_endpoint = f'https://{location}.api.cognitive.microsoft.com/sts/v1.0/issuetoken'
+        response = requests.post(token_endpoint, headers=headers)
+        return str(response.text)
+    ```
+
+    This defines constants for the location and speech key that will be read from the settings. It then defines the `get_access_token` function that will retrieve an access token for the speech service.
+
+1. Below this code, add the following:
+
+    ```python
+    playback_format = 'riff-48khz-16bit-mono-pcm'
+
+    def main(req: func.HttpRequest) -> func.HttpResponse:
+        req_body = req.get_json()
+        language = req_body['language']
+        voice = req_body['voice']
+        text = req_body['text']
+    
+        url = f'https://{location}.tts.speech.microsoft.com/cognitiveservices/v1'
+    
+        headers = {
+            'Authorization': 'Bearer ' + get_access_token(),
+            'Content-Type': 'application/ssml+xml',
+            'X-Microsoft-OutputFormat': playback_format
+        }
+    
+        ssml =  f'<speak version=\'1.0\' xml:lang=\'{language}\'>'
+        ssml += f'<voice xml:lang=\'{language}\' name=\'{voice}\'>'
+        ssml += text
+        ssml += '</voice>'
+        ssml += '</speak>'
+    
+        response = requests.post(url, headers=headers, data=ssml.encode('utf-8'))
+    
+        raw_audio, sample_rate = librosa.load(io.BytesIO(response.content), sr=48000)
+        resampled = librosa.resample(raw_audio, sample_rate, 44100)
+        
+        output_buffer = io.BytesIO()
+        sf.write(output_buffer, resampled, 44100, 'PCM_16', format='wav')
+        output_buffer.seek(0)
+    
+        return func.HttpResponse(output_buffer.read(), status_code=200)
+    ```
+
+    This defines the HTTP trigger that converts the text to speech. It extracts the text to convert, the language and the voice from the JSON body set to the request, builds some SSML to request the speech, then calls the relevant REST API authenticating using the access token. This REST API call returns the audio encoded as 16-bit, 48KHz mono WAV file, defined by the value of `playback_format`, which is sent to the REST API call.
+
+    This is then re-sampled by `librosa` from a sample rate of 48KHz to a sample rate of 44.1KHz, then this audio is saved to a binary buffer that is then returned.
+
+1. Run your function app locally, or deploy it to the cloud. You can then call this using a tool like curl in the same way that you tested your `text-to-timer` HTTP trigger. Make sure to pass the language, voice and text as the JSON body:
+
+    ```json
+    {
+        "language": "<language>",
+        "voice": "<voice>",
+        "text": "<text>"
+    }
+    ```
+
+    Replace `<language>` with your language, such as `en-GB`, or `zh-CN`. Replace `<voice>` with the voice you want to use. Replace `<text>` with the text you want to convert to speech. You can save the output to a file and play it with any audio player that can play WAV files.
+
+    For example, to convert "Hello" to speech using US English with the Jenny Neural voice, with the function app running locally, you can use the following curl command:
+
+    ```sh
+    curl -X GET 'http://localhost:7071/api/text-to-speech' \
+         -H 'Content-Type: application/json' \
+         -o hello.wav \
+         -d '{
+           "language":"en-US",
+           "voice": "en-US-JennyNeural",
+           "text": "Hello"
+         }'
+    ```
+
+    This will save the audio to `hello.wav` in the current directory.
+
+> 💁 You can find this code in the [code-spoken-response/functions](code-spoken-response/functions) folder.
+
+### Task - retrieve the speech from your Wio Terminal
+
+1. Open the `smart-timer` project in VS Code if it is not already open.
+
+1. Open the `config.h` header file and add the URL for your function app:
+
+    ```cpp
+    const char *TEXT_TO_SPEECH_FUNCTION_URL = "<URL>";
+    ```
+
+    Replace `<URL>` with the URL for the `text-to-speech` HTTP trigger on your function app. This will be the same as the value for `TEXT_TO_TIMER_FUNCTION_URL`, except with a function name of `text-to-speech` instead of `text-to-timer`.
+
+1. Open the `text_to_speech.h` header file, and add the following method to the `public` section of the `TextToSpeech` class:
+
+    ```cpp
+    void convertTextToSpeech(String text)
+    {
+    }
+    ```
+
+1. To the `convertTextToSpeech` method, add the following code to create the JSON to send to the function app:
+
+    ```cpp
+    DynamicJsonDocument doc(1024);
+    doc["language"] = LANGUAGE;
+    doc["voice"] = _voice;
+    doc["text"] = text;
+
+    String body;
+    serializeJson(doc, body);
+    ```
+
+    This writes the language, voice and text to the JSON document, then serializes it to a string.
+
+1. Below this, add the following code to call the function app:
+
+    ```cpp
+    HTTPClient httpClient;
+    httpClient.begin(_client, TEXT_TO_SPEECH_FUNCTION_URL);
+
+    int httpResponseCode = httpClient.POST(body);
+    ```
+
+    This creates an HTTPClient, then makes a POST request using the JSON document to the text to speech HTTP trigger.
+
+1. If the call works, the raw binary data returned from the function app call can be streamed to a file on the SD card. Add the following code to do this:
+
+    ```cpp
+    if (httpResponseCode == 200)
+    {            
+        File wav_file = SD.open("SPEECH.WAV", FILE_WRITE);
+        httpClient.writeToStream(&wav_file);
+        wav_file.close();
+    }
+    else
+    {
+        Serial.print("Failed to get speech - error ");
+        Serial.println(httpResponseCode);
+    }
+    ```
+
+    This code checks the response, and if it is 200 (success), the binary data is streamed to a file in the root of the SD Card called `SPEECH.WAV`.
+
+1. At the end of this method, close the HTTP connection:
+
+    ```cpp
+    httpClient.end();
+    ```
+
+1. The text to be spoken can now be converted to audio. In the `main.cpp` file, add the following line to the end of the `say` function to convert the text to say into audio:
+
+    ```cpp
+    textToSpeech.convertTextToSpeech(text);
+    ```
+
+### Task - play audio from your Wio Terminal
+
+**Coming soon**
+
+## Deploying your functions app to the cloud
+
+The reason for running the functions app locally is because the `librosa` Pip package on linux has a dependency on a library that is not installed by default, and will need to be installed before the function app can run. Function apps are serverless - there are no servers you can manage yourself, so no way to install this library up front.
+
+The way to do this is instead to deploy your functions app using a Docker container. This container is deployed by the cloud whenever it needs to spin up a new instance of your function app (such as when the demand exceeds the available resources, or if the function app hasn't been used for a while and is closed down).
+
+You can find the instructions to set up a function app and deploy via Docker in the [create a function on Linux using a custom container documentation on Microsoft Docs](https://docs.microsoft.com/azure/azure-functions/functions-create-function-linux-custom-image?tabs=bash%2Cazurecli&pivots=programming-language-python&WT.mc_id=academic-17441-jabenn).
+
+Once this has been deployed, you can port your Wio Terminal code to access this function:
+
+1. Add the Azure Functions certificate to `config.h`:
+
+    ```cpp
+    const char *FUNCTIONS_CERTIFICATE =
+        "-----BEGIN CERTIFICATE-----\r\n"
+        "MIIFWjCCBEKgAwIBAgIQDxSWXyAgaZlP1ceseIlB4jANBgkqhkiG9w0BAQsFADBa\r\n"
+        "MQswCQYDVQQGEwJJRTESMBAGA1UEChMJQmFsdGltb3JlMRMwEQYDVQQLEwpDeWJl\r\n"
+        "clRydXN0MSIwIAYDVQQDExlCYWx0aW1vcmUgQ3liZXJUcnVzdCBSb290MB4XDTIw\r\n"
+        "MDcyMTIzMDAwMFoXDTI0MTAwODA3MDAwMFowTzELMAkGA1UEBhMCVVMxHjAcBgNV\r\n"
+        "BAoTFU1pY3Jvc29mdCBDb3Jwb3JhdGlvbjEgMB4GA1UEAxMXTWljcm9zb2Z0IFJT\r\n"
+        "QSBUTFMgQ0EgMDEwggIiMA0GCSqGSIb3DQEBAQUAA4ICDwAwggIKAoICAQCqYnfP\r\n"
+        "mmOyBoTzkDb0mfMUUavqlQo7Rgb9EUEf/lsGWMk4bgj8T0RIzTqk970eouKVuL5R\r\n"
+        "IMW/snBjXXgMQ8ApzWRJCZbar879BV8rKpHoAW4uGJssnNABf2n17j9TiFy6BWy+\r\n"
+        "IhVnFILyLNK+W2M3zK9gheiWa2uACKhuvgCca5Vw/OQYErEdG7LBEzFnMzTmJcli\r\n"
+        "W1iCdXby/vI/OxbfqkKD4zJtm45DJvC9Dh+hpzqvLMiK5uo/+aXSJY+SqhoIEpz+\r\n"
+        "rErHw+uAlKuHFtEjSeeku8eR3+Z5ND9BSqc6JtLqb0bjOHPm5dSRrgt4nnil75bj\r\n"
+        "c9j3lWXpBb9PXP9Sp/nPCK+nTQmZwHGjUnqlO9ebAVQD47ZisFonnDAmjrZNVqEX\r\n"
+        "F3p7laEHrFMxttYuD81BdOzxAbL9Rb/8MeFGQjE2Qx65qgVfhH+RsYuuD9dUw/3w\r\n"
+        "ZAhq05yO6nk07AM9c+AbNtRoEcdZcLCHfMDcbkXKNs5DJncCqXAN6LhXVERCw/us\r\n"
+        "G2MmCMLSIx9/kwt8bwhUmitOXc6fpT7SmFvRAtvxg84wUkg4Y/Gx++0j0z6StSeN\r\n"
+        "0EJz150jaHG6WV4HUqaWTb98Tm90IgXAU4AW2GBOlzFPiU5IY9jt+eXC2Q6yC/Zp\r\n"
+        "TL1LAcnL3Qa/OgLrHN0wiw1KFGD51WRPQ0Sh7QIDAQABo4IBJTCCASEwHQYDVR0O\r\n"
+        "BBYEFLV2DDARzseSQk1Mx1wsyKkM6AtkMB8GA1UdIwQYMBaAFOWdWTCCR1jMrPoI\r\n"
+        "VDaGezq1BE3wMA4GA1UdDwEB/wQEAwIBhjAdBgNVHSUEFjAUBggrBgEFBQcDAQYI\r\n"
+        "KwYBBQUHAwIwEgYDVR0TAQH/BAgwBgEB/wIBADA0BggrBgEFBQcBAQQoMCYwJAYI\r\n"
+        "KwYBBQUHMAGGGGh0dHA6Ly9vY3NwLmRpZ2ljZXJ0LmNvbTA6BgNVHR8EMzAxMC+g\r\n"
+        "LaArhilodHRwOi8vY3JsMy5kaWdpY2VydC5jb20vT21uaXJvb3QyMDI1LmNybDAq\r\n"
+        "BgNVHSAEIzAhMAgGBmeBDAECATAIBgZngQwBAgIwCwYJKwYBBAGCNyoBMA0GCSqG\r\n"
+        "SIb3DQEBCwUAA4IBAQCfK76SZ1vae4qt6P+dTQUO7bYNFUHR5hXcA2D59CJWnEj5\r\n"
+        "na7aKzyowKvQupW4yMH9fGNxtsh6iJswRqOOfZYC4/giBO/gNsBvwr8uDW7t1nYo\r\n"
+        "DYGHPpvnpxCM2mYfQFHq576/TmeYu1RZY29C4w8xYBlkAA8mDJfRhMCmehk7cN5F\r\n"
+        "JtyWRj2cZj/hOoI45TYDBChXpOlLZKIYiG1giY16vhCRi6zmPzEwv+tk156N6cGS\r\n"
+        "Vm44jTQ/rs1sa0JSYjzUaYngoFdZC4OfxnIkQvUIA4TOFmPzNPEFdjcZsgbeEz4T\r\n"
+        "cGHTBPK4R28F44qIMCtHRV55VMX53ev6P3hRddJb\r\n"
+        "-----END CERTIFICATE-----\r\n";
+    ```
+
+1. Change all includes of `<WiFiClient.h>` to `<WiFiClientSecure.h>`.
+
+1. Change all `WiFiClient` fields to `WiFiClientSecure`.
+
+1. In every class that has a `WiFiClientSecure` field, add a constructor and set the certificate in that constructor:
+
+    ```cpp
+    _client.setCACert(FUNCTIONS_CERTIFICATE);
+    ```
diff --git a/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/get-voices/__init__.py b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/get-voices/__init__.py
new file mode 100644
index 00000000..44c81900
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/get-voices/__init__.py
@@ -0,0 +1,26 @@
+import json
+import os
+import requests
+
+import azure.functions as func
+
+def main(req: func.HttpRequest) -> func.HttpResponse:
+    location = os.environ['SPEECH_LOCATION']
+    speech_key = os.environ['SPEECH_KEY']
+
+    req_body = req.get_json()
+    language = req_body['language']
+
+    url = f'https://{location}.tts.speech.microsoft.com/cognitiveservices/voices/list'
+
+    headers = {
+        'Ocp-Apim-Subscription-Key': speech_key
+    }
+
+    response = requests.get(url, headers=headers)
+    voices_json = json.loads(response.text)
+
+    voices = filter(lambda x: x['Locale'].lower() == language.lower(), voices_json)
+    voices = map(lambda x: x['ShortName'], voices)
+
+    return func.HttpResponse(json.dumps(list(voices)), status_code=200)
diff --git a/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/get-voices/function.json b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/get-voices/function.json
new file mode 100644
index 00000000..d9019652
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/get-voices/function.json
@@ -0,0 +1,20 @@
+{
+  "scriptFile": "__init__.py",
+  "bindings": [
+    {
+      "authLevel": "function",
+      "type": "httpTrigger",
+      "direction": "in",
+      "name": "req",
+      "methods": [
+        "get",
+        "post"
+      ]
+    },
+    {
+      "type": "http",
+      "direction": "out",
+      "name": "$return"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/host.json b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/host.json
new file mode 100644
index 00000000..291065f8
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/host.json
@@ -0,0 +1,15 @@
+{
+  "version": "2.0",
+  "logging": {
+    "applicationInsights": {
+      "samplingSettings": {
+        "isEnabled": true,
+        "excludedTypes": "Request"
+      }
+    }
+  },
+  "extensionBundle": {
+    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "version": "[2.*, 3.0.0)"
+  }
+}
\ No newline at end of file
diff --git a/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/local.settings.json b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/local.settings.json
new file mode 100644
index 00000000..a88a77ff
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/local.settings.json
@@ -0,0 +1,14 @@
+{
+  "IsEncrypted": false,
+  "Values": {
+    "FUNCTIONS_WORKER_RUNTIME": "python",
+    "AzureWebJobsStorage": "",
+    "LUIS_KEY": "<primary key>",
+    "LUIS_ENDPOINT_URL": "<endpoint url>",
+    "LUIS_APP_ID": "<app id>",
+    "SPEECH_KEY": "<key>",
+    "SPEECH_LOCATION": "<location>",
+    "TRANSLATOR_KEY": "<key>",
+    "TRANSLATOR_LOCATION": "<location>"
+  }
+}
\ No newline at end of file
diff --git a/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/requirements.txt b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/requirements.txt
new file mode 100644
index 00000000..a2596be3
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/requirements.txt
@@ -0,0 +1,5 @@
+# Do not include azure-functions-worker as it may conflict with the Azure Functions platform
+
+azure-functions
+azure-cognitiveservices-language-luis
+librosa
\ No newline at end of file
diff --git a/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/text-to-speech/__init__.py b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/text-to-speech/__init__.py
new file mode 100644
index 00000000..f09404f3
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/text-to-speech/__init__.py
@@ -0,0 +1,52 @@
+import io
+import os
+import requests
+
+import librosa
+import soundfile as sf
+import azure.functions as func
+
+location = os.environ['SPEECH_LOCATION']
+speech_key = os.environ['SPEECH_KEY']
+
+def get_access_token():
+    headers = {
+        'Ocp-Apim-Subscription-Key': speech_key
+    }
+
+    token_endpoint = f'https://{location}.api.cognitive.microsoft.com/sts/v1.0/issuetoken'
+    response = requests.post(token_endpoint, headers=headers)
+    return str(response.text)
+
+playback_format = 'riff-48khz-16bit-mono-pcm'
+
+def main(req: func.HttpRequest) -> func.HttpResponse:
+    req_body = req.get_json()
+    language = req_body['language']
+    voice = req_body['voice']
+    text = req_body['text']
+    
+    url = f'https://{location}.tts.speech.microsoft.com/cognitiveservices/v1'
+
+    headers = {
+        'Authorization': 'Bearer ' + get_access_token(),
+        'Content-Type': 'application/ssml+xml',
+        'X-Microsoft-OutputFormat': playback_format
+    }
+
+    ssml =  f'<speak version=\'1.0\' xml:lang=\'{language}\'>'
+    ssml += f'<voice xml:lang=\'{language}\' name=\'{voice}\'>'
+    ssml += text
+    ssml += '</voice>'
+    ssml += '</speak>'
+
+    response = requests.post(url, headers=headers, data=ssml.encode('utf-8'))
+
+    raw_audio, sample_rate = librosa.load(io.BytesIO(response.content), sr=48000)
+    resampled = librosa.resample(raw_audio, sample_rate, 44100)
+    
+    output_buffer = io.BytesIO()
+    sf.write(output_buffer, resampled, 44100, 'PCM_16', format='wav')
+    output_buffer.seek(0)
+
+    return func.HttpResponse(output_buffer.read(), status_code=200)
diff --git a/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/text-to-speech/function.json b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/text-to-speech/function.json
new file mode 100644
index 00000000..d9019652
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/text-to-speech/function.json
@@ -0,0 +1,20 @@
+{
+  "scriptFile": "__init__.py",
+  "bindings": [
+    {
+      "authLevel": "function",
+      "type": "httpTrigger",
+      "direction": "in",
+      "name": "req",
+      "methods": [
+        "get",
+        "post"
+      ]
+    },
+    {
+      "type": "http",
+      "direction": "out",
+      "name": "$return"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/text-to-timer/__init__.py b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/text-to-timer/__init__.py
new file mode 100644
index 00000000..d15d6e68
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/text-to-timer/__init__.py
@@ -0,0 +1,46 @@
+import logging
+
+import azure.functions as func
+import json
+import os
+from azure.cognitiveservices.language.luis.runtime import LUISRuntimeClient
+from msrest.authentication import CognitiveServicesCredentials
+
+
+def main(req: func.HttpRequest) -> func.HttpResponse:
+    luis_key = os.environ['LUIS_KEY']
+    endpoint_url = os.environ['LUIS_ENDPOINT_URL']
+    app_id = os.environ['LUIS_APP_ID']
+    
+    credentials = CognitiveServicesCredentials(luis_key)
+    client = LUISRuntimeClient(endpoint=endpoint_url, credentials=credentials)
+
+    req_body = req.get_json()
+    text = req_body['text']
+    logging.info(f'Request - {text}')
+    prediction_request = { 'query' : text }
+
+    prediction_response = client.prediction.get_slot_prediction(app_id, 'Staging', prediction_request)
+
+    if prediction_response.prediction.top_intent == 'set timer':
+        numbers = prediction_response.prediction.entities['number']
+        time_units = prediction_response.prediction.entities['time unit']
+        total_seconds = 0
+
+        for i in range(0, len(numbers)):
+            number = numbers[i]
+            time_unit = time_units[i][0]
+            
+            if time_unit == 'minute':
+                total_seconds += number * 60
+            else:
+                total_seconds += number
+
+        logging.info(f'Timer required for {total_seconds} seconds')
+    
+        payload = {
+            'seconds': total_seconds
+        }
+        return func.HttpResponse(json.dumps(payload), status_code=200)
+    
+    return func.HttpResponse(status_code=404)
\ No newline at end of file
diff --git a/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/text-to-timer/function.json b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/text-to-timer/function.json
new file mode 100644
index 00000000..d9019652
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/text-to-timer/function.json
@@ -0,0 +1,20 @@
+{
+  "scriptFile": "__init__.py",
+  "bindings": [
+    {
+      "authLevel": "function",
+      "type": "httpTrigger",
+      "direction": "in",
+      "name": "req",
+      "methods": [
+        "get",
+        "post"
+      ]
+    },
+    {
+      "type": "http",
+      "direction": "out",
+      "name": "$return"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/translate-text/__init__.py b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/translate-text/__init__.py
new file mode 100644
index 00000000..850200a6
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/translate-text/__init__.py
@@ -0,0 +1,36 @@
+import logging
+import os
+import requests
+
+import azure.functions as func
+
+location = os.environ['TRANSLATOR_LOCATION']
+translator_key = os.environ['TRANSLATOR_KEY']
+
+def main(req: func.HttpRequest) -> func.HttpResponse:
+    req_body = req.get_json()
+    from_language = req_body['from_language']
+    to_language = req_body['to_language']
+    text = req_body['text']
+    
+    logging.info(f'Translating {text} from {from_language} to {to_language}')
+
+    url = f'https://api.cognitive.microsofttranslator.com/translate?api-version=3.0'
+
+    headers = {
+        'Ocp-Apim-Subscription-Key': translator_key,
+        'Ocp-Apim-Subscription-Region': location,
+        'Content-type': 'application/json'
+    }
+
+    params = {
+        'from': from_language,
+        'to': to_language
+    }
+
+    body = [{
+        'text' : text
+    }]
+    
+    response = requests.post(url, headers=headers, params=params, json=body)
+    return func.HttpResponse(response.json()[0]['translations'][0]['text'])
diff --git a/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/translate-text/__pycache__/__init__.cpython-39.pyc b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/translate-text/__pycache__/__init__.cpython-39.pyc
new file mode 100644
index 00000000..1e106428
Binary files /dev/null and b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/translate-text/__pycache__/__init__.cpython-39.pyc differ
diff --git a/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/translate-text/function.json b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/translate-text/function.json
new file mode 100644
index 00000000..d9019652
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/functions/smart-timer-trigger/translate-text/function.json
@@ -0,0 +1,20 @@
+{
+  "scriptFile": "__init__.py",
+  "bindings": [
+    {
+      "authLevel": "function",
+      "type": "httpTrigger",
+      "direction": "in",
+      "name": "req",
+      "methods": [
+        "get",
+        "post"
+      ]
+    },
+    {
+      "type": "http",
+      "direction": "out",
+      "name": "$return"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/include/README b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/include/README
new file mode 100644
index 00000000..194dcd43
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/include/README
@@ -0,0 +1,39 @@
+
+This directory is intended for project header files.
+
+A header file is a file containing C declarations and macro definitions
+to be shared between several project source files. You request the use of a
+header file in your project source file (C, C++, etc) located in `src` folder
+by including it, with the C preprocessing directive `#include'.
+
+```src/main.c
+
+#include "header.h"
+
+int main (void)
+{
+ ...
+}
+```
+
+Including a header file produces the same results as copying the header file
+into each source file that needs it. Such copying would be time-consuming
+and error-prone. With a header file, the related declarations appear
+in only one place. If they need to be changed, they can be changed in one
+place, and programs that include the header file will automatically use the
+new version when next recompiled. The header file eliminates the labor of
+finding and changing all the copies as well as the risk that a failure to
+find one copy will result in inconsistencies within a program.
+
+In C, the usual convention is to give header files names that end with `.h'.
+It is most portable to use only letters, digits, dashes, and underscores in
+header file names, and at most one dot.
+
+Read more about using header files in official GCC documentation:
+
+* Include Syntax
+* Include Operation
+* Once-Only Headers
+* Computed Includes
+
+https://gcc.gnu.org/onlinedocs/cpp/Header-Files.html
diff --git a/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/lib/README b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/lib/README
new file mode 100644
index 00000000..6debab1e
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/lib/README
@@ -0,0 +1,46 @@
+
+This directory is intended for project specific (private) libraries.
+PlatformIO will compile them to static libraries and link into executable file.
+
+The source code of each library should be placed in a an own separate directory
+("lib/your_library_name/[here are source files]").
+
+For example, see a structure of the following two libraries `Foo` and `Bar`:
+
+|--lib
+|  |
+|  |--Bar
+|  |  |--docs
+|  |  |--examples
+|  |  |--src
+|  |     |- Bar.c
+|  |     |- Bar.h
+|  |  |- library.json (optional, custom build options, etc) https://docs.platformio.org/page/librarymanager/config.html
+|  |
+|  |--Foo
+|  |  |- Foo.c
+|  |  |- Foo.h
+|  |
+|  |- README --> THIS FILE
+|
+|- platformio.ini
+|--src
+   |- main.c
+
+and a contents of `src/main.c`:
+```
+#include <Foo.h>
+#include <Bar.h>
+
+int main (void)
+{
+  ...
+}
+
+```
+
+PlatformIO Library Dependency Finder will find automatically dependent
+libraries scanning project source files.
+
+More information about PlatformIO Library Dependency Finder
+- https://docs.platformio.org/page/librarymanager/ldf.html
diff --git a/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/platformio.ini b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/platformio.ini
new file mode 100644
index 00000000..8836ab42
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/platformio.ini
@@ -0,0 +1,23 @@
+; PlatformIO Project Configuration File
+;
+;   Build options: build flags, source filter
+;   Upload options: custom upload port, speed and extra flags
+;   Library options: dependencies, extra library storages
+;   Advanced options: extra scripting
+;
+; Please visit documentation for the other options and examples
+; https://docs.platformio.org/page/projectconf.html
+
+[env:seeed_wio_terminal]
+platform = atmelsam
+board = seeed_wio_terminal
+framework = arduino
+lib_deps =
+    seeed-studio/Seeed Arduino FS @ 2.1.1
+    seeed-studio/Seeed Arduino SFUD @ 2.0.2
+    seeed-studio/Seeed Arduino rpcWiFi @ 1.0.5
+    seeed-studio/Seeed Arduino rpcUnified @ 2.1.3
+    seeed-studio/Seeed_Arduino_mbedtls @ 3.0.1
+    seeed-studio/Seeed Arduino RTC @ 2.0.0
+    bblanchon/ArduinoJson @ 6.17.3
+    contrem/arduino-timer @ 2.3.0
diff --git a/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/config.h b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/config.h
new file mode 100644
index 00000000..9822eb2e
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/config.h
@@ -0,0 +1,95 @@
+#pragma once
+
+#define RATE 16000
+#define SAMPLE_LENGTH_SECONDS 4
+#define SAMPLES RATE * SAMPLE_LENGTH_SECONDS
+#define BUFFER_SIZE (SAMPLES * 2) + 44
+#define ADC_BUF_LEN 1600
+
+const char *SSID = "<SSID>";
+const char *PASSWORD = "<PASSWORD>";
+
+const char *SPEECH_API_KEY = "<API_KEY>";
+const char *SPEECH_LOCATION = "<LOCATION>";
+const char *LANGUAGE = "<LANGUAGE>";
+const char *SERVER_LANGUAGE = "<LANGUAGE>";
+
+const char *TOKEN_URL = "https://%s.api.cognitive.microsoft.com/sts/v1.0/issuetoken";
+const char *SPEECH_URL = "https://%s.stt.speech.microsoft.com/speech/recognition/conversation/cognitiveservices/v1?language=%s";
+
+const char *TEXT_TO_TIMER_FUNCTION_URL = "http://<IP_ADDRESS>:7071/api/text-to-timer";
+const char *GET_VOICES_FUNCTION_URL = "http://<IP_ADDRESS>:7071/api/get-voices";
+const char *TEXT_TO_SPEECH_FUNCTION_URL = "http://<IP_ADDRESS>:7071/api/text-to-speech";
+const char *TRANSLATE_FUNCTION_URL = "http://<IP_ADDRESS>:7071/api/translate-text";
+
+const char *TOKEN_CERTIFICATE =
+    "-----BEGIN CERTIFICATE-----\r\n"
+    "MIIF8zCCBNugAwIBAgIQAueRcfuAIek/4tmDg0xQwDANBgkqhkiG9w0BAQwFADBh\r\n"
+    "MQswCQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3\r\n"
+    "d3cuZGlnaWNlcnQuY29tMSAwHgYDVQQDExdEaWdpQ2VydCBHbG9iYWwgUm9vdCBH\r\n"
+    "MjAeFw0yMDA3MjkxMjMwMDBaFw0yNDA2MjcyMzU5NTlaMFkxCzAJBgNVBAYTAlVT\r\n"
+    "MR4wHAYDVQQKExVNaWNyb3NvZnQgQ29ycG9yYXRpb24xKjAoBgNVBAMTIU1pY3Jv\r\n"
+    "c29mdCBBenVyZSBUTFMgSXNzdWluZyBDQSAwNjCCAiIwDQYJKoZIhvcNAQEBBQAD\r\n"
+    "ggIPADCCAgoCggIBALVGARl56bx3KBUSGuPc4H5uoNFkFH4e7pvTCxRi4j/+z+Xb\r\n"
+    "wjEz+5CipDOqjx9/jWjskL5dk7PaQkzItidsAAnDCW1leZBOIi68Lff1bjTeZgMY\r\n"
+    "iwdRd3Y39b/lcGpiuP2d23W95YHkMMT8IlWosYIX0f4kYb62rphyfnAjYb/4Od99\r\n"
+    "ThnhlAxGtfvSbXcBVIKCYfZgqRvV+5lReUnd1aNjRYVzPOoifgSx2fRyy1+pO1Uz\r\n"
+    "aMMNnIOE71bVYW0A1hr19w7kOb0KkJXoALTDDj1ukUEDqQuBfBxReL5mXiu1O7WG\r\n"
+    "0vltg0VZ/SZzctBsdBlx1BkmWYBW261KZgBivrql5ELTKKd8qgtHcLQA5fl6JB0Q\r\n"
+    "gs5XDaWehN86Gps5JW8ArjGtjcWAIP+X8CQaWfaCnuRm6Bk/03PQWhgdi84qwA0s\r\n"
+    "sRfFJwHUPTNSnE8EiGVk2frt0u8PG1pwSQsFuNJfcYIHEv1vOzP7uEOuDydsmCjh\r\n"
+    "lxuoK2n5/2aVR3BMTu+p4+gl8alXoBycyLmj3J/PUgqD8SL5fTCUegGsdia/Sa60\r\n"
+    "N2oV7vQ17wjMN+LXa2rjj/b4ZlZgXVojDmAjDwIRdDUujQu0RVsJqFLMzSIHpp2C\r\n"
+    "Zp7mIoLrySay2YYBu7SiNwL95X6He2kS8eefBBHjzwW/9FxGqry57i71c2cDAgMB\r\n"
+    "AAGjggGtMIIBqTAdBgNVHQ4EFgQU1cFnOsKjnfR3UltZEjgp5lVou6UwHwYDVR0j\r\n"
+    "BBgwFoAUTiJUIBiV5uNu5g/6+rkS7QYXjzkwDgYDVR0PAQH/BAQDAgGGMB0GA1Ud\r\n"
+    "JQQWMBQGCCsGAQUFBwMBBggrBgEFBQcDAjASBgNVHRMBAf8ECDAGAQH/AgEAMHYG\r\n"
+    "CCsGAQUFBwEBBGowaDAkBggrBgEFBQcwAYYYaHR0cDovL29jc3AuZGlnaWNlcnQu\r\n"
+    "Y29tMEAGCCsGAQUFBzAChjRodHRwOi8vY2FjZXJ0cy5kaWdpY2VydC5jb20vRGln\r\n"
+    "aUNlcnRHbG9iYWxSb290RzIuY3J0MHsGA1UdHwR0MHIwN6A1oDOGMWh0dHA6Ly9j\r\n"
+    "cmwzLmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5jcmwwN6A1oDOG\r\n"
+    "MWh0dHA6Ly9jcmw0LmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5j\r\n"
+    "cmwwHQYDVR0gBBYwFDAIBgZngQwBAgEwCAYGZ4EMAQICMBAGCSsGAQQBgjcVAQQD\r\n"
+    "AgEAMA0GCSqGSIb3DQEBDAUAA4IBAQB2oWc93fB8esci/8esixj++N22meiGDjgF\r\n"
+    "+rA2LUK5IOQOgcUSTGKSqF9lYfAxPjrqPjDCUPHCURv+26ad5P/BYtXtbmtxJWu+\r\n"
+    "cS5BhMDPPeG3oPZwXRHBJFAkY4O4AF7RIAAUW6EzDflUoDHKv83zOiPfYGcpHc9s\r\n"
+    "kxAInCedk7QSgXvMARjjOqdakor21DTmNIUotxo8kHv5hwRlGhBJwps6fEVi1Bt0\r\n"
+    "trpM/3wYxlr473WSPUFZPgP1j519kLpWOJ8z09wxay+Br29irPcBYv0GMXlHqThy\r\n"
+    "8y4m/HyTQeI2IMvMrQnwqPpY+rLIXyviI2vLoI+4xKE4Rn38ZZ8m\r\n"
+    "-----END CERTIFICATE-----\r\n";
+
+const char *SPEECH_CERTIFICATE =
+    "-----BEGIN CERTIFICATE-----\r\n"
+    "MIIF8zCCBNugAwIBAgIQCq+mxcpjxFFB6jvh98dTFzANBgkqhkiG9w0BAQwFADBh\r\n"
+    "MQswCQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3\r\n"
+    "d3cuZGlnaWNlcnQuY29tMSAwHgYDVQQDExdEaWdpQ2VydCBHbG9iYWwgUm9vdCBH\r\n"
+    "MjAeFw0yMDA3MjkxMjMwMDBaFw0yNDA2MjcyMzU5NTlaMFkxCzAJBgNVBAYTAlVT\r\n"
+    "MR4wHAYDVQQKExVNaWNyb3NvZnQgQ29ycG9yYXRpb24xKjAoBgNVBAMTIU1pY3Jv\r\n"
+    "c29mdCBBenVyZSBUTFMgSXNzdWluZyBDQSAwMTCCAiIwDQYJKoZIhvcNAQEBBQAD\r\n"
+    "ggIPADCCAgoCggIBAMedcDrkXufP7pxVm1FHLDNA9IjwHaMoaY8arqqZ4Gff4xyr\r\n"
+    "RygnavXL7g12MPAx8Q6Dd9hfBzrfWxkF0Br2wIvlvkzW01naNVSkHp+OS3hL3W6n\r\n"
+    "l/jYvZnVeJXjtsKYcXIf/6WtspcF5awlQ9LZJcjwaH7KoZuK+THpXCMtzD8XNVdm\r\n"
+    "GW/JI0C/7U/E7evXn9XDio8SYkGSM63aLO5BtLCv092+1d4GGBSQYolRq+7Pd1kR\r\n"
+    "EkWBPm0ywZ2Vb8GIS5DLrjelEkBnKCyy3B0yQud9dpVsiUeE7F5sY8Me96WVxQcb\r\n"
+    "OyYdEY/j/9UpDlOG+vA+YgOvBhkKEjiqygVpP8EZoMMijephzg43b5Qi9r5UrvYo\r\n"
+    "o19oR/8pf4HJNDPF0/FJwFVMW8PmCBLGstin3NE1+NeWTkGt0TzpHjgKyfaDP2tO\r\n"
+    "4bCk1G7pP2kDFT7SYfc8xbgCkFQ2UCEXsaH/f5YmpLn4YPiNFCeeIida7xnfTvc4\r\n"
+    "7IxyVccHHq1FzGygOqemrxEETKh8hvDR6eBdrBwmCHVgZrnAqnn93JtGyPLi6+cj\r\n"
+    "WGVGtMZHwzVvX1HvSFG771sskcEjJxiQNQDQRWHEh3NxvNb7kFlAXnVdRkkvhjpR\r\n"
+    "GchFhTAzqmwltdWhWDEyCMKC2x/mSZvZtlZGY+g37Y72qHzidwtyW7rBetZJAgMB\r\n"
+    "AAGjggGtMIIBqTAdBgNVHQ4EFgQUDyBd16FXlduSzyvQx8J3BM5ygHYwHwYDVR0j\r\n"
+    "BBgwFoAUTiJUIBiV5uNu5g/6+rkS7QYXjzkwDgYDVR0PAQH/BAQDAgGGMB0GA1Ud\r\n"
+    "JQQWMBQGCCsGAQUFBwMBBggrBgEFBQcDAjASBgNVHRMBAf8ECDAGAQH/AgEAMHYG\r\n"
+    "CCsGAQUFBwEBBGowaDAkBggrBgEFBQcwAYYYaHR0cDovL29jc3AuZGlnaWNlcnQu\r\n"
+    "Y29tMEAGCCsGAQUFBzAChjRodHRwOi8vY2FjZXJ0cy5kaWdpY2VydC5jb20vRGln\r\n"
+    "aUNlcnRHbG9iYWxSb290RzIuY3J0MHsGA1UdHwR0MHIwN6A1oDOGMWh0dHA6Ly9j\r\n"
+    "cmwzLmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5jcmwwN6A1oDOG\r\n"
+    "MWh0dHA6Ly9jcmw0LmRpZ2ljZXJ0LmNvbS9EaWdpQ2VydEdsb2JhbFJvb3RHMi5j\r\n"
+    "cmwwHQYDVR0gBBYwFDAIBgZngQwBAgEwCAYGZ4EMAQICMBAGCSsGAQQBgjcVAQQD\r\n"
+    "AgEAMA0GCSqGSIb3DQEBDAUAA4IBAQAlFvNh7QgXVLAZSsNR2XRmIn9iS8OHFCBA\r\n"
+    "WxKJoi8YYQafpMTkMqeuzoL3HWb1pYEipsDkhiMnrpfeYZEA7Lz7yqEEtfgHcEBs\r\n"
+    "K9KcStQGGZRfmWU07hPXHnFz+5gTXqzCE2PBMlRgVUYJiA25mJPXfB00gDvGhtYa\r\n"
+    "+mENwM9Bq1B9YYLyLjRtUz8cyGsdyTIG/bBM/Q9jcV8JGqMU/UjAdh1pFyTnnHEl\r\n"
+    "Y59Npi7F87ZqYYJEHJM2LGD+le8VsHjgeWX2CJQko7klXvcizuZvUEDTjHaQcs2J\r\n"
+    "+kPgfyMIOY1DMJ21NxOJ2xPRC/wAh/hzSBRVtoAnyuxtkZ4VjIOh\r\n"
+    "-----END CERTIFICATE-----\r\n";
diff --git a/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/flash_stream.h b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/flash_stream.h
new file mode 100644
index 00000000..b841f1d0
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/flash_stream.h
@@ -0,0 +1,69 @@
+#pragma once
+
+#include <Arduino.h>
+#include <HTTPClient.h>
+#include <sfud.h>
+
+#include "config.h"
+
+class FlashStream : public Stream
+{
+public:
+    FlashStream()
+    {
+        _pos = 0;
+        _flash_address = 0;
+        _flash = sfud_get_device_table() + 0;
+        
+        populateBuffer();
+    }
+
+    virtual size_t write(uint8_t val)
+    {
+        return 0;
+    }
+
+    virtual int available()
+    {
+        int remaining = BUFFER_SIZE - ((_flash_address - HTTP_TCP_BUFFER_SIZE) + _pos);
+        int bytes_available = min(HTTP_TCP_BUFFER_SIZE, remaining);
+
+        if (bytes_available == 0)
+        {
+            bytes_available = -1;
+        }
+
+        return bytes_available;
+    }
+
+    virtual int read()
+    {
+        int retVal = _buffer[_pos++];
+
+        if (_pos == HTTP_TCP_BUFFER_SIZE)
+        {
+            populateBuffer();
+        }
+
+        return retVal;
+    }
+
+    virtual int peek()
+    {
+        return _buffer[_pos];
+    }
+
+private:
+    void populateBuffer()
+    {
+        sfud_read(_flash, _flash_address, HTTP_TCP_BUFFER_SIZE, _buffer);
+        _flash_address += HTTP_TCP_BUFFER_SIZE;
+        _pos = 0;
+    }
+    
+    size_t _pos;
+    size_t _flash_address;
+    const sfud_flash *_flash;
+
+    byte _buffer[HTTP_TCP_BUFFER_SIZE];
+};
diff --git a/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/flash_writer.h b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/flash_writer.h
new file mode 100644
index 00000000..87fdff29
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/flash_writer.h
@@ -0,0 +1,60 @@
+#pragma once
+
+#include <Arduino.h>
+#include <sfud.h>
+
+class FlashWriter
+{
+public:
+    void init()
+    {
+        _flash = sfud_get_device_table() + 0;
+        _sfudBufferSize = _flash->chip.erase_gran;
+        _sfudBuffer = new byte[_sfudBufferSize];
+        _sfudBufferPos = 0;
+        _sfudBufferWritePos = 0;
+    }
+
+    void reset()
+    {
+        _sfudBufferPos = 0;
+        _sfudBufferWritePos = 0;
+    }
+
+    void writeSfudBuffer(byte b)
+    {
+        _sfudBuffer[_sfudBufferPos++] = b;
+        if (_sfudBufferPos == _sfudBufferSize)
+        {
+            sfud_erase_write(_flash, _sfudBufferWritePos, _sfudBufferSize, _sfudBuffer);
+            _sfudBufferWritePos += _sfudBufferSize;
+            _sfudBufferPos = 0;
+        }
+    }
+
+    void flushSfudBuffer()
+    {
+        if (_sfudBufferPos > 0)
+        {
+            sfud_erase_write(_flash, _sfudBufferWritePos, _sfudBufferSize, _sfudBuffer);
+            _sfudBufferWritePos += _sfudBufferSize;
+            _sfudBufferPos = 0;
+        }
+    }
+
+    void writeSfudBuffer(byte *b, size_t len)
+    {
+        for (size_t i = 0; i < len; ++i)
+        {
+            writeSfudBuffer(b[i]);
+        }
+    }
+
+private:
+    byte *_sfudBuffer;
+    size_t _sfudBufferSize;
+    size_t _sfudBufferPos;
+    size_t _sfudBufferWritePos;
+
+    const sfud_flash *_flash;
+};
\ No newline at end of file
diff --git a/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/language_understanding.h b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/language_understanding.h
new file mode 100644
index 00000000..1c8d8653
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/language_understanding.h
@@ -0,0 +1,53 @@
+#pragma once
+
+#include <Arduino.h>
+#include <ArduinoJson.h>
+#include <HTTPClient.h>
+#include <WiFiClient.h>
+
+#include "config.h"
+
+class LanguageUnderstanding
+{
+public:
+    int GetTimerDuration(String text)
+    {
+        DynamicJsonDocument doc(1024);
+        doc["text"] = text;
+
+        String body;
+        serializeJson(doc, body);
+
+        HTTPClient httpClient;
+        httpClient.begin(_client, TEXT_TO_TIMER_FUNCTION_URL);
+
+        int httpResponseCode = httpClient.POST(body);
+
+        int seconds = 0;
+        if (httpResponseCode == 200)
+        {
+            String result = httpClient.getString();
+            Serial.println(result);
+
+            DynamicJsonDocument doc(1024);
+            deserializeJson(doc, result.c_str());
+
+            JsonObject obj = doc.as<JsonObject>();
+            seconds = obj["seconds"].as<int>();
+        }
+        else
+        {
+            Serial.print("Failed to understand text - error ");
+            Serial.println(httpResponseCode);
+        }
+
+        httpClient.end();
+
+        return seconds;
+    }
+
+private:
+    WiFiClient _client;
+};
+
+LanguageUnderstanding languageUnderstanding;
\ No newline at end of file
diff --git a/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/main.cpp b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/main.cpp
new file mode 100644
index 00000000..3d2c6182
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/main.cpp
@@ -0,0 +1,133 @@
+#include <Arduino.h>
+#include <arduino-timer.h>
+#include <rpcWiFi.h>
+#include <sfud.h>
+#include <SPI.h>
+
+#include "config.h"
+#include "language_understanding.h"
+#include "mic.h"
+#include "speech_to_text.h"
+#include "text_to_speech.h"
+#include "text_translator.h"
+
+void connectWiFi()
+{
+    while (WiFi.status() != WL_CONNECTED)
+    {
+        Serial.println("Connecting to WiFi..");
+        WiFi.begin(SSID, PASSWORD);
+        delay(500);
+    }
+
+    Serial.println("Connected!");
+}
+
+void setup()
+{
+    Serial.begin(9600);
+
+    while (!Serial)
+        ; // Wait for Serial to be ready
+
+    delay(1000);
+
+    connectWiFi();
+
+    while (!(sfud_init() == SFUD_SUCCESS))
+        ;
+
+    sfud_qspi_fast_read_enable(sfud_get_device(SFUD_W25Q32_DEVICE_INDEX), 2);
+
+    pinMode(WIO_KEY_C, INPUT_PULLUP);
+
+    mic.init();
+
+    speechToText.init();
+    textToSpeech.init();
+
+    Serial.println("Ready.");
+}
+
+auto timer = timer_create_default();
+
+void say(String text)
+{
+    text = textTranslator.translateText(text, SERVER_LANGUAGE, LANGUAGE);
+    Serial.println(text);
+    textToSpeech.convertTextToSpeech(text);
+}
+
+bool timerExpired(void *announcement)
+{
+    say((char *)announcement);
+    return false;
+}
+
+void processAudio()
+{
+    String text = speechToText.convertSpeechToText();
+    text = textTranslator.translateText(text, LANGUAGE, SERVER_LANGUAGE);
+    Serial.println(text);
+
+    int total_seconds = languageUnderstanding.GetTimerDuration(text);
+    if (total_seconds == 0)
+    {
+        return;
+    }
+
+    int minutes = total_seconds / 60;
+    int seconds = total_seconds % 60;
+
+    String begin_message;
+    if (minutes > 0)
+    {
+        begin_message += minutes;
+        begin_message += " minute ";
+    }
+    if (seconds > 0)
+    {
+        begin_message += seconds;
+        begin_message += " second ";
+    }
+
+    begin_message += "timer started.";
+
+    String end_message("Times up on your ");
+    if (minutes > 0)
+    {
+        end_message += minutes;
+        end_message += " minute ";
+    }
+    if (seconds > 0)
+    {
+        end_message += seconds;
+        end_message += " second ";
+    }
+
+    end_message += "timer.";
+
+    say(begin_message);
+
+    timer.in(total_seconds * 1000, timerExpired, (void *)(end_message.c_str()));
+}
+
+void loop()
+{
+    if (digitalRead(WIO_KEY_C) == LOW && !mic.isRecording())
+    {
+        Serial.println("Starting recording...");
+        mic.startRecording();
+    }
+
+    if (!mic.isRecording() && mic.isRecordingReady())
+    {
+        Serial.println("Finished recording");
+
+        processAudio();
+
+        mic.reset();
+    }
+
+    timer.tick();
+}
diff --git a/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/mic.h b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/mic.h
new file mode 100644
index 00000000..5f0815de
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/mic.h
@@ -0,0 +1,242 @@
+#pragma once
+
+#include <Arduino.h>
+
+#include "config.h"
+#include "flash_writer.h"
+
+class Mic
+{
+public:
+    Mic()
+    {
+        _isRecording = false;
+        _isRecordingReady = false;
+    }
+
+    void startRecording()
+    {
+        _isRecording = true;
+        _isRecordingReady = false;
+    }
+
+    bool isRecording()
+    {
+        return _isRecording;
+    }
+
+    bool isRecordingReady()
+    {
+        return _isRecordingReady;
+    }
+
+    void init()
+    {
+        analogReference(AR_INTERNAL2V23);
+        
+        _writer.init();
+
+        initBufferHeader();
+        configureDmaAdc();
+    }
+
+    void reset()
+    {
+        _isRecordingReady = false;
+        _isRecording = false;
+
+        _writer.reset();
+
+        initBufferHeader();
+    }
+
+    void dmaHandler()
+    {
+        static uint8_t count = 0;
+
+        if (DMAC->Channel[1].CHINTFLAG.bit.SUSP)
+        {
+            DMAC->Channel[1].CHCTRLB.reg = DMAC_CHCTRLB_CMD_RESUME;
+            DMAC->Channel[1].CHINTFLAG.bit.SUSP = 1;
+
+            if (count)
+            {
+                audioCallback(_adc_buf_0, ADC_BUF_LEN);
+            }
+            else
+            {
+                audioCallback(_adc_buf_1, ADC_BUF_LEN);
+            }
+
+            count = (count + 1) % 2;
+        }
+    }
+
+private:
+    volatile bool _isRecording;
+    volatile bool _isRecordingReady;
+    FlashWriter _writer;
+
+typedef struct
+    {
+        uint16_t btctrl;
+        uint16_t btcnt;
+        uint32_t srcaddr;
+        uint32_t dstaddr;
+        uint32_t descaddr;
+    } dmacdescriptor;
+
+    // Globals - DMA and ADC
+    volatile dmacdescriptor _wrb[DMAC_CH_NUM] __attribute__((aligned(16)));
+    dmacdescriptor _descriptor_section[DMAC_CH_NUM] __attribute__((aligned(16)));
+    dmacdescriptor _descriptor __attribute__((aligned(16)));
+
+    void configureDmaAdc()
+    {
+        // Configure DMA to sample from ADC at a regular interval (triggered by timer/counter)
+        DMAC->BASEADDR.reg = (uint32_t)_descriptor_section;                    // Specify the location of the descriptors
+        DMAC->WRBADDR.reg = (uint32_t)_wrb;                                    // Specify the location of the write back descriptors
+        DMAC->CTRL.reg = DMAC_CTRL_DMAENABLE | DMAC_CTRL_LVLEN(0xf);           // Enable the DMAC peripheral
+        DMAC->Channel[1].CHCTRLA.reg = DMAC_CHCTRLA_TRIGSRC(TC5_DMAC_ID_OVF) | // Set DMAC to trigger on TC5 timer overflow
+                                       DMAC_CHCTRLA_TRIGACT_BURST;             // DMAC burst transfer
+
+        _descriptor.descaddr = (uint32_t)&_descriptor_section[1];                    // Set up a circular descriptor
+        _descriptor.srcaddr = (uint32_t)&ADC1->RESULT.reg;                           // Take the result from the ADC0 RESULT register
+        _descriptor.dstaddr = (uint32_t)_adc_buf_0 + sizeof(uint16_t) * ADC_BUF_LEN; // Place it in the adc_buf_0 array
+        _descriptor.btcnt = ADC_BUF_LEN;                                             // Beat count
+        _descriptor.btctrl = DMAC_BTCTRL_BEATSIZE_HWORD |                            // Beat size is HWORD (16-bits)
+                             DMAC_BTCTRL_DSTINC |                                    // Increment the destination address
+                             DMAC_BTCTRL_VALID |                                     // Descriptor is valid
+                             DMAC_BTCTRL_BLOCKACT_SUSPEND;                           // Suspend DMAC channel 0 after block transfer
+        memcpy(&_descriptor_section[0], &_descriptor, sizeof(_descriptor));          // Copy the descriptor to the descriptor section
+
+        _descriptor.descaddr = (uint32_t)&_descriptor_section[0];                    // Set up a circular descriptor
+        _descriptor.srcaddr = (uint32_t)&ADC1->RESULT.reg;                           // Take the result from the ADC0 RESULT register
+        _descriptor.dstaddr = (uint32_t)_adc_buf_1 + sizeof(uint16_t) * ADC_BUF_LEN; // Place it in the adc_buf_1 array
+        _descriptor.btcnt = ADC_BUF_LEN;                                             // Beat count
+        _descriptor.btctrl = DMAC_BTCTRL_BEATSIZE_HWORD |                            // Beat size is HWORD (16-bits)
+                             DMAC_BTCTRL_DSTINC |                                    // Increment the destination address
+                             DMAC_BTCTRL_VALID |                                     // Descriptor is valid
+                             DMAC_BTCTRL_BLOCKACT_SUSPEND;                           // Suspend DMAC channel 0 after block transfer
+        memcpy(&_descriptor_section[1], &_descriptor, sizeof(_descriptor));          // Copy the descriptor to the descriptor section
+
+        // Configure NVIC
+        NVIC_SetPriority(DMAC_1_IRQn, 0); // Set the Nested Vector Interrupt Controller (NVIC) priority for DMAC1 to 0 (highest)
+        NVIC_EnableIRQ(DMAC_1_IRQn);      // Connect DMAC1 to Nested Vector Interrupt Controller (NVIC)
+
+        // Activate the suspend (SUSP) interrupt on DMAC channel 1
+        DMAC->Channel[1].CHINTENSET.reg = DMAC_CHINTENSET_SUSP;
+
+        // Configure ADC
+        ADC1->INPUTCTRL.bit.MUXPOS = ADC_INPUTCTRL_MUXPOS_AIN12_Val; // Set the analog input to ADC0/AIN2 (PB08 - A4 on Metro M4)
+        while (ADC1->SYNCBUSY.bit.INPUTCTRL)
+            ;                              // Wait for synchronization
+        ADC1->SAMPCTRL.bit.SAMPLEN = 0x00; // Set max Sampling Time Length to half divided ADC clock pulse (2.66us)
+        while (ADC1->SYNCBUSY.bit.SAMPCTRL)
+            ;                                         // Wait for synchronization
+        ADC1->CTRLA.reg = ADC_CTRLA_PRESCALER_DIV128; // Divide Clock ADC GCLK by 128 (48MHz/128 = 375kHz)
+        ADC1->CTRLB.reg = ADC_CTRLB_RESSEL_12BIT |    // Set ADC resolution to 12 bits
+                          ADC_CTRLB_FREERUN;          // Set ADC to free run mode
+        while (ADC1->SYNCBUSY.bit.CTRLB)
+            ;                       // Wait for synchronization
+        ADC1->CTRLA.bit.ENABLE = 1; // Enable the ADC
+        while (ADC1->SYNCBUSY.bit.ENABLE)
+            ;                       // Wait for synchronization
+        ADC1->SWTRIG.bit.START = 1; // Initiate a software trigger to start an ADC conversion
+        while (ADC1->SYNCBUSY.bit.SWTRIG)
+            ; // Wait for synchronization
+
+        // Enable DMA channel 1
+        DMAC->Channel[1].CHCTRLA.bit.ENABLE = 1;
+
+        // Configure Timer/Counter 5
+        GCLK->PCHCTRL[TC5_GCLK_ID].reg = GCLK_PCHCTRL_CHEN |     // Enable perhipheral channel for TC5
+                                         GCLK_PCHCTRL_GEN_GCLK1; // Connect generic clock 0 at 48MHz
+
+        TC5->COUNT16.WAVE.reg = TC_WAVE_WAVEGEN_MFRQ; // Set TC5 to Match Frequency (MFRQ) mode
+        TC5->COUNT16.CC[0].reg = 3000 - 1;            // Set the trigger to 16 kHz: (4Mhz / 16000) - 1
+        while (TC5->COUNT16.SYNCBUSY.bit.CC0)
+            ; // Wait for synchronization
+
+        // Start Timer/Counter 5
+        TC5->COUNT16.CTRLA.bit.ENABLE = 1; // Enable the TC5 timer
+        while (TC5->COUNT16.SYNCBUSY.bit.ENABLE)
+            ; // Wait for synchronization
+    }
+
+    uint16_t _adc_buf_0[ADC_BUF_LEN];
+    uint16_t _adc_buf_1[ADC_BUF_LEN];
+
+    // WAV files have a header. This struct defines that header
+    struct wavFileHeader
+    {
+        char riff[4];         /* "RIFF"                                  */
+        long flength;         /* file length in bytes                    */
+        char wave[4];         /* "WAVE"                                  */
+        char fmt[4];          /* "fmt "                                  */
+        long chunk_size;      /* size of FMT chunk in bytes (usually 16) */
+        short format_tag;     /* 1=PCM, 257=Mu-Law, 258=A-Law, 259=ADPCM */
+        short num_chans;      /* 1=mono, 2=stereo                        */
+        long srate;           /* Sampling rate in samples per second     */
+        long bytes_per_sec;   /* bytes per second = srate*bytes_per_samp */
+        short bytes_per_samp; /* 2=16-bit mono, 4=16-bit stereo          */
+        short bits_per_samp;  /* Number of bits per sample               */
+        char data[4];         /* "data"                                  */
+        long dlength;         /* data length in bytes (filelength - 44)  */
+    };
+
+    void initBufferHeader()
+    {
+        wavFileHeader wavh;
+
+        strncpy(wavh.riff, "RIFF", 4);
+        strncpy(wavh.wave, "WAVE", 4);
+        strncpy(wavh.fmt, "fmt ", 4);
+        strncpy(wavh.data, "data", 4);
+
+        wavh.chunk_size = 16;
+        wavh.format_tag = 1; // PCM
+        wavh.num_chans = 1;  // mono
+        wavh.srate = RATE;
+        wavh.bytes_per_sec = (RATE * 1 * 16 * 1) / 8;
+        wavh.bytes_per_samp = 2;
+        wavh.bits_per_samp = 16;
+        wavh.dlength = RATE * 2 * 1 * 16 / 2;
+        wavh.flength = wavh.dlength + 44;
+
+        _writer.writeSfudBuffer((byte *)&wavh, 44);
+    }
+
+    void audioCallback(uint16_t *buf, uint32_t buf_len)
+    {
+        static uint32_t idx = 44;
+
+        if (_isRecording)
+        {
+            for (uint32_t i = 0; i < buf_len; i++)
+            {
+                int16_t audio_value = ((int16_t)buf[i] - 2048) * 16;
+
+                _writer.writeSfudBuffer(audio_value & 0xFF);
+                _writer.writeSfudBuffer((audio_value >> 8) & 0xFF);
+            }
+
+            idx += buf_len;
+                
+            if (idx >= BUFFER_SIZE)
+            {
+                _writer.flushSfudBuffer();
+                idx = 44;
+                _isRecording = false;
+                _isRecordingReady = true;
+            }
+        }
+    }
+};
+
+Mic mic;
+
+void DMAC_1_Handler()
+{
+    mic.dmaHandler();
+}
diff --git a/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/speech_to_text.h b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/speech_to_text.h
new file mode 100644
index 00000000..a7ce075f
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/speech_to_text.h
@@ -0,0 +1,102 @@
+#pragma once
+
+#include <Arduino.h>
+#include <ArduinoJson.h>
+#include <HTTPClient.h>
+#include <WiFiClientSecure.h>
+
+#include "config.h"
+#include "flash_stream.h"
+
+class SpeechToText
+{
+public:
+    void init()
+    {
+        _token_client.setCACert(TOKEN_CERTIFICATE);
+        _speech_client.setCACert(SPEECH_CERTIFICATE);
+        _access_token = getAccessToken();
+    }
+
+    String convertSpeechToText()
+    {
+        char url[128];
+        sprintf(url, SPEECH_URL, SPEECH_LOCATION, LANGUAGE);
+
+        HTTPClient httpClient;
+        httpClient.begin(_speech_client, url);
+
+        httpClient.addHeader("Authorization", String("Bearer ") + _access_token);
+        httpClient.addHeader("Content-Type", String("audio/wav; codecs=audio/pcm; samplerate=") + String(RATE));
+        httpClient.addHeader("Accept", "application/json;text/xml");
+
+        Serial.println("Sending speech...");
+
+        FlashStream stream;
+        int httpResponseCode = httpClient.sendRequest("POST", &stream, BUFFER_SIZE);
+
+        Serial.println("Speech sent!");
+
+        String text = "";
+
+        if (httpResponseCode == 200)
+        {
+            String result = httpClient.getString();
+            Serial.println(result);
+
+            DynamicJsonDocument doc(1024);
+            deserializeJson(doc, result.c_str());
+
+            JsonObject obj = doc.as<JsonObject>();
+            text = obj["DisplayText"].as<String>();
+        }
+        else if (httpResponseCode == 401)
+        {
+            Serial.println("Access token expired, trying again with a new token");
+            _access_token = getAccessToken();
+            return convertSpeechToText();
+        }
+        else
+        {
+            Serial.print("Failed to convert text to speech - error ");
+            Serial.println(httpResponseCode);
+        }
+
+        httpClient.end();
+
+        return text;
+    }
+
+private:
+    String getAccessToken()
+    {
+        char url[128];
+        sprintf(url, TOKEN_URL, SPEECH_LOCATION);
+
+        HTTPClient httpClient;
+        httpClient.begin(_token_client, url);
+
+        httpClient.addHeader("Ocp-Apim-Subscription-Key", SPEECH_API_KEY);
+        int httpResultCode = httpClient.POST("{}");
+
+        if (httpResultCode != 200)
+        {
+            Serial.println("Error getting access token, trying again...");
+            delay(10000);
+            return getAccessToken();
+        }
+
+        Serial.println("Got access token.");
+        String result = httpClient.getString();
+
+        httpClient.end();
+
+        return result;
+    }
+
+    WiFiClientSecure _token_client;
+    WiFiClientSecure _speech_client;
+    String _access_token;
+};
+
+SpeechToText speechToText;
diff --git a/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/text_to_speech.h b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/text_to_speech.h
new file mode 100644
index 00000000..d7174fcd
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/text_to_speech.h
@@ -0,0 +1,86 @@
+#pragma once
+
+#include <Arduino.h>
+#include <ArduinoJson.h>
+#include <HTTPClient.h>
+#include <Seeed_FS.h>
+#include <SD/Seeed_SD.h>
+#include <WiFiClient.h>
+#include <WiFiClientSecure.h>
+
+#include "config.h"
+
+class TextToSpeech
+{
+public:
+    void init()
+    {
+        DynamicJsonDocument doc(1024);
+        doc["language"] = LANGUAGE;
+
+        String body;
+        serializeJson(doc, body);
+
+        HTTPClient httpClient;
+        httpClient.begin(_client, GET_VOICES_FUNCTION_URL);
+
+        int httpResponseCode = httpClient.POST(body);
+
+        if (httpResponseCode == 200)
+        {
+            String result = httpClient.getString();
+            Serial.println(result);
+
+            DynamicJsonDocument doc(1024);
+            deserializeJson(doc, result.c_str());
+
+            JsonArray obj = doc.as<JsonArray>();
+            _voice = obj[0].as<String>();
+
+            Serial.print("Using voice ");
+            Serial.println(_voice);
+        }
+        else
+        {
+            Serial.print("Failed to get voices - error ");
+            Serial.println(httpResponseCode);
+        }
+
+        httpClient.end();
+    }
+
+    void convertTextToSpeech(String text)
+    {
+        DynamicJsonDocument doc(1024);
+        doc["language"] = LANGUAGE;
+        doc["voice"] = _voice;
+        doc["text"] = text;
+
+        String body;
+        serializeJson(doc, body);
+
+        HTTPClient httpClient;
+        httpClient.begin(_client, TEXT_TO_SPEECH_FUNCTION_URL);
+
+        int httpResponseCode = httpClient.POST(body);
+
+        if (httpResponseCode == 200)
+        {            
+            File wav_file = SD.open("SPEECH.WAV", FILE_WRITE);
+            httpClient.writeToStream(&wav_file);
+            wav_file.close();
+        }
+        else
+        {
+            Serial.print("Failed to get speech - error ");
+            Serial.println(httpResponseCode);
+        }
+
+        httpClient.end();
+    }
+private:
+    WiFiClient _client;
+    String _voice;
+};
+
+TextToSpeech textToSpeech;
\ No newline at end of file
diff --git a/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/text_translator.h b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/text_translator.h
new file mode 100644
index 00000000..0404fa39
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/src/text_translator.h
@@ -0,0 +1,58 @@
+#pragma once
+
+#include <Arduino.h>
+#include <ArduinoJson.h>
+#include <HTTPClient.h>
+#include <WiFiClient.h>
+
+#include "config.h"
+
+class TextTranslator
+{
+public:
+    String translateText(String text, String from_language, String to_language)
+    {
+        DynamicJsonDocument doc(1024);
+        doc["text"] = text;
+        doc["from_language"] = from_language;
+        doc["to_language"] = to_language;
+
+        String body;
+        serializeJson(doc, body);
+
+        Serial.print("Translating ");
+        Serial.print(text);
+        Serial.print(" from ");
+        Serial.print(from_language);
+        Serial.print(" to ");
+        Serial.println(to_language);
+
+        HTTPClient httpClient;
+        httpClient.begin(_client, TRANSLATE_FUNCTION_URL);
+
+        int httpResponseCode = httpClient.POST(body);
+
+        String translated_text = "";
+
+        if (httpResponseCode == 200)
+        {
+            translated_text = httpClient.getString();
+            Serial.print("Translated: ");
+            Serial.println(translated_text);
+        }
+        else
+        {
+            Serial.print("Failed to translate text - error ");
+            Serial.println(httpResponseCode);
+        }
+
+        httpClient.end();
+
+        return translated_text;
+    }
+
+private:
+    WiFiClient _client;
+};
+
+TextTranslator textTranslator;
diff --git a/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/test/README b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/test/README
new file mode 100644
index 00000000..b94d0890
--- /dev/null
+++ b/6-consumer/lessons/4-multiple-language-support/code/wio-terminal/smart-timer/test/README
@@ -0,0 +1,11 @@
+
+This directory is intended for PlatformIO Unit Testing and project tests.
+
+Unit Testing is a software testing method by which individual units of
+source code, sets of one or more MCU program modules together with associated
+control data, usage procedures, and operating procedures, are tested to
+determine whether they are fit for use. Unit testing finds problems early
+in the development cycle.
+
+More information about PlatformIO Unit Testing:
+- https://docs.platformio.org/page/plus/unit-testing.html
diff --git a/6-consumer/lessons/4-multiple-language-support/pi-translate-speech.md b/6-consumer/lessons/4-multiple-language-support/pi-translate-speech.md
index 51305971..59c08ff5 100644
--- a/6-consumer/lessons/4-multiple-language-support/pi-translate-speech.md
+++ b/6-consumer/lessons/4-multiple-language-support/pi-translate-speech.md
@@ -8,7 +8,7 @@ The speech service REST API doesn't support direct translations, instead you can
 
 ### Task - use the translator resource to translate text
 
-1. Your smart timer will have 2 languages set - the language of the server that was used to train LUIS, and the language spoken by the user. Update the `language` variable to be the language that will be spoken by the used, and add a new variable called `server_language` for the language used to train LUIS:
+1. Your smart timer will have 2 languages set - the language of the server that was used to train LUIS (the same language is also used to build the messages to speak to the user), and the language spoken by the user. Update the `language` variable to be the language that will be spoken by the user, and add a new variable called `server_language` for the language used to train LUIS:
 
     ```python
     language = '<user language>'
diff --git a/6-consumer/lessons/4-multiple-language-support/virtual-device-translate-speech.md b/6-consumer/lessons/4-multiple-language-support/virtual-device-translate-speech.md
index 15db3690..493a5b40 100644
--- a/6-consumer/lessons/4-multiple-language-support/virtual-device-translate-speech.md
+++ b/6-consumer/lessons/4-multiple-language-support/virtual-device-translate-speech.md
@@ -20,7 +20,7 @@ The speech service can take speech and not only convert to text in the same lang
 
     This imports classes used to translate speech, and a `requests` library that will be used to make a call to the Translator service later in this lesson.
 
-1. Your smart timer will have 2 languages set - the language of the server that was used to train LUIS, and the language spoken by the user. Update the `language` variable to be the language that will be spoken by the used, and add a new variable called `server_language` for the language used to train LUIS:
+1. Your smart timer will have 2 languages set - the language of the server that was used to train LUIS (the same language is also used to build the messages to speak to the user), and the language spoken by the user. Update the `language` variable to be the language that will be spoken by the user, and add a new variable called `server_language` for the language used to train LUIS:
 
     ```python
     language = '<user language>'
diff --git a/6-consumer/lessons/4-multiple-language-support/wio-terminal-translate-speech.md b/6-consumer/lessons/4-multiple-language-support/wio-terminal-translate-speech.md
index 7d25fa0f..2e3ce926 100644
--- a/6-consumer/lessons/4-multiple-language-support/wio-terminal-translate-speech.md
+++ b/6-consumer/lessons/4-multiple-language-support/wio-terminal-translate-speech.md
@@ -1,3 +1,270 @@
 # Translate speech - Wio Terminal
 
-Coming soon!
+In this part of the lesson, you will write code to translate text using the translator service.
+
+## Convert text to speech using the translator service
+
+The speech service REST API doesn't support direct translations, instead you can use the Translator service to translate the text generated by the speech to text service, and the text of the spoken response. This service has a REST API you can use to translate the text, but to make it easier to use this will be wrapped in another HTTP trigger in your functions app.
+
+### Task - create a serverless function to translate text
+
+1. Open your `smart-timer-trigger` project in VS Code, and open the terminal ensuring the virtual environment is activated. If not, kill and re-create the terminal.
+
+1. Open the `local.settings.json` file and add settings for the translator API key and location:
+
+    ```json
+    "TRANSLATOR_KEY": "<key>",
+    "TRANSLATOR_LOCATION": "<location>"
+    ```
+
+    Replace `<key>` with the API key for your translator service resource. Replace `<location>` with the location you used when you created the translator service resource.
+
+1. Add a new HTTP trigger to this app called `translate-text` using the following command from inside the VS Code terminal in the root folder of the functions app project:
+
+    ```sh
+    func new --name translate-text --template "HTTP trigger"
+    ```
+
+    This will create an HTTP trigger called `translate-text`.
+
+1. Replace the contents of the `__init__.py` file in the `translate-text` folder with the following:
+
+    ```python
+    import logging
+    import os
+    import requests
+    
+    import azure.functions as func
+    
+    location = os.environ['TRANSLATOR_LOCATION']
+    translator_key = os.environ['TRANSLATOR_KEY']
+    
+    def main(req: func.HttpRequest) -> func.HttpResponse:
+        req_body = req.get_json()
+        from_language = req_body['from_language']
+        to_language = req_body['to_language']
+        text = req_body['text']
+        
+        logging.info(f'Translating {text} from {from_language} to {to_language}')
+    
+        url = f'https://api.cognitive.microsofttranslator.com/translate?api-version=3.0'
+    
+        headers = {
+            'Ocp-Apim-Subscription-Key': translator_key,
+            'Ocp-Apim-Subscription-Region': location,
+            'Content-type': 'application/json'
+        }
+    
+        params = {
+            'from': from_language,
+            'to': to_language
+        }
+    
+        body = [{
+            'text' : text
+        }]
+        
+        response = requests.post(url, headers=headers, params=params, json=body)
+        return func.HttpResponse(response.json()[0]['translations'][0]['text'])
+    ```
+
+    This code extracts the text and the languages from the HTTP request. It then makes a request to the translator REST API, passing the languages as parameters for the URL and the text to translate as the body. Finally, the translation is returned.
+
+1. Run your function app locally. You can then call this using a tool like curl in the same way that you tested your `text-to-timer` HTTP trigger. Make sure to pass the text to translate and the languages as a JSON body:
+
+    ```json
+    {
+        "text": "Définir une minuterie de 30 secondes",
+        "from_language": "fr-FR",
+        "to_language": "en-US"
+    }
+    ```
+
+    This example translates *Définir une minuterie de 30 secondes* from French to US English. It will return *Set a 30-second timer*.
+
+> 💁 You can find this code in the [code/functions](code/functions) folder.
+
+### Task - use the translator function to translate text
+
+1. Open the `smart-timer` project in VS Code if it is not already open.
+
+1. Your smart timer will have 2 languages set - the language of the server that was used to train LUIS (the same language is also used to build the messages to speak to the user), and the language spoken by the user. Update the `LANGUAGE` constant in the `config.h` header file to be the language that will be spoken by the user, and add a new constant called `SERVER_LANGUAGE` for the language used to train LUIS:
+
+    ```cpp
+    const char *LANGUAGE = "<user language>";
+    const char *SERVER_LANGUAGE = "<server language>";
+    ```
+
+    Replace `<user language>` with the locale name for language you will be speaking in, for example `fr-FR` for French, or `zn-HK` for Cantonese.
+
+    Replace `<server language>` with the locale name for language used to train LUIS.
+
+    You can find a list of the supported languages and their locale names in the [Language and voice support documentation on Microsoft docs](https://docs.microsoft.com/azure/cognitive-services/speech-service/language-support?WT.mc_id=academic-17441-jabenn#speech-to-text).
+
+    > 💁 If you don't speak multiple languages you can use a service like [Bing Translate](https://www.bing.com/translator) or [Google Translate](https://translate.google.com) to translate from your preferred language to a language of your choice. These services can then play audio of the translated text.
+    >
+    > For example, if you train LUIS in English, but want to use French as the user language, you can translate sentences like "set a 2 minute and 27 second timer" from English into French using Bing Translate, then use the **Listen translation** button to speak the translation into your microphone.
+    >
+    > ![The listen translation button on Bing translate](../../../images/bing-translate.png)
+
+1. Add the translator API key and location below the `SPEECH_LOCATION`:
+
+    ```cpp
+    const char *TRANSLATOR_API_KEY = "<KEY>";
+    const char *TRANSLATOR_LOCATION = "<LOCATION>";
+    ```
+
+    Replace `<KEY>` with the API key for your translator service resource. Replace `<LOCATION>` with the location you used when you created the translator service resource.
+
+1. Add the translator trigger URL below the `VOICE_URL`:
+
+    ```cpp
+    const char *TRANSLATE_FUNCTION_URL = "<URL>";
+    ```
+
+    Replace `<URL>` with the URL for the `translate-text` HTTP trigger on your function app. This will be the same as the value for `TEXT_TO_TIMER_FUNCTION_URL`, except with a function name of `translate-text` instead of `text-to-timer`.
+
+1. Add a new file to the `src` folder called `text_translator.h`.
+
+1. This new `text_translator.h` header file will contain a class to translate text. Add the following to this file to declare this class:
+
+    ```cpp
+    #pragma once
+    
+    #include <Arduino.h>
+    #include <ArduinoJson.h>
+    #include <HTTPClient.h>
+    #include <WiFiClient.h>
+    
+    #include "config.h"
+    
+    class TextTranslator
+    {
+    public:   
+    private:
+        WiFiClient _client;
+    };
+    
+    TextTranslator textTranslator;
+    ```
+
+    This declares the `TextTranslator` class, along with an instance of this class. The class has a single field for the WiFi client.
+
+1. To the `public` section of this class, add a method to translate text:
+
+    ```cpp
+    String translateText(String text, String from_language, String to_language)
+    {
+    }
+    ```
+
+    This method takes the language to translate from, and the language to translate to. When handling speech, the speech will be translated from the user language to the LUIS server language, and when giving responses it will translate from the LUIS server language to the users language.
+
+1. In this method, add code to construct a JSON body containing the text to translate and the languages:
+
+    ```cpp
+    DynamicJsonDocument doc(1024);
+    doc["text"] = text;
+    doc["from_language"] = from_language;
+    doc["to_language"] = to_language;
+
+    String body;
+    serializeJson(doc, body);
+
+    Serial.print("Translating ");
+    Serial.print(text);
+    Serial.print(" from ");
+    Serial.print(from_language);
+    Serial.print(" to ");
+    Serial.print(to_language);
+    ```
+
+1. Below this, add the following code to send the body to the serverless function app:
+
+    ```cpp
+    HTTPClient httpClient;
+    httpClient.begin(_client, TRANSLATE_FUNCTION_URL);
+
+    int httpResponseCode = httpClient.POST(body);
+    ```
+
+1. Next, add code to get the response:
+
+    ```cpp
+    String translated_text = "";
+
+    if (httpResponseCode == 200)
+    {
+        translated_text = httpClient.getString();
+        Serial.print("Translated: ");
+        Serial.println(translated_text);
+    }
+    else
+    {
+        Serial.print("Failed to translate text - error ");
+        Serial.println(httpResponseCode);
+    }
+    ```
+
+1. Finally, add code to close the connection and return the translated text:
+
+    ```cpp
+    httpClient.end();
+
+    return translated_text;
+    ```
+
+### Task - translate the recognized speech and the responses
+
+1. Open the `main.cpp` file.
+
+1. Add an include directive at the top of the file for the `TextTranslator` class header file:
+
+    ```cpp
+    #include "text_translator.h"
+    ```
+
+1. The text that is said when a timer is set or expires needs to be translated. To do this, add the following as the first line of the `say` function:
+
+    ```cpp
+    text = textTranslator.translateText(text, LANGUAGE, SERVER_LANGUAGE);
+    ```
+
+    This will translate the text to the users language.
+
+1. In the `processAudio` function, text is retrieved from the captured audio with the `String text = speechToText.convertSpeechToText();` call. After this call, translate the text:
+
+    ```cpp
+    String text = speechToText.convertSpeechToText();
+    text = textTranslator.translateText(text, LANGUAGE, SERVER_LANGUAGE);
+    ```
+
+    This will translate the text from the users language into the language used on the server.
+
+1. Build this code, upload it to your Wio Terminal and test it out through the serial monitor. Once you see `Ready` in the serial monitor, press the C button (the one on the left-hand side, closest to the power switch), and speak. Ensure your function app is running, and request a timer in the user language, either by speaking that language yourself, or using a translation app.
+
+    ```output
+    Connecting to WiFi..
+    Connected!
+    Got access token.
+    Ready.
+    Starting recording...
+    Finished recording
+    Sending speech...
+    Speech sent!
+    {"RecognitionStatus":"Success","DisplayText":"Définir une minuterie de 2 minutes 27 secondes.","Offset":9600000,"Duration":40400000}
+    Translating Définir une minuterie de 2 minutes 27 secondes. from fr-FR to en-US
+    Translated: Set a timer of 2 minutes 27 seconds.
+    Set a timer of 2 minutes 27 seconds.
+    {"seconds": 147}
+    Translating 2 minute 27 second timer started. from en-US to fr-FR
+    Translated: 2 minute 27 seconde minute a commencé.
+    2 minute 27 seconde minute a commencé.
+    Translating Times up on your 2 minute 27 second timer. from en-US to fr-FR
+    Translated: Chronométrant votre minuterie de 2 minutes 27 secondes.
+    Chronométrant votre minuterie de 2 minutes 27 secondes.
+    ```
+
+> 💁 You can find this code in the [code/wio-terminal](code/wio-terminal) folder.
+
+😀 Your multi-lingual timer program was a success!
diff --git a/README.md b/README.md
index 84e45fd3..a4bacfb8 100644
--- a/README.md
+++ b/README.md
@@ -115,6 +115,10 @@ npm i
 npm run convert
 ```
 
+### Slides
+
+There are slide decks for some of the lessons in the [slides](./slides) folder.
+
 ## Help Wanted!
 
 Would you like to contribute a translation? Please read our [translation guidelines](TRANSLATIONS.md) and add input [to one of the translations issues](https://github.com/microsoft/IoT-For-Beginners/issues?q=is%3Aissue+is%3Aopen+label%3Atranslation). If you want to translate into a new language, please raise a new issue for tracking.
diff --git a/hardware.md b/hardware.md
index 90fc4cc0..784c7858 100644
--- a/hardware.md
+++ b/hardware.md
@@ -46,7 +46,7 @@ These are specific to using the Wio terminal Arduino device, and are not relevan
 * [Breadboard Jumper Wires](https://www.seeedstudio.com/Breadboard-Jumper-Wire-Pack-241mm-200mm-160mm-117m-p-234.html)
 * Headphones or other speaker with a 3.5mm jack, or a JST speaker such as:
   * [Mono Enclosed Speaker - 2W 6 Ohm](https://www.seeedstudio.com/Mono-Enclosed-Speaker-2W-6-Ohm-p-2832.html)
-* *Optional* - microSD Card 16GB or less for testing image capture, along with a connector to use the SD card with your computer if you don't have one built-in. **NOTE** - the Wio Terminal only supports SD cards up to 16GB, it does not support higher capacities.
+* microSD Card 16GB or less, along with a connector to use the SD card with your computer if you don't have one built-in. **NOTE** - the Wio Terminal only supports SD cards up to 16GB, it does not support higher capacities.
 
 ## Raspberry Pi
 
diff --git a/images/Diagrams.sketch b/images/Diagrams.sketch
index 53c08897..6dfeb3b5 100644
Binary files a/images/Diagrams.sketch and b/images/Diagrams.sketch differ
diff --git a/images/wio-sd-card.png b/images/wio-sd-card.png
new file mode 100644
index 00000000..c69b0b30
Binary files /dev/null and b/images/wio-sd-card.png differ
diff --git a/quiz-app/package-lock.json b/quiz-app/package-lock.json
index de80584c..ba15a276 100644
--- a/quiz-app/package-lock.json
+++ b/quiz-app/package-lock.json
@@ -1,8 +1,15014 @@
 {
   "name": "quizzes",
   "version": "0.1.0",
-  "lockfileVersion": 1,
+  "lockfileVersion": 2,
   "requires": true,
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+      "name": "quizzes",
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+        "vue": "^2.6.11",
+        "vue-i18n": "^8.22.2",
+        "vue-router": "^3.4.9"
+      },
+      "devDependencies": {
+        "@vue/cli-plugin-babel": "~4.5.0",
+        "@vue/cli-plugin-eslint": "~4.5.0",
+        "@vue/cli-service": "~4.5.0",
+        "babel-eslint": "^10.1.0",
+        "eslint": "^6.7.2",
+        "eslint-plugin-vue": "^6.2.2",
+        "vue-template-compiler": "^2.6.11"
+      }
+    },
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+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.12.11.tgz",
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+      "dev": true,
+      "dependencies": {
+        "@babel/highlight": "^7.10.4"
+      }
+    },
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+      "integrity": "sha512-jcKpkthap6x63MB4TxwCyuIGkV0oYP/YRyuQU5UO0Yz/E/ZAu+653/uov+phdmO54n6BcvFRyyt0RRrWdN2mpw==",
+      "dev": true,
+      "hasInstallScript": true,
+      "dependencies": {
+        "execa": "^0.8.0",
+        "is-ci": "^1.0.10",
+        "normalize-path": "^1.0.0",
+        "strip-indent": "^2.0.0"
+      },
+      "engines": {
+        "node": ">=4"
+      }
+    },
+    "node_modules/yorkie/node_modules/cross-spawn": {
+      "version": "5.1.0",
+      "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-5.1.0.tgz",
+      "integrity": "sha1-6L0O/uWPz/b4+UUQoKVUu/ojVEk=",
+      "dev": true,
+      "dependencies": {
+        "lru-cache": "^4.0.1",
+        "shebang-command": "^1.2.0",
+        "which": "^1.2.9"
+      }
+    },
+    "node_modules/yorkie/node_modules/execa": {
+      "version": "0.8.0",
+      "resolved": "https://registry.npmjs.org/execa/-/execa-0.8.0.tgz",
+      "integrity": "sha1-2NdrvBtVIX7RkP1t1J08d07PyNo=",
+      "dev": true,
+      "dependencies": {
+        "cross-spawn": "^5.0.1",
+        "get-stream": "^3.0.0",
+        "is-stream": "^1.1.0",
+        "npm-run-path": "^2.0.0",
+        "p-finally": "^1.0.0",
+        "signal-exit": "^3.0.0",
+        "strip-eof": "^1.0.0"
+      },
+      "engines": {
+        "node": ">=4"
+      }
+    },
+    "node_modules/yorkie/node_modules/get-stream": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/get-stream/-/get-stream-3.0.0.tgz",
+      "integrity": "sha1-jpQ9E1jcN1VQVOy+LtsFqhdO3hQ=",
+      "dev": true,
+      "engines": {
+        "node": ">=4"
+      }
+    },
+    "node_modules/yorkie/node_modules/lru-cache": {
+      "version": "4.1.5",
+      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-4.1.5.tgz",
+      "integrity": "sha512-sWZlbEP2OsHNkXrMl5GYk/jKk70MBng6UU4YI/qGDYbgf6YbP4EvmqISbXCoJiRKs+1bSpFHVgQxvJ17F2li5g==",
+      "dev": true,
+      "dependencies": {
+        "pseudomap": "^1.0.2",
+        "yallist": "^2.1.2"
+      }
+    },
+    "node_modules/yorkie/node_modules/normalize-path": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/normalize-path/-/normalize-path-1.0.0.tgz",
+      "integrity": "sha1-MtDkcvkf80VwHBWoMRAY07CpA3k=",
+      "dev": true,
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
+    "node_modules/yorkie/node_modules/yallist": {
+      "version": "2.1.2",
+      "resolved": "https://registry.npmjs.org/yallist/-/yallist-2.1.2.tgz",
+      "integrity": "sha1-HBH5IY8HYImkfdUS+TxmmaaoHVI=",
+      "dev": true
+    }
+  },
   "dependencies": {
     "@babel/code-frame": {
       "version": "7.12.11",
@@ -1638,7 +16644,8 @@
       "version": "4.5.9",
       "resolved": "https://registry.npmjs.org/@vue/cli-plugin-vuex/-/cli-plugin-vuex-4.5.9.tgz",
       "integrity": "sha512-mFNIJhYiJjzCgytkDHX00ROy5Yzl7prkZpUbeDE0biwcLteMf2s3qZVbESOQl6GcviqcfEt2f3tHQQtLNa+OLg==",
-      "dev": true
+      "dev": true,
+      "requires": {}
     },
     "@vue/cli-service": {
       "version": "4.5.9",
@@ -1929,7 +16936,8 @@
       "version": "1.1.2",
       "resolved": "https://registry.npmjs.org/@vue/preload-webpack-plugin/-/preload-webpack-plugin-1.1.2.tgz",
       "integrity": "sha512-LIZMuJk38pk9U9Ur4YzHjlIyMuxPlACdBIHH9/nGYVTsaGKOSnSuELiE8vS9wa+dJpIYspYUOqk+L1Q4pgHQHQ==",
-      "dev": true
+      "dev": true,
+      "requires": {}
     },
     "@vue/web-component-wrapper": {
       "version": "1.2.0",
@@ -2144,7 +17152,8 @@
       "version": "5.3.1",
       "resolved": "https://registry.npmjs.org/acorn-jsx/-/acorn-jsx-5.3.1.tgz",
       "integrity": "sha512-K0Ptm/47OKfQRpNQ2J/oIN/3QYiK6FwW+eJbILhsdxh2WTLdl+30o8aGdTbm5JbffpFFAg/g+zi1E+jvJha5ng==",
-      "dev": true
+      "dev": true,
+      "requires": {}
     },
     "acorn-walk": {
       "version": "7.2.0",
@@ -2184,13 +17193,15 @@
       "version": "1.0.1",
       "resolved": "https://registry.npmjs.org/ajv-errors/-/ajv-errors-1.0.1.tgz",
       "integrity": "sha512-DCRfO/4nQ+89p/RK43i8Ezd41EqdGIU4ld7nGF8OQ14oc/we5rEntLCUa7+jrn3nn83BosfwZA0wb4pon2o8iQ==",
-      "dev": true
+      "dev": true,
+      "requires": {}
     },
     "ajv-keywords": {
       "version": "3.5.2",
       "resolved": "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-3.5.2.tgz",
       "integrity": "sha512-5p6WTN0DdTGVQk6VjcEju19IgaHudalcfabD7yhDGeA6bcQnmL+CpveLJq/3hvfwd1aof6L386Ougkx6RfyMIQ==",
-      "dev": true
+      "dev": true,
+      "requires": {}
     },
     "alphanum-sort": {
       "version": "1.0.2",
@@ -10352,6 +25363,15 @@
       "integrity": "sha1-J5siXfHVgrH1TmWt3UNS4Y+qBxM=",
       "dev": true
     },
+    "string_decoder": {
+      "version": "1.1.1",
+      "resolved": "https://registry.npmjs.org/string_decoder/-/string_decoder-1.1.1.tgz",
+      "integrity": "sha512-n/ShnvDi6FHbbVfviro+WojiFzv+s8MPMHBczVePfUpDJLwoLT0ht1l4YwBCbi8pJAveEEdnkHyPyTP/mzRfwg==",
+      "dev": true,
+      "requires": {
+        "safe-buffer": "~5.1.0"
+      }
+    },
     "string-width": {
       "version": "4.2.0",
       "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.0.tgz",
@@ -10383,15 +25403,6 @@
         "define-properties": "^1.1.3"
       }
     },
-    "string_decoder": {
-      "version": "1.1.1",
-      "resolved": "https://registry.npmjs.org/string_decoder/-/string_decoder-1.1.1.tgz",
-      "integrity": "sha512-n/ShnvDi6FHbbVfviro+WojiFzv+s8MPMHBczVePfUpDJLwoLT0ht1l4YwBCbi8pJAveEEdnkHyPyTP/mzRfwg==",
-      "dev": true,
-      "requires": {
-        "safe-buffer": "~5.1.0"
-      }
-    },
     "strip-ansi": {
       "version": "6.0.0",
       "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.0.tgz",
diff --git a/quiz-app/src/App.vue b/quiz-app/src/App.vue
index a6a92613..ca812e48 100644
--- a/quiz-app/src/App.vue
+++ b/quiz-app/src/App.vue
@@ -3,10 +3,10 @@
     <nav>
       <router-link class="navlink" to="/">Home</router-link>
       <label for="locale">locale</label>
-      <select v-model="locale">
-        <option>ar</option>
-        <option>bn</option>
-        <option>en</option>
+      <select v-model="native_name">
+        <option v-for="lan in iso_639_1_map_keys" :key="lan">
+          {{ lan }}
+        </option>
       </select>
     </nav>
     <div id="app">
@@ -30,12 +30,26 @@ export default {
   },
   data() {
     return {
-      locale: "en",
+      native_name: "English",
+
+      // Native names are from
+      // https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes
+      iso_639_1_map: {
+        "العربية": "ar",
+        "বাংলা": "bn",
+        "English": "en",
+        "中文 - 大陆简体": "zh-cn",
+      },
     };
   },
+  computed: {
+    iso_639_1_map_keys() {
+      return Object.keys(this.iso_639_1_map);
+    }
+  },
   watch: {
-    locale(val) {
-      this.$root.$i18n.locale = val;
+    native_name(val) {
+      this.$root.$i18n.locale = this.iso_639_1_map[val];
     },
   },
   created() {
diff --git a/quiz-app/src/assets/translations/bn.json b/quiz-app/src/assets/translations/bn.json
index 1617b609..13c05a16 100644
--- a/quiz-app/src/assets/translations/bn.json
+++ b/quiz-app/src/assets/translations/bn.json
@@ -410,7 +410,7 @@
 			},
 			{
 				"id": 9,
-				"title": "লেসন ৫ - গাছের বৃদ্ধি অনুমান করা: লেকচার পূর্ববর্তী কুইজ",
+				"title": "লেসন ৫ - উদ্ভিদের বৃদ্ধির পূর্বাভাস: লেকচার পূর্ববর্তী কুইজ",
 				"quiz": [
 					{
 						"questionText": "আইট ডিভাইসগুলি কৃষিক্ষেত্রে সহায়তা করতে ব্যবহার করা যেতে পারে",
@@ -459,7 +459,7 @@
 			},
 			{
 				"id": 10,
-				"title": "লেসন ৫ - গাছের বৃদ্ধি অনুমান করা: লেকচার পরবর্তী কুইজ",
+				"title": "লেসন ৫ - উদ্ভিদের বৃদ্ধির পূর্বাভাস: লেকচার পরবর্তী কুইজ",
 				"quiz": [
 					{
 						"questionText": "উদ্ভিদের বৃদ্ধি তাপমাত্রার উপর নির্ভরশীল",
@@ -1011,6 +1011,1450 @@
 						]
 					}
 				]
+			},
+			{
+				"id": 21,
+				"title": "লেসন ১১ - লোকেশন ট্র্যাকিং: লেকচার পূর্ববর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "অবস্থান সুনির্দিষ্ট করতে প্রয়োজন -",
+						"answerOptions": [
+							{
+								"answerText": "কেবল অক্ষাংশ",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "কেবল দ্রাঘিমাংশ",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "অক্ষাংশ এবং দ্রাঘিমাংশ",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "যে ধরণের সেন্সর অবস্থান ট্র্যাক করতে পারে তাদের বলা হয় -",
+						"answerOptions": [
+							{
+								"answerText": "GPS",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "PGP",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "GIF",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "গাড়ির অবস্থান ট্র্যাক করা মূল্যহীন",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 22,
+				"title": "লেসন ১১ - লোকেশন ট্র্যাকিং: লেকচার পরবর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "সেন্সর ব্যবহার করে জিপিএস ডেটা প্রেরণে প্রয়োজন হয় ",
+						"answerOptions": [
+							{
+								"answerText": "অক্ষাংশ এবং দ্রাঘিমাংশ স্থানাঙ্ক",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "ঠিকানা",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "NMEA sentences",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "একটি ভাল জিপিএস ফিক্স পেতে কমপক্ষে কতটি স্যাটেলাইট থেকে সিগন্যাল গ্রহণ করা দরকার ? ",
+						"answerOptions": [
+							{
+								"answerText": "1",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "2",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "3",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "জিপিএস সেন্সরগুলি ডেটা প্রেরণ করে কোনটির মাধ্যমে ?",
+						"answerOptions": [
+							{
+								"answerText": "SPI",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "UART",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "ইমেইল",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 23,
+				"title": "লেসন ১২ - লোকেশন ডেটা স্টোর  করা: লেকচার পূর্ববর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "IoT ডেটা স্টোর হয় আইওটি হাবে-",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "ডেটাকে নিম্নলিখিতভাবে ভাগ করা যায় -",
+						"answerOptions": [
+							{
+								"answerText": "Blob এবং table",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Structured এবং unstructured",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "লাল এবং নীল",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "সার্ভারলেস কোড দ্বারা ডেটাবেস এ আইওটি ডেটা প্রদান করা যায় -",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 24,
+				"title": "লেসন ১২ - লোকেশন ডেটা স্টোর  করা: লেকচার পূর্ববর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "IoT ডেটা তাৎক্ষণিকভাবে কোন path এ প্রসেস করা হয়:",
+						"answerOptions": [
+							{
+								"answerText": "Hot",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "Warm",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Cold",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "Azure স্টোরেজ এর কোন কোন ধরণের স্টোরেজ রয়েছে-",
+						"answerOptions": [
+							{
+								"answerText": "Boxes, tubs, bins",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Blob, table, queue এবং file",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "Hot, warm, cold",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "Azure Functions কে কোন একটি ডেটাবেসে রিটার্ন ভ্যালু দেয়ার মত করে সীমাবদ্ধ করা যায় - can be bound to database to write return values to the database",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 25,
+				"title": "লেসনঃ১৩  -  লোকেশন ডেটা Visualize করা: লেকচার   পূর্ববর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "ডেটা  খোঁজার জন্য বড় টেবলগুলো সুবিধাজনক",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "GPS ডেটা কেবলমাত্র ম্যাপেই দেখা যাবে",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "বৃহৎ এলাকার ম্যাপে ,  কোন নির্দিষ্ট দূরত্ব ম্যাপে এবং বাস্তবিক জগতে সমান হবে - তা সে যেখানেই পরিমাপ করা হোক না কেন - ",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 26,
+				"title": "লেসন ১৩ - লোকেশন ডেটা Visualize করা: লেকচার  পরবর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "যে সার্ভিস ব্যবহার করে  ম্যাপ আঁকা হয় -",
+						"answerOptions": [
+							{
+								"answerText": "Azure Maps",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "Azure Atlas",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Azure World Visualizer",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "Azure maps ___ ব্যবহার করে ম্যাপের ডেটা প্লট করে ।",
+						"answerOptions": [
+							{
+								"answerText": "GeoJSON",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "latitude এবং longitude থেকে",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Address সমূহের লিস্ট থেকে",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "Blobs কে URL  এর সাহায্যে রিট্রিভ করা যায় -",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 27,
+				"title": "লেসন 14 - Geofences: লেকচার পূর্ববর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "GPS স্থানাঙ্ক ব্যবহার করে একটি নির্দিষ্ট এলাকায় কোন বস্তুর অবস্থান জানা যাবে ",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "GPS অত্যন্ত নির্ভুলভাবে ১মাইলের ভিতরে ১টি নির্দিষ্ট অঞ্চলে যানবাহন প্রবেশ করলেই তা নির্দেশ করতে পারে -",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "কখন যানবাহন ট্র্যাক করার জন্য Geofences ব্যবহার করা উচিত -",
+						"answerOptions": [
+							{
+								"answerText": "কেবল যখন ১টি নির্দিষ্ট অঞ্চলে যানবাহন প্রবেশ করে",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "কেবল যখন ১টি নির্দিষ্ট অঞ্চল থেকে যানবাহন ত্যাগ করে",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "যখন ১টি নির্দিষ্ট অঞ্চলে যানবাহন প্রবেশ করে অথবা সেই অঞ্চল ত্যাগ করে",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 28,
+				"title": "লেসন 14 - Geofences: লেকচার-পরবর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "আইওটি হাব থেকে একাধিক সার্ভিস দিয়ে ডেটা গ্রহণের জন্য আমাদের একাধিক কী দরকার -",
+						"answerOptions": [
+							{
+								"answerText": "কনজ্যুমার গ্রুপ",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "পাইপ",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "আইওটি হাব",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "জিওফেন্স কলে ডিফলট কতটুকু বাফার থাকে ?",
+						"answerOptions": [
+							{
+								"answerText": "5m",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "50m",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "500m",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "জিওফেন্সের ভেতরে পয়েন্টগুলোর দূরত্ব -",
+						"answerOptions": [
+							{
+								"answerText": "0 এর কম ( ঋণাত্মক মান)",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": " 0 এর বড় (ধ্বনাত্মক মান)",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 29,
+				"title": "লেসন ১৫ - ফলের মান শনাক্তকারী মডেলকে ট্রেইনিং দেয়া: লেকচার-পূর্ববর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "ক্যামেরাকে আইওটি হাব সেন্সর হিসেবে ব্যবহার করা যায় -",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "ক্যামেরা ব্যবহার করে ফলগুলোকে শ্রেনিবদ্ধ করে সাজানো যায় -",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "স্থিরচিত্র বা ইমেজ-নির্ভর কৃত্রিম বুদ্ধিমত্তা (AI) মডেলগুলো খুবই জটিল এবং এগুলোকে ট্রেইন করানো সময়সাধ্য যেখানে হাজার হাজার ইমেজ/ছবি প্রয়োজন",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 30,
+				"title": "লেসন ১৫ - ফলের মান শনাক্তকারী মডেলকে ট্রেইনিং দেয়া: লেকচার-পরবর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "কাস্টম ভিশনের ব্যবহৃত টেকনিকে অল্প কিছু ছবি ব্যবহার করে মডেলকে ট্রাইন করানো হয় -",
+						"answerOptions": [
+							{
+								"answerText": "Transformational learning",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Transaction learning",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Transfer learning",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "ছবি শ্রেনিবদ্ধকারী (Image classifiers) কে নিম্নের কোনটি ব্যবহার করে ট্রেইন করানো যায় -",
+						"answerOptions": [
+							{
+								"answerText": "প্রতি ট্যাগে কেবল ১টি ছবি",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "প্রতি ট্যাগে অন্তত ৫টি ছবি",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "প্রতি ট্যাগে অন্তত ৫০টি ছবি",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "যে হার্ডওয়্যার দ্বারা মেশিন লার্নিং মডেলকে দ্রুত ট্রেইন করানো যায় এবং Xbox এ সুন্দর গ্রাফিক্স প্রদর্শন করে সেটির নাম -",
+						"answerOptions": [
+							{
+								"answerText": "PGU",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "GPU",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "PUG",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 31,
+				"title": "লেসন ১৬ - আইওটি দ্বারা ফলের মান শনাক্তকরণ: লেকচার-পূর্ববর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "IoT ডিভাইসগুলো ক্যামেরা ব্যবহার করার মতো শক্তিশালী নয় ",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "ক্যামেরা সেন্সরগুলো ফিল্ম ব্যবহার করে চিত্র ধারণ করে",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "ক্যামেরা সেন্সরগুলো কোন ধরণের ডেটা প্রেরণ করে -",
+						"answerOptions": [
+							{
+								"answerText": "ডিজিটাল",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "এনালগ",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 32,
+				"title": "লেসন ১৬ - আইওটি দ্বারা ফলের মান শনাক্তকরণ: লেকচার-পরবর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "কাস্টম ভিশন মডেলের পাবলিশড বা প্রকাশিত সংস্করণ (version) কে বলা হয় -",
+						"answerOptions": [
+							{
+								"answerText": "Iteration",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "Instance",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Iguana",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "শ্রেণিবদ্ধরণ  (classification) এর জন্য যখন ইমেজ পাঠানো হয়, তখন এগুলো দিয়ে মডেলকে পুনরায় ট্রেইন করানো যায় -",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "আইওটি ডিভাইস থেকে ক্যাপচার করা ইমেজ ব্যবহার করে মডেলগুলোকে ট্রেইন করার প্রয়োজন নেই কারণ সাধারণ  ক্যামেরা এবং ফোন ক্যামেরা একই মানের ছবি দেয় -",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 33,
+				"title": "লেসন 17 - ফল শনাক্তকারী মডেলকে Edge এ রান করানো : লেকচার-পূর্ববর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "Edge computing তুলনামূলকভাবে cloud computing এর চাইতে বেশি নিরাপদ",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "মিথ্য",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "Edge এর তুলনায় ক্লাউডে মেশিন লার্নিং মডেলগুলো ব্যবহার করলে তার ফলাফলে ভুলের মান বেশি হয় -",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্য",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "Edge ডিভাইসগুলোর সমসময় ইন্টারনেট কানেকশন দরকার.",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 34,
+				"title": "লেসন 17 - ফল শনাক্তকারী মডেলকে Edge এ রান করানো : লেকচার-পরবর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "Edge ডিভাইসে কাস্টম ভিশন মেশিন লার্নিং মডেলগুলো রান করার জন্য কোন ধরণের ফরম্যাট বা ডোমেইন ব্যবহার দরকার হবে ?",
+						"answerOptions": [
+							{
+								"answerText": "General",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Quick Training",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Standard",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Compact",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "Food",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Remote Deployment",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "কনটেইনার কী?",
+						"answerOptions": [
+							{
+								"answerText": "Self-contained এপ্লিকেশন যেগুলোতে মেশিন-লার্নিংমডেল থাকে",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Self-contained এপ্লিকেশন যেগুলো অন্য প্রোগ্রামের তুলনায় স্বতন্ত্রভাবে রান করে",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "Self-contained এপ্লিকেশন যেগুলো শুধুমাত্র Edge ডিভাইসে প্রোগ্রাম রান করে",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "self-contained applications এপ্লিকেশন যেগুলো ক্লাউড এবং Edge ডিভাইসের মধ্যে যোগাযোগ পরিচালনা করে",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "Edge ডিভাইসে চলা কাস্টমভিশন মডেল দিয়ে কীভাবে মেশিন লার্নিং কে পুনরায় ট্রেইন করানো যায়?",
+						"answerOptions": [
+							{
+								"answerText": "Edge ডিভাইসে ছবি তোলা, তা সেখানে সেইভ করা এবং  ML model কে new image folder এর দিকে নির্দেশ করা",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Edge ডিভাইস থেকে ক্লাউডে ইমেজ আপলোড করা, কাস্টমভিশন মডেল দিয়ে মেশিন লার্নিং কে পুনরায় ট্রেইন করা, তারপর আবারো এটিকে EDGE এ ডেপ্লয় করা",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "Edge ডিভাইসে ছবি তোলা এবং ভবিষ্যদ্বাণী (Prediction) এর আউটপুট দেখা",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 35,
+				"title": "লেসন 18 - Trigger fruit quality detection from a sensor: লেকচার-পূর্ববর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "Which part of your IoT application gathers data?",
+						"answerOptions": [
+							{
+								"answerText": "Things",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "Cloud services",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Edge devices",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "আইওটি এপ্লিকেশনের আউটপুট কেবল একচুয়েটরেই আসে -",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "সবকিছুকে সরাসরি আইওটি হাবে কানেক্ট করার প্রয়োজন নেই, বরং গেটওয়ে হিসেবে EDGE ডিভাইসগুলো ব্যবহার করা যায়",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 36,
+				"title": "লেসন ১৮ - সেন্সর দ্বারা ফলের মান শনাক্তকারীকে ট্রিগার করা : লেকচার-পরবর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": " আইওটি এপ্লিকেশন তৈরীর ৩টি উপাদান হলো-",
+						"answerOptions": [
+							{
+								"answerText": "Things, Insights, Actions",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "Things, Internet, Databases",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "AI, Blockchain, FizzBuzzers",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "যে উপাদানটি 'things' এর মধ্যে যোগাযোগ রক্ষা করে এবং 'insights' বা ফলাফল দেয়, সেটি হলো - ",
+						"answerOptions": [
+							{
+								"answerText": "Azure Functions",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "IoT Hub",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "Azure Maps",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "Flight proximity সেন্সরের টাইমিং কীভাবে কাজ করে work?",
+						"answerOptions": [
+							{
+								"answerText": " এগুলো লেজার বীম প্রেরণ করে এবং কত সময় পর কোন বস্তু থেকে ফেরত আসে তা হিসেব করে ",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "এগুলো শব্দ প্রেরণ করে এবং কত সময় পর কোন বস্তু থেকে তা ফেরত আসে তার হিসেব করে",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "অনেক লম্বা রুলার ব্যবহার করে",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 37,
+				"title": "লেসন ১৯ - স্টক নির্দেশক (Stock Detector) মডেল ট্রেইন করানো: লেকচার-পূর্ববর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "AI মডেলগুলোকে অবজেক্ট হিসেবে ব্যবহার করা যাবেনা?",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "IoT এবং AI খুচরাপর্যায়ে ব্যবহার করা যায়-",
+						"answerOptions": [
+							{
+								"answerText": "কেবল স্টক চেক করার জন্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "অনেকধরণের কাজে ব্যবহার করা যায় যেমনঃ স্টক চেক, প্রয়োজনমাফিক মাস্ক মনিটর করা, ফুটফল ট্র্যাক করা এবং অটোমেটিক বিল তৈরী",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "IoT এবং AI খুচরাপর্যায়ে ব্যবহার করা যায়না",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": " অবজেক্ট ডিটেকশনে ব্যবহার করা হয় ",
+						"answerOptions": [
+							{
+								"answerText": "কোন চিত্রের মধ্যে অবজেক্টগুলি সনাক্ত করা এবং তাদের অবস্থান এবং সম্ভাব্যতা ট্র্যাক করা",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "কেবল ইমেজ থেকে বস্তুর সংখ্যা গণনা",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "ইমেজগুলো শ্রেণিবদ্ধ (Classify) করা",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 38,
+				"title": "লেসন ১৯ - স্টক নির্দেশক (Stock Detector) মডেল ট্রেইন করানো: লেকচার-পরবর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "Object detectors গুলো কেবল ১টি রেজাল্ট রিটার্ন করে, তা সে যতটি অবজেক্টই ডিটেক্ট করুক",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "কাস্টমভিশন দ্বারা স্টক গণনার জন্য কোন ডোমেইন ব্যবহার সর্বোত্তম?",
+						"answerOptions": [
+							{
+								"answerText": "General",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Food",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Products on shelves",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": " ১টি object detector কে ট্রেইন করানোর জন্য অন্তত কয়টি ইমেজ দরকার?",
+						"answerOptions": [
+							{
+								"answerText": "1",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "15",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "100",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 39,
+				"title": "লেসন 20 - আইওটি ডিভাইস দ্বারা স্টক চেক করা: লেকচার-পূর্ববর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "IoT devices গুলো object detectors ব্যবহার করার মত পাওয়ারফুল নয়",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "Object detectors থেকে যা পাই:",
+						"answerOptions": [
+							{
+								"answerText": " অবজেক্ট এর সংখ্যা",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "অবজেক্ট এর সংখ্যা এবং লোকেশন",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "অবজেক্ট এর সংখ্যা, লোকেশন এবং সম্ভাব্যতা",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "Object detectors দ্বারা নিখোঁজ স্টকগুলো খুঁজে রোবট দ্বারা সেগুলো ঠিক করা যায়",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 40,
+				"title": "লেসন ২০ - আইওটি ডিভাইস দ্বারা স্টক চেক করা: লেকচার-পরবর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "স্টক গণনার জন্য আমাদের কেবল অবজেক্ট এর সংখ্যাই বিবেচনায় আনলেই হবে",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "Bounding boxes ব্যবহৃত হয় -",
+						"answerOptions": [
+							{
+								"answerText": "শতকরা নির্ভর স্থানাংকব্যবস্থায়",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "পিক্সেল নির্ভর স্থানাংকব্যবস্থায়",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "সেন্টিমিটার নির্ভর স্থানাংকব্যবস্থায়",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": " অবজেক্ট ওভারল্যাপ করলে তা বুঝতে পারে?",
+						"answerOptions": [
+							{
+								"answerText": "হ্যাঁ",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "না",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 41,
+				"title": "লেসন ২১ - আইওটি ডিভাইস দ্বারা স্পীচ বুঝতে পারা: লেকচার-পূর্ববর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "আইওটি ডিভাইস দ্বারা স্পীচ বুঝতে পারা যায় ঃ",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "ভয়েস এসিস্ট্যান্টগুলোর উচিত সকল অডিও প্রসেসিং এর জন্য ক্লাউডে পাঠানো",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "স্পীচ বুঝতে পারার জন্য IoT ডিভাইসগুলোর বড় মাইক্রোফোন প্রয়োজন-",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 42,
+				"title": "লেসন 21 -  আইওটি ডিভাইস দ্বারা স্পীচ বুঝতে পারা : লেকচার-পরবর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "মাইক্রোফোন কোন ধরণের সেন্সর ?",
+						"answerOptions": [
+							{
+								"answerText": "ডিজিটাল",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": " এনালগ",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "শব্দ সংকেতকে কীভাবে ডিজিটাল সিগন্যালে রূপান্তর করা যায় ?",
+						"answerOptions": [
+							{
+								"answerText": "Pulse Code Modulation",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "Pure Code Multiplication",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Pulse Width Maximization",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "১ সেকেন্ডে 16-bit এর অডিও কে 16KHz এ স্যাম্পল করা হলে, তা কত বড় ?",
+						"answerOptions": [
+							{
+								"answerText": "1KB",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "16KB",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "32KB",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 43,
+				"title": "লেসন ২২ - ভাষা বুঝতে পারা: লেকচার-পূর্ববর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "ভাষা বুঝতে পারার জন্য কিছু নির্দিষ্ট শব্দ বোঝা জরুরী",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "ভাষা বুঝতে পারার ক্ষেত্রে -",
+						"answerOptions": [
+							{
+								"answerText": "কোন নির্দিষ্ট বাক্যে স্বতন্ত্র কিছু শব্দ দেখে তার অর্থ বোঝা",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "আগে থেকেই বোঝানো বাক্যগুলো খুঁজে অর্থ বোঝা",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "পুরো বাক্য দেখে শব্দগুলোর পেছনের কনটেক্সট থেকে অর্থ বোঝা",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": " ক্লাউড প্রোভাইডারদের কাছে AI সার্ভিস রয়েছে যেগুলো ভাষা বুঝতে পারে",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 44,
+				"title": "লেসন ২২ - ভাষা বুঝতে পারা: লেকচার-পরবর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "১টি বাক্যকে বোঝার জন্য কীভাবে ভাঙা হয় -",
+						"answerOptions": [
+							{
+								"answerText": "Ideas and explanations",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Intents and entities",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "Imps and elves",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "ভাষা বোঝার জন্য ব্যবহৃত Microsoft service কে বলা হয়",
+						"answerOptions": [
+							{
+								"answerText": "LUIS",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "Luigi",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Jarvis",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "এখানে 'set a 3 minute timer' বাক্যটিতে -",
+						"answerOptions": [
+							{
+								"answerText": "এখানে  ইন্টেন্ট হলো 3 minutes এবং এনটিটি হলো a timer",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "এখানে  ইন্টেন্ট হলো minutes, এবং এনটিটি হলো 3 timers",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "এখানে  ইন্টেন্ট হলো set a timer এবং এনটিটি হলো 3 minutes",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 45,
+				"title": "লেসন ২৩ - টাইমার সেট করে মৌখিক ফীডব্যাক দেয়া: লেকচার-পূর্ববর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "AI থেকে মৌখিক বক্তব্য তৈরী করলে সেগুলো একঘেঁয়ে এবং রোবোটিক",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "AI model গুলো কেবল American English  এই  বক্তব্য তৈরী করতে পারে",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "AI model গুলো '1234' লেখাটিকে কোন মৌখিক বক্তব্যে পরিণত করবে?",
+						"answerOptions": [
+							{
+								"answerText": "One two three four",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "One thousand two hundred and thirty four",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "এটি 'one two three four' বা 'one thousand two hundred and thirty four' যেকোনটিই হতে পারে, কনটেক্সট এর ভিত্তিতে",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 46,
+				"title": "লেসন ২৩ - টাইমার সেট করে মৌখিক ফীডব্যাক দেয়া: লেকচার-পরবর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "মৌখিক তৈরীর ৩টি গঠনগত অংশ হলো-",
+						"answerOptions": [
+							{
+								"answerText": "টেক্সট বিশ্লেষণ, সেই বিশ্লেষণ বুঝতে পারা, শব্দ তৈরী",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "টেক্সট বিশ্লেষণ, ভাষাগত বিশ্লেষণ, গাঠনিক সংকেত তৈরী",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "শব্দ বিশ্লেষণ, অডিও তৈরী",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "বক্তব্য তৈরীকারী মডেলগুলো সত্যিকারের মানুষের মত কথা বলতে পারে -",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "বক্তব্য এনকোড করার জন্য যে মার্ক-আপ ল্যাংগুয়েজ ব্যবহৃত হয়, সেটি হলো -",
+						"answerOptions": [
+							{
+								"answerText": "SSML",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "MSSL",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "SpeechXML",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 47,
+				"title": "লেসন 24 - একাধিক ভাষা সাপোর্ট করা: লেকচার-পূর্ববর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "ভাষা বোঝার মানে হলো ইংরেজি বোঝা",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "AI speech to text models understand multiple languages:",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "AI অনুবাদে প্রতিটি শব্দভিত্তিক অনুবাদ হয়-",
+						"answerOptions": [
+							{
+								"answerText": "সত্য",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "মিথ্যা",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 48,
+				"title": "লেসন ২৪ - একাধিক ভাষা সাপোর্ট করা: লেকচার-পরবর্তী কুইজ",
+				"quiz": [
+					{
+						"questionText": "মেশিন ট্রান্সলেশন নিয়ে গবেষণা করা হচ্ছে কত বছর ধরে -",
+						"answerOptions": [
+							{
+								"answerText": "৭০ বছর",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "১৭ বছর",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "৭ বছর",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "AI ভাষা অনুবাদকগুলোকে বলা হয় -",
+						"answerOptions": [
+							{
+								"answerText": "Noddy translators",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Neural translators",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "AI দিয়ে অনুবাদ করা যায়না",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "কোন alien ভাষাগুলো্কে Microsoft translator সাপোর্ট করে -",
+						"answerOptions": [
+							{
+								"answerText": "Na'vi",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Alienese",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Klingon",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
 			}
 		]
 	}
diff --git a/quiz-app/src/assets/translations/en.json b/quiz-app/src/assets/translations/en.json
index ef77fc3a..055f10be 100644
--- a/quiz-app/src/assets/translations/en.json
+++ b/quiz-app/src/assets/translations/en.json
@@ -413,7 +413,7 @@
 				"title": "Lesson 5 - Predict plant growth: Pre-Lecture Quiz",
 				"quiz": [
 					{
-						"questionText": "Iot devices can be used to support agriculture",
+						"questionText": "IoT devices can be used to support agriculture",
 						"answerOptions": [
 							{
 								"answerText": "True",
@@ -515,7 +515,7 @@
 				"title": "Lesson 6 - Detect soil moisture: Pre-Lecture Quiz",
 				"quiz": [
 					{
-						"questionText": "Iot devices can be used to detect ambient properties like soil moisture",
+						"questionText": "IoT devices can be used to detect ambient properties like soil moisture",
 						"answerOptions": [
 							{
 								"answerText": "True",
@@ -621,7 +621,7 @@
 				"title": "Lesson 7 - Automated plant watering: Pre-Lecture Quiz",
 				"quiz": [
 					{
-						"questionText": "Iot devices are powerful enough to control water pumps",
+						"questionText": "IoT devices are powerful enough to control water pumps",
 						"answerOptions": [
 							{
 								"answerText": "True",
@@ -2392,7 +2392,7 @@
 								"isCorrect": "false"
 							},
 							{
-								"answerText": "false",
+								"answerText": "False",
 								"isCorrect": "true"
 							}
 						]
diff --git a/quiz-app/src/assets/translations/index.js b/quiz-app/src/assets/translations/index.js
index 1f118787..08cd4e01 100644
--- a/quiz-app/src/assets/translations/index.js
+++ b/quiz-app/src/assets/translations/index.js
@@ -2,6 +2,7 @@
 import ar from './ar.json';
 import bn from './bn.json';
 import en from './en.json';
+import zh_cn from './zh-cn.json';
 
 //export const defaultLocale = 'en';
 
@@ -9,6 +10,7 @@ const messages = {
 	ar: ar[0],
 	bn: bn[0],
 	en: en[0],
+	"zh-cn": zh_cn[0],
 };
 
 export default messages;
diff --git a/quiz-app/src/assets/translations/zh-cn.json b/quiz-app/src/assets/translations/zh-cn.json
new file mode 100644
index 00000000..54ba2e86
--- /dev/null
+++ b/quiz-app/src/assets/translations/zh-cn.json
@@ -0,0 +1,2461 @@
+[
+	{
+		"title": "面向初学者的物联网（IoT）开发：小测验",
+		"complete": "恭喜你，完成了这个测验！",
+		"error": "对不起，请重试",
+		"quizzes": [
+			{
+				"id": 1,
+				"title": "第1课 - 物联网（IoT）简介：课前测验",
+				"quiz": [
+					{
+						"questionText": "IoT中的I代表：",
+						"answerOptions": [
+							{
+								"answerText": "网络（Internet）",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "铱元素（Iridium）",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "熨烫（Ironing）",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "据估计2020年末大约有多少正在使用中的IoT设备？",
+						"answerOptions": [
+							{
+								"answerText": "30个",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "3000万",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "300亿",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "智能手机是IoT设备",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 2,
+				"title": "第1课 - 物联网（IoT）简介：课后测验",
+				"quiz": [
+					{
+						"questionText": "IoT设备需要一直连接着网络",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "IoT设备总是安全的",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "人工智能（AI）可以在低功耗的IoT设备中运行",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 3,
+				"title": "第2课 - 深入了解物联网（IoT）：课前测验",
+				"quiz": [
+					{
+						"questionText": "IoT中的T代表",
+						"answerOptions": [
+							{
+								"answerText": "晶体管（Transistors）",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "万物（Things）",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "火鸡（Turkeys）",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "IoT设备使用什么获取其周围世界的信息？",
+						"answerOptions": [
+							{
+								"answerText": "传感器",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "执行器",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "信鸽",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "IoT设备通常比台式电脑或笔记本电脑更耗电",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 4,
+				"title": "第2课 - 深入了解物联网（IoT）：课后测验",
+				"quiz": [
+					{
+						"questionText": "一个CPU指令周期的三个步骤包括：",
+						"answerOptions": [
+							{
+								"answerText": "译码，执行，提取",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "提取，译码，执行",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "停止，合作，倾听",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "树莓派（Raspberry Pi）运行什么操作系统？",
+						"answerOptions": [
+							{
+								"answerText": "没有操作系统",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Windows 95",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Raspberry Pi OS",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "IoT设备通常比台式计算机和笔记本计算机运行得更快且需要更多的内存",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 5,
+				"title": "第3课 - 通过传感器及执行器和物质世界交互：课前测验",
+				"quiz": [
+					{
+						"questionText": "发光二极管（LED）是传感器",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "传感器被用来：",
+						"answerOptions": [
+							{
+								"answerText": "收集来自物质世界的数据。",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "控制物质世界。",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "只用来监测温度。",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "执行器被用来：",
+						"answerOptions": [
+							{
+								"answerText": "收集来自物质世界的数据。",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "控制物质世界。",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "计算保险的风险。",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 6,
+				"title": "第3课 - 通过传感器及执行器和物质世界交互：课后测验",
+				"quiz": [
+					{
+						"questionText": "数字传感器以什么方式传递数据？",
+						"answerOptions": [
+							{
+								"answerText": "连续电压范围",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "仅高低电平",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "电子邮件",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "当按键被按下时会发送什么数字信号？",
+						"answerOptions": [
+							{
+								"answerText": "0",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "1",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "你可以使用数字器件的脉冲宽度调制（PWM）功能控制模拟执行器",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 7,
+				"title": "第4课 - 将你的设备连接到互联网：课前测验",
+				"quiz": [
+					{
+						"questionText": "IoT设备需要一直连着网络才能工作",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "IoT设备和网络应用及网络API一样，总是使用HTTP来通信",
+						"answerOptions": [
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "IoT设备依赖云来做决策",
+						"answerOptions": [
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 8,
+				"title": "第4课 - 将你的设备连接到互联网：课后测验",
+				"quiz": [
+					{
+						"questionText": "从传感器采集数据并传到云端叫做：",
+						"answerOptions": [
+							{
+								"answerText": "遥测（Telemetry）",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "指令（Command）",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "测量（Measurement）",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "因IoT设备离线导致指令不可达时应该怎么办：",
+						"answerOptions": [
+							{
+								"answerText": "总是在设备恢复在线时重传",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "即使设备恢复在线，也不重传",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "取决于指令、设备及IoT应用的需求，不能一概而论",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "消息队列遥测传输（MQTT）有消息队列",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 9,
+				"title": "第5课 - 预测植物生长：课前测验",
+				"quiz": [
+					{
+						"questionText": "IoT设备可以用来支援农业",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "植物需要的东西包括：（请选择最佳选项）",
+						"answerOptions": [
+							{
+								"answerText": "二氧化碳、水、养分",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "二氧化碳、水、养分、光",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "二氧化碳、水、养分、光、适宜的温度",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "传感器对于发达国家的农民来说过于昂贵",
+						"answerOptions": [
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 10,
+				"title": "第5课 - 预测植物生长：课后测验",
+				"quiz": [
+					{
+						"questionText": "植物的生长取决于温度",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "植物生长需要考虑的温度包括：",
+						"answerOptions": [
+							{
+								"answerText": "最低温、最高温",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "植物发育起点温度、最适温度、最高温",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "仅最高温",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "以下哪个公式可以计算有效积温：",
+						"answerOptions": [
+							{
+								"answerText": "(日内最高温 + 日内最低温) - 植物发育起点温度",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "((日内最高温 + 日内最低温) / 2) - 植物发育起点温度",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "((日内最低温 + 植物发育起点温度) / 2)",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 11,
+				"title": "第6课 - 检测土壤水分：课前测验",
+				"quiz": [
+					{
+						"questionText": "IoT设备可被用来检测如土壤水分之类的环境属性",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "以下哪一项可能导致植物生长问题（选一项）?",
+						"answerOptions": [
+							{
+								"answerText": "浇水太少",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "浇水太多",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "浇水太少或太多",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "所有的传感器都根据标准单位预先标定好了",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 12,
+				"title": "第6课 - 检测土壤水分：课后测验",
+				"quiz": [
+					{
+						"questionText": "在测量土壤水分的时候，电阻式和电容式湿度传感器的一个不同点是：",
+						"answerOptions": [
+							{
+								"answerText": "当湿度升高的时候，电阻式传感器的电压升高，电容式传感器的电压降低",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "当湿度升高的时候，电阻式传感器的电压降低，电容式传感器的电压升高",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "当湿度升高的时候，电阻式和电容式传感器的电压都升高",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "SPI协议支持：",
+						"answerOptions": [
+							{
+								"answerText": "仅一个控制器和一个外设",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "仅一个控制器但可以有多个外设",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "多个控制器和多个外设",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "I2C协议支持：",
+						"answerOptions": [
+							{
+								"answerText": "仅一个控制器和一个外设",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "仅一个控制器但可以有多个外设",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "多个控制器和多个外设",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 13,
+				"title": "第7课 - 自动植物浇水：课前测验",
+				"quiz": [
+					{
+						"questionText": "IoT设备的功率足以直接控制水泵",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "执行器可以控制其它设备的电源",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "传感器可以立即检测到执行器的变化",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 14,
+				"title": "第7课 - 自动植物浇水：课后测验",
+				"quiz": [
+					{
+						"questionText": "继电器是什么类型的开关：",
+						"answerOptions": [
+							{
+								"answerText": "电子开关（Electrical）",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "机电开关（Electromechanical）",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "机械开关（Mechanical）",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "继电器允许：",
+						"answerOptions": [
+							{
+								"answerText": "低功率的设备控制高功率的设备",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "高功率的设备控制低功率的设备",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "运动员跑一场接力赛",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "执行器总是对传感器的读取立即做出反应",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 15,
+				"title": "第8课 - 将你的植物迁移到云端：课前测验",
+				"quiz": [
+					{
+						"questionText": "开放的MQTT消息代理适合用于商业IoT项目",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "云计算允许你：",
+						"answerOptions": [
+							{
+								"answerText": "只能租赁计算机",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "只能租赁计算机和应用平台",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "租赁计算机、应用平台、软件、无服务器计算平台以及其它服务",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "有多家云平台供应商拥有遍布六大洲许多国家的数据中心",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 16,
+				"title": "第8课 - 将你的植物迁移到云端：课后测验",
+				"quiz": [
+					{
+						"questionText": "为了控制执行器以及从IoT设备获取反馈，程序代码可以使用：",
+						"answerOptions": [
+							{
+								"answerText": "从设备到云平台的消息",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "设备孪生（device twins）",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "直接方法请求",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "任何设备都可以以不安全的方式连接IoT中心",
+						"answerOptions": [
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "IoT中心的名字必须是唯一的",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 17,
+				"title": "第9课 - 将你的应用程序逻辑迁移到云端：课前测验",
+				"quiz": [
+					{
+						"questionText": "无服务器计算代码可以用来回应IoT事件",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "当IoT事件发送到IoT中心：",
+						"answerOptions": [
+							{
+								"answerText": "只有一个服务可以从IoT中心读取事件",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "任意多的服务可以从IoT中心读取事件",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "服务无法从IoT中心读取事件，它们只能和设备直连",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "只有运行在云端的代码才能从IoT中心读取事件",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 18,
+				"title": "第9课 - 将你的应用程序逻辑迁移到云端：课后测验",
+				"quiz": [
+					{
+						"questionText": "Azure Functions可以在本地运行和调试",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "无服务器计算代码只能使用JavaScript和COBOL编写",
+						"answerOptions": [
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "为了部署Functions应用到云端，需要创建和部署：",
+						"answerOptions": [
+							{
+								"answerText": "仅Functions应用",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "仅Functions应用和存储账户",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Functions应用、存储账户以及应用程序配置",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 19,
+				"title": "第10课 - 确保你的植物安全：课前测验",
+				"quiz": [
+					{
+						"questionText": "IoT设备总是安全的",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "尚无充分证据表明黑客已成功利用IoT设备黑入网络",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "可以将IoT设备的connection string分享给任何人",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 20,
+				"title": "第10课 - 确保你的植物安全：课后测验",
+				"quiz": [
+					{
+						"questionText": "对称密钥加密相比于非对称密钥加密：",
+						"answerOptions": [
+							{
+								"answerText": "对称密钥加密比非对称密钥加密慢",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "对称密钥加密比非对称密钥加密安全",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "对称密钥加密比非对称密钥加密快，但相对不安全",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "对称密钥加密比非对称密钥加密慢，但相对安全",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "自签名的X.509证书适合生产环境",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "X.509证书：",
+						"answerOptions": [
+							{
+								"answerText": "不应该在IoT设备之间共享",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "可以在设备之间共享",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "应当妥善保管，不能被任何设备使用",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 21,
+				"title": "第11课 - 位置追踪：课前测验",
+				"quiz": [
+					{
+						"questionText": "可以使用什么标记你的位置",
+						"answerOptions": [
+							{
+								"answerText": "仅用纬度",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "仅用经度",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "经纬度",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "能够追踪位置信息的传感器叫做：",
+						"answerOptions": [
+							{
+								"answerText": "GPS",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "PGP",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "GIF",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "追踪车辆的位置信息是没有意义的",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 22,
+				"title": "第11课 - 位置追踪：课后测验",
+				"quiz": [
+					{
+						"questionText": "传感器如何传输GPS数据：",
+						"answerOptions": [
+							{
+								"answerText": "使用经纬度",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "使用地址",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "NMEA语句",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "至少需要几颗卫星GPS才能很好地定位你",
+						"answerOptions": [
+							{
+								"answerText": "1",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "2",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "3",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "GPS通过什么发生数据：",
+						"answerOptions": [
+							{
+								"answerText": "SPI接口",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "串口（UART）",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "电子邮件",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 23,
+				"title": "第12课 - 存储位置数据：课前测验",
+				"quiz": [
+					{
+						"questionText": "IoT数据保存在IoT中心",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "数据可被分为以下哪两类",
+						"answerOptions": [
+							{
+								"answerText": "二进制大对象（Blob）和表数据（table）",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "结构化数据（Structured data）和非结构化数据（Unstructured data）",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "红和蓝",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "可以使用无服务器计算代码将IoT数据写入数据库中",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 24,
+				"title": "第12课 - 存储位置数据：课后测验",
+				"quiz": [
+					{
+						"questionText": "需要被立即处理的IoT数据在哪个路径上：",
+						"answerOptions": [
+							{
+								"answerText": "热路径（Hot）",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "温路径（Warm）",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "冷路径（Cold）",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "Azure存储有下列的哪些类型：",
+						"answerOptions": [
+							{
+								"answerText": "盒子、桶、箱子",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "二进制大对象、表、队列和文件",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "热数据、温数据和冷数据",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "Azure Functions可以绑定到数据库以将返回值写入数据库",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 25,
+				"title": "第13课 - 可视化位置数据：课前测验",
+				"quiz": [
+					{
+						"questionText": "超级大的数据表是一个快速查找数据的简单方法",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "GPS数据可以在地图上可视化",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "在一个大的区域的地图上，无论从何处测量，地图上相同的距离总是代表现实世界的相同的距离",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 26,
+				"title": "第13课 - 可视化位置数据：课后测验",
+				"quiz": [
+					{
+						"questionText": "在网页上绘制地图的服务叫做",
+						"answerOptions": [
+							{
+								"answerText": "Azure地图（Azure Maps）",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "Azure Atlas",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Azure World Visualizer",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "Azure地图使用什么绘制数据：",
+						"answerOptions": [
+							{
+								"answerText": "GeoJSON",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "经纬度列表",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "地址列表",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "可以通过URL获取二进制大对象",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 27,
+				"title": "第14课 - 地理围栏：课前测验",
+				"quiz": [
+					{
+						"questionText": "可以使用GPS坐标检测物体是否在规定的区域里",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "当设备进入一个给定的区域时，GPS已经精确到能够提供一米以内的精度",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "在追踪车辆的时候地理围栏可以用作：",
+						"answerOptions": [
+							{
+								"answerText": "仅能用作确定车辆何时进入了给定的区域",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "仅能用作确定车辆何时离开了给定的区域",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "确定车辆何时进入或离开了给定的区域",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 28,
+				"title": "第14课 - 地理围栏：课后测验",
+				"quiz": [
+					{
+						"questionText": "为了让多个服务从IoT中心获取数据，你需要创建多个：",
+						"answerOptions": [
+							{
+								"answerText": "消费者群组（Consumer group）",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "管道（Pipe）",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "IoT中心（Hub）",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "一个地理围栏调用的默认搜索缓存是：",
+						"answerOptions": [
+							{
+								"answerText": "5m",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "50m",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "500m",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "地理围栏中点的距离：",
+						"answerOptions": [
+							{
+								"answerText": "小于0（一个负值）",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "大于0（一个正值）",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 29,
+				"title": "第15课 - 训练水果质量检测器：课前测验",
+				"quiz": [
+					{
+						"questionText": "摄像头可以用作IoT的传感器",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "可以用摄像头给水果分类",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "基于图像的人工智能（AI）模型十分的复杂，训练也十分费时，并且需要使用数以万计的图片数据",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 30,
+				"title": "第15课 - 训练水果质量检测器：课后测验",
+				"quiz": [
+					{
+						"questionText": "定制视觉使用的仅用少量图片训练模型的技术叫做：",
+						"answerOptions": [
+							{
+								"answerText": "转换学习（Transformational learning）",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "交易学习（Transaction learning）",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "迁移学习（Transfer learning）",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "图片分类的训练：",
+						"answerOptions": [
+							{
+								"answerText": "每个标签可以只用1张图片",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "每个标签至少5张图片",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "每个标签至少50张图片",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "能够快速训练机器学习（ML）模型，并能够让Xbox里的图像看上去非常华丽的硬件叫做",
+						"answerOptions": [
+							{
+								"answerText": "PGU",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "GPU",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "PUG",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 31,
+				"title": "第16课 - 从 IoT 设备检查水果质量：课前测验",
+				"quiz": [
+					{
+						"questionText": "IoT设备还没有强大到能够使用摄像头",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "摄像头的传感器使用胶片来捕捉图像",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "摄像头的传感器传递哪种类型的数据",
+						"answerOptions": [
+							{
+								"answerText": "数字数据",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "模拟数据",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 32,
+				"title": "第16课 - 从 IoT 设备检查水果质量：课后测验",
+				"quiz": [
+					{
+						"questionText": "自定义视觉的一个发布版本叫做：",
+						"answerOptions": [
+							{
+								"answerText": "迭代（Iteration）",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "实例（Instance）",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "蜥蜴",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "在给图片做分类的时候，可以用它们重新训练模型",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "不需要使用IoT设备采集的图像数据来训练模型，因为它的摄像头有和手机摄像头相同的质量",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 33,
+				"title": "第17课 - 在边缘上运行你的水果质量检测器：课前测验",
+				"quiz": [
+					{
+						"questionText": "边缘计算可以比云计算更加安全。",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "在边缘节点运行的机器学习模型没有在云端运行的机器学习模型准确。",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "边缘节点需要一直连着互联网。",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 34,
+				"title": "第17课 - 在边缘上运行你的水果质量检测器：课后测验",
+				"quiz": [
+					{
+						"questionText": "为了让Custom Vision的机器学习模型高效地运行在边缘节点，我们需要什么格式（或者说什么类型的领域（domain））？",
+						"answerOptions": [
+							{
+								"answerText": "通用类型",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "快速训练类型",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "标准（Standard）类型",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "紧凑（Compact）类型",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "食物领域",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "远端部署",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "容器（container）是什么？?",
+						"answerOptions": [
+							{
+								"answerText": "包含机器学习模型的自包含的应用程序。",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "和其它程序隔离的自包含的应用程序",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "只在边缘节点运行的自包含的应用程序.",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "处理云端和边缘节点通信的自包含的应用程序",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "如何重新训练部署在边缘节点的Custom Vision模型？",
+						"answerOptions": [
+							{
+								"answerText": "在边缘节点拍摄一张图片，并将其保存在边缘节点上，再将机器学习模型指向这个新的图片文件夹。",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "将图片从边缘节点上传到云端，在Custom Vision上重新训练模型，再将模型重新部署到边缘节点。",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "在边缘节点拍摄一张图片并检查模型的预测结果。",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 35,
+				"title": "第18课 - 从传感器触发水果质量检测：课前测验",
+				"quiz": [
+					{
+						"questionText": "IoT应用的哪个部分用来获取数据？",
+						"answerOptions": [
+							{
+								"answerText": "物（Things）",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "云服务（Cloud services）",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "边缘节点（Edge devices）",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "IoT应用唯一的输出是执行器。",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "Things不需要直接连接到IoT中心，它们可以使用边缘节点充当网关。",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 36,
+				"title": "第18课 - 从传感器触发水果质量检测：课后测验",
+				"quiz": [
+					{
+						"questionText": "构建IoT应用的三个组件是",
+						"answerOptions": [
+							{
+								"answerText": "物（Things），思维（Insights），行动（Actions）",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "物（Things），互联网（Internet），数据库（Databases）",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "人工智能（AI），区块链（Blockchain），叽叽喳喳（FizzBuzzers）",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "连接物（things）和可以创建思维（insights）的组件的组件叫做：",
+						"answerOptions": [
+							{
+								"answerText": "Azure Functions",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "IoT中心",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "Azure地图",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "基于飞时测距的接近传感器的工作原理是什么？",
+						"answerOptions": [
+							{
+								"answerText": "传感器发射激光束并测量从物体反射的时间",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "传感器使用声音并测量从物体表面反射的时间",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "传感器使用很长的尺子",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 37,
+				"title": "第19课 - 训练存货检测器：课前测验",
+				"quiz": [
+					{
+						"questionText": "人工智能不能用于给某个物体计数？",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "在零售领域，IoT和人工智能可以被用来：",
+						"answerOptions": [
+							{
+								"answerText": "只能用来检查库存",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "可以应用在很广泛的地方，包括库存检测，在需要的地方检测口罩的佩戴情况，统计客流量以及自动结账",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "IoT和人工智能不能用于零售领域",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "目标检测牵涉到：",
+						"answerOptions": [
+							{
+								"answerText": "检测图片中包含一个物体的概率并追踪其位置",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "只要给图片中的物体计数",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "图片分类",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 38,
+				"title": "第19课 - 训练存货检测器：课后测验",
+				"quiz": [
+					{
+						"questionText": "不管多少对象被检测到，目标检测程序只返回一个结果",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "为了盘点库存，Custom Vision中最适合的domain是什么",
+						"answerOptions": [
+							{
+								"answerText": "通用（General）",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "食物（Food）",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "货架上的商品（Products on shelves）",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "训练一个目标检测器至少需要多少张图片？",
+						"answerOptions": [
+							{
+								"answerText": "1",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "15",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "100",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 39,
+				"title": "第20课 - 从 IoT 设备检查存货：课前测验",
+				"quiz": [
+					{
+						"questionText": "IoT设备因不够强大而无法胜任目标检测的任务",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "目标检测程序返回：",
+						"answerOptions": [
+							{
+								"answerText": "检测到的物体的数量",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "检测到的物体的数量和位置",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "检测到的物体的数量、位置以及概率",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "目标检测程序可以用来检测哪里缺货了，并允许机器人自动补货",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 40,
+				"title": "第20课 - 从 IoT 设备检查存货：课后测验",
+				"quiz": [
+					{
+						"questionText": "为了盘点库存，只需要考虑目标检测程序检测到的物体的数量",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "边界框使用：",
+						"answerOptions": [
+							{
+								"answerText": "百分比坐标",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "像素坐标",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "厘米坐标",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "被检测的目标可以重合吗？",
+						"answerOptions": [
+							{
+								"answerText": "可以",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "不可以",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 41,
+				"title": "第21课 - 用 IoT 设备识别语音：课前测验",
+				"quiz": [
+					{
+						"questionText": "可以用 IoT 设备识别语音：",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "语音助理需要将所有的音频发送到云端进行处理",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "为了识别语音，IoT设备需要一个大的麦克风",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 42,
+				"title": "第21课 - 用 IoT 设备识别语音：课后测验",
+				"quiz": [
+					{
+						"questionText": "麦克风是什么类型的传感器？",
+						"answerOptions": [
+							{
+								"answerText": "数字",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "模拟",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "将语音波形转换为数字信号使用了：",
+						"answerOptions": [
+							{
+								"answerText": "脉冲编码调制",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "纯代码乘法",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "脉冲宽度最大化",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "1秒钟采样频率为16KHz，量化位数为16位的音频有多大？",
+						"answerOptions": [
+							{
+								"answerText": "1KB",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "16KB",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "32KB",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 43,
+				"title": "第22课 - 理解语言：课前测验",
+				"quiz": [
+					{
+						"questionText": "语言的理解牵涉到寻找特定的词汇",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "语言的理解牵涉到：",
+						"answerOptions": [
+							{
+								"answerText": "关注句子中一个个孤立的词汇并努力得到它们的含义",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "找到预先定义好的句子，并由此得到对应的含义",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "关注整个句子，并努力从词汇的上下文获取含义",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "云服务供应商有能够理解语言的人工智能服务",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 44,
+				"title": "第22课 - 理解语言：课后测验",
+				"quiz": [
+					{
+						"questionText": "为了被理解，句子需要被划分为：",
+						"answerOptions": [
+							{
+								"answerText": "想法（Ideas）和解释（explanations）",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "意图（Intents）和实体（entities）",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "石头和沙子",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "微软的语言理解服务叫做：",
+						"answerOptions": [
+							{
+								"answerText": "LUIS",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "Luigi",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "Jarvis",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "在句子“设定一个3分钟的定时器”中：",
+						"answerOptions": [
+							{
+								"answerText": "意图是3分钟，实体是定时器",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "意图是分钟，实体是3个定时器",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "意图是设定一个定时器，实体是3分钟",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 45,
+				"title": "第23课 - 设置计时器和提供口头反馈：课前测验",
+				"quiz": [
+					{
+						"questionText": "人工智能生成的语音单调且机械",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "人工智能模型只能生成美式英语的语音",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "人工智能模型可以将1234转换为哪种措辞的语音：",
+						"answerOptions": [
+							{
+								"answerText": "一二三四",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "一千两百三十四",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "取决于上下文，可以是“一二三四”或者“一千两百三十四”",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 46,
+				"title": "第23课 - 设置计时器和提供口头反馈：课后测验",
+				"quiz": [
+					{
+						"questionText": "生成语音的三个步骤是：",
+						"answerOptions": [
+							{
+								"answerText": "文本分析、理解分析、语音生成",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "文本分析、语言学分析、波形生成",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "单词分析、音频制作",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "可以训练一个语音生成模型使其听起来像一个特定的人。",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "编码语音的标记语言叫做：",
+						"answerOptions": [
+							{
+								"answerText": "SSML",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "MSSL",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "SpeechXML",
+								"isCorrect": "false"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 47,
+				"title": "第24课 - 支持多种语言：课前测验",
+				"quiz": [
+					{
+						"questionText": "语言理解只支持英语",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					},
+					{
+						"questionText": "人工智能语音转文本模型理解多种语言",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "人工智能翻译牵涉到将一个个单词转换为对应的译文",
+						"answerOptions": [
+							{
+								"answerText": "正确",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "错误",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			},
+			{
+				"id": 48,
+				"title": "第24课 - 支持多种语言：课后测验",
+				"quiz": [
+					{
+						"questionText": "机器翻译已经被研究了接近：",
+						"answerOptions": [
+							{
+								"answerText": "70年",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "17年",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "7年",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "人工智能语言翻译器被叫做：",
+						"answerOptions": [
+							{
+								"answerText": "傻瓜翻译器",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "神经翻译者（Neural translators）",
+								"isCorrect": "true"
+							},
+							{
+								"answerText": "什么也不叫 - 人工智能不能用作翻译",
+								"isCorrect": "false"
+							}
+						]
+					},
+					{
+						"questionText": "微软支持翻译哪种外星语言：",
+						"answerOptions": [
+							{
+								"answerText": "温州话",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "外星语",
+								"isCorrect": "false"
+							},
+							{
+								"answerText": "克林贡语",
+								"isCorrect": "true"
+							}
+						]
+					}
+				]
+			}
+		]
+	}
+]
\ No newline at end of file
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diff --git a/translations/README.bn.md b/translations/README.bn.md
index e4da16a1..b23cdea1 100644
--- a/translations/README.bn.md
+++ b/translations/README.bn.md
@@ -75,30 +75,30 @@
 
 |     | প্রজেক্ট        | কনসেপ্ট        | শিখনফল              | লেসন/পাঠ্য |
 | :-: | :----------: | :-------------: | ------------------- | :-----------: |
-| 01 | [IoT যাত্রার সূচনা](./1-getting-started) | IoT পরিচিতি    | প্রথম আইওটি ডিভাইস সেটআপ করার সময়ই আইওটি এর প্রাথমিক নীতিগুলি এবং আইওটি সল্যুশনের বেসিক বিষয়গুলো যেমনঃ সেন্সর এবং ক্লাউড সার্ভিস সংক্রান্ত বিষয়গুলো সম্পর্কে জ্ঞান অর্জন | [IoT পরিচিতি](../1-getting-started/lessons/1-introduction-to-iot/translations/README.bn.md) |
-| 02 | [IoT যাত্রার সূচনা](./1-getting-started) | IoT এর আরো গভীরে| আইওটি সিস্টেমের উপাদানগুলির পাশাপাশি মাইক্রোকন্ট্রোলার এবং সিঙ্গেল-বোর্ড কম্পিউটার সম্পর্কে জ্ঞান অর্জন | [IoT এর আরো গভীরে](../1-getting-started/lessons/2-deeper-dive/translations/README.bn.md) |
-| 03 | [IoT যাত্রার সূচনা](./1-getting-started) | সেন্সর এবং অ্যাকচুয়েটরের সাহায্যে বাহ্যিক জগতের সাথে যোগাযোগ| 'নাইটলাইট' প্রজেক্টটি করার সাথেই সমান্তরালে বাহ্যিক জগত থেকে ডেটা সংগ্রহ করার জন্য সেন্সর এবং প্রতিক্রিয়া জানাতে ব্যবহৃত অ্যাকচুয়েটর সম্পর্কে জ্ঞান অর্জন | [সেন্সর এবং অ্যাকচুয়েটরের সাহায্যে বাহ্যিক জগতের সাথে যোগাযোগ](../1-getting-started/lessons/3-sensors-and-actuators/translations/README.bn.md) |
-| 04 | [IoT যাত্রার সূচনা](./1-getting-started) | আইওটি ডিভাইসকে ইন্টারনেটে সংযুক্ত করা | এমকিউটিটি ব্রোকারের সাথে নাইটলাইটটি সংযুক্ত করে বার্তাগুলি প্রেরণ এবং গ্রহণ করতে আইওটি ডিভাইসটিকে কীভাবে ইন্টারনেটে সংযুক্ত করতে হবে সেই সংক্রান্ত জ্ঞান অর্জন | [আইওটি ডিভাইসকে ইন্টারনেটে সংযুক্তকরণ ](../1-getting-started/lessons/4-connect-internet/translations/README.bn.md) |
-| 05 | [ফার্ম](./2-farm) | আইওটি দ্বারা উদ্ভিদ বৃদ্ধির পূর্বাভাস | আইওটি ডিভাইস দ্বারা গৃহিত তাপমাত্রার ডেটা ব্যবহার করে কীভাবে উদ্ভিদ বৃদ্ধির পূর্বাভাস দেওয়া যায় তা শেখা | [আইওটি দ্বারা উদ্ভিদ বৃদ্ধির পূর্বাভাস](../2-farm/lessons/1-predict-plant-growth/translations/README.bn.md) |
-| 06 | [ফার্ম](./2-farm) | মাটির আর্দ্রতা নির্ণয় | কীভাবে মাটির আর্দ্রতা সনাক্ত করা যায় এবং তা করতে মাটির আর্দ্রতা সেন্সরটি কীভাবে ক্যালিব্রেট করতে হবে তা শেখা | [মাটির আর্দ্রতা নির্ণয়](../2-farm/lessons/2-detect-soil-moisture/translations/README.bn.md) |
-| 07 | [ফার্ম](./2-farm) | স্বয়ংক্রিয় সেচকার্য | রিলে এবং এমকিউটিটি ব্যবহার করে কীভাবে স্বয়ংক্রিয়ভাবে এবং নির্দিষ্ট সময়ে সেচ দেয়া যায় সে সংক্রান্ত জ্ঞান অর্জন | [স্বয়ংক্রিয় সেচকার্য](../2-farm/lessons/3-automated-plant-watering/translations/README.bn.md) |
-| 08 | [ফার্ম](./2-farm) | উদ্ভিদকে ক্লাউডে সংযুক্ত করা | ক্লাউড এবং ক্লাউড-হোস্ট করা আইওটি পরিষেবাগুলি সম্পর্কে জ্ঞান অর্জন এবং কীভাবে আমাদের উদ্ভিদটিকে পাবলিক এমকিউটিটি ব্রোকারের পরিবর্তে ক্লাউডে সংযুক্ত করতে হবে তা শেখা | [উদ্ভিদকে ক্লাউডে সংযুক্ত করা](../2-farm/lessons/4-migrate-your-plant-to-the-cloud/translations/README.bn.md) |
-| 09 | [ফার্ম](./2-farm) | অ্যাপ্লিকেশন লজিককে ক্লাউডে স্থানান্তর | ক্লাউডে কীভাবে অ্যাপ্লিকেশন লজিক লিখতে হবে যাতে তা আইওটি ম্যাসেজের প্রতিক্রিয়া জানাতে পারে তা শেখা| [অ্যাপ্লিকেশন লজিককে ক্লাউডে স্থানান্তর](../2-farm/lessons/5-migrate-application-to-the-cloud/translations/README.bn.md) |
-| 10 | [ফার্ম](./2-farm) | Keep your plant secure | আইওটি তে নিরাপত্তা সম্পর্কে জানা এবং Key ও Certificate এর সাহায্যে আমাদের উদ্ভিদটিকে কীভাবে সুরক্ষিত রাখা যায় তা শেখা | [Keep your plant secure](./2-farm/lessons/6-keep-your-plant-secure/README.md) |
-| 11 | [পরিবহন](./3-transport) | Location tracking | আইওটি ডিভাইসে জিপিএস লোকেশন ট্র্যাকিং শেখা | [Location tracking](./3-transport/lessons/1-location-tracking/README.md) |
-| 12 | [পরিবহন](./3-transport) | Store location data | পরবর্তী সময়ে বিশ্লেষণ বা চিত্রভিত্তিক ডেটা প্রদর্শন (Visualization) এর জন্য আইওটি ডেটা কীভাবে স্টোর করা যায় তা জানা | [Store location data](./3-transport/lessons/2-store-location-data/README.md) |
-| 13 | [পরিবহন](./3-transport) | Visualize location data |মানচিত্রে অবস্থানের ডেটা প্রদর্শন করা এবং মানচিত্রগুলি কীভাবে ২টি মাত্রায় বাস্তব ত্রিমাত্রিক বিশ্বের উপস্থাপন করে সে সম্পর্কে জ্ঞান অর্জন | [Visualize location data](./3-transport/lessons/3-visualize-location-data/README.md) |
-| 14 | [পরিবহন](./3-transport) | Geofences | Geofences সম্পর্কে জানা এবং কীভাবে এটি ব্যবহার করে সাপ্লাই চেইনের বিভিন্ন পর্যায়ের বাহনগুলো যখন গন্তব্যের কাছাকাছি পৌঁছায় তখন এলার্ট দেয়া যায় তা শেখা | [Geofences](./3-transport/lessons/4-geofences/README.md) |
-| 15 | [উৎপাদন](./4-manufacturing) | Train a fruit quality detector | ক্লাউডের ছবি শ্রেণিবদ্ধকরণ মডেলকে (Image Classifier) ফলের মান সনাক্ত করতে  কীভাবে প্রশিক্ষিত করতে হবে সে সম্পর্কে জানা | [Train a fruit quality detector](./4-manufacturing/lessons/1-train-fruit-detector/README.md) |
-| 16 | [উৎপাদন](./4-manufacturing) | Check fruit quality from an IoT device | আইওটি ডিভাইসে ফলের গুণগত মান সনাক্তকারী ব্যবহার | [Check fruit quality from an IoT device](./4-manufacturing/lessons/2-check-fruit-from-device/README.md) |
-| 17 | [উৎপাদন](./4-manufacturing) | Run your fruit detector on the edge | ফলের গুণগত মান সনাক্তকারীকে Edge হিসেবে ব্যবহার | [Run your fruit detector on the edge](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md) |
-| 18 | [উৎপাদন](./4-manufacturing) | Trigger fruit quality detection from a sensor | সেন্সর থেকে ফলের গুণাগুণ সনাক্তকরণ নিয়ন্ত্রণ করা শেখা| [Trigger fruit quality detection from a sensor](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md) |
-| 19 | [খুচরাপর্যায়](./5-retail) | Train a stock detector | কোনও দোকানে স্টক গণনা করতে স্টক ডিটেক্টরকে প্রশিক্ষণ দেওয়ার জন্য কীভাবে অবজেক্ট সনাক্তকরণ ব্যবহার করা যায় তা শেখা | [Train a stock detector](./5-retail/lessons/1-train-stock-detector/README.md) |
-| 20 | [খুচরাপর্যায়](./5-retail) | Check stock from an IoT device | কোন অবজেক্ট সনাক্তকরণ মডেল ব্যবহার করে আইওটি ডিভাইস থেকে স্টক পর্যবেক্ষণ করা শেখা  | [Check stock from an IoT device](./5-retail/lessons/2-check-stock-device/README.md)  |
-| 21 | [খুচরাপর্যায়](./6-consumer) | Recognize speech with an IoT device | আইওটি ডিভাইস থেকে বক্তব্য (speech) সনাক্ত করে স্মার্ট টাইমার তৈরী করা | [Recognize speech with an IoT device](./6-consumer/lessons/1-speech-recognition/README.md) |
-| 22 | [ভোক্তাপর্যায়](./6-consumer) | Understand language | আইওটি ডিভাইসকে কীভাবে কথা বোঝাতে হয় তা শেখা | [Understand language](./6-consumer/lessons/2-language-understanding/README.md) |
-| 23 | [ভোক্তাপর্যায়](./6-consumer) | Set a timer and provide spoken feedback | আইওটি ডিভাইসে কীভাবে টাইমার সেট করতে হয় এবং টাইমার কখন সেট হয় এবং তা কখন শেষ হয় সে বিষয়ে কথিত  প্রতিক্রিয়া যেন সেই আইওটি ডিভাইস জানাতে পারে তা শেখা | [Set a timer and provide spoken feedback](./6-consumer/lessons/3-spoken-feedback/README.md) |
-| 24 | [ভোক্তাপর্যায়](./6-consumer) | Support multiple languages | কীভাবে আইওটি ডিভাইসে নির্দেশ দেয়া এবং স্মার্ট টাইমার থেকে আসা প্রতিক্রিয়া উভয়েই একাধিক ভাষা সাপোর্ট করানো যায় তা শেখা | [Support multiple languages](./6-consumer/lessons/4-multiple-language-support/README.md) |
+| 01 | [IoT যাত্রার সূচনা](../1-getting-started) | IoT পরিচিতি    | প্রথম আইওটি ডিভাইস সেটআপ করার সময়ই আইওটি এর প্রাথমিক নীতিগুলি এবং আইওটি সল্যুশনের বেসিক বিষয়গুলো যেমনঃ সেন্সর এবং ক্লাউড সার্ভিস সংক্রান্ত বিষয়গুলো সম্পর্কে জ্ঞান অর্জন | [IoT পরিচিতি](../1-getting-started/lessons/1-introduction-to-iot/translations/README.bn.md) |
+| 02 | [IoT যাত্রার সূচনা](../1-getting-started) | IoT এর আরো গভীরে| আইওটি সিস্টেমের উপাদানগুলির পাশাপাশি মাইক্রোকন্ট্রোলার এবং সিঙ্গেল-বোর্ড কম্পিউটার সম্পর্কে জ্ঞান অর্জন | [IoT এর আরো গভীরে](../1-getting-started/lessons/2-deeper-dive/translations/README.bn.md) |
+| 03 | [IoT যাত্রার সূচনা](../1-getting-started) | সেন্সর এবং অ্যাকচুয়েটরের সাহায্যে বাহ্যিক জগতের সাথে যোগাযোগ| 'নাইটলাইট' প্রজেক্টটি করার সাথেই সমান্তরালে বাহ্যিক জগত থেকে ডেটা সংগ্রহ করার জন্য সেন্সর এবং প্রতিক্রিয়া জানাতে ব্যবহৃত অ্যাকচুয়েটর সম্পর্কে জ্ঞান অর্জন | [সেন্সর এবং অ্যাকচুয়েটরের সাহায্যে বাহ্যিক জগতের সাথে যোগাযোগ](../1-getting-started/lessons/3-sensors-and-actuators/translations/README.bn.md) |
+| 04 | [IoT যাত্রার সূচনা](../1-getting-started) | আইওটি ডিভাইসকে ইন্টারনেটে সংযুক্ত করা | এমকিউটিটি ব্রোকারের সাথে নাইটলাইটটি সংযুক্ত করে বার্তাগুলি প্রেরণ এবং গ্রহণ করতে আইওটি ডিভাইসটিকে কীভাবে ইন্টারনেটে সংযুক্ত করতে হবে সেই সংক্রান্ত জ্ঞান অর্জন | [আইওটি ডিভাইসকে ইন্টারনেটে সংযুক্তকরণ ](../1-getting-started/lessons/4-connect-internet/translations/README.bn.md) |
+| 05 | [ফার্ম](../2-farm) | আইওটি দ্বারা উদ্ভিদ বৃদ্ধির পূর্বাভাস | আইওটি ডিভাইস দ্বারা গৃহিত তাপমাত্রার ডেটা ব্যবহার করে কীভাবে উদ্ভিদ বৃদ্ধির পূর্বাভাস দেওয়া যায় তা শেখা | [আইওটি দ্বারা উদ্ভিদ বৃদ্ধির পূর্বাভাস](../2-farm/lessons/1-predict-plant-growth/translations/README.bn.md) |
+| 06 | [ফার্ম](../2-farm) | মাটির আর্দ্রতা নির্ণয় | কীভাবে মাটির আর্দ্রতা সনাক্ত করা যায় এবং তা করতে মাটির আর্দ্রতা সেন্সরটি কীভাবে ক্যালিব্রেট করতে হবে তা শেখা | [মাটির আর্দ্রতা নির্ণয়](../2-farm/lessons/2-detect-soil-moisture/translations/README.bn.md) |
+| 07 | [ফার্ম](../2-farm) | স্বয়ংক্রিয় সেচকার্য | রিলে এবং এমকিউটিটি ব্যবহার করে কীভাবে স্বয়ংক্রিয়ভাবে এবং নির্দিষ্ট সময়ে সেচ দেয়া যায় সে সংক্রান্ত জ্ঞান অর্জন | [স্বয়ংক্রিয় সেচকার্য](../2-farm/lessons/3-automated-plant-watering/translations/README.bn.md) |
+| 08 | [ফার্ম](../2-farm) | উদ্ভিদকে ক্লাউডে সংযুক্ত করা | ক্লাউড এবং ক্লাউড-হোস্ট করা আইওটি পরিষেবাগুলি সম্পর্কে জ্ঞান অর্জন এবং কীভাবে আমাদের উদ্ভিদটিকে পাবলিক এমকিউটিটি ব্রোকারের পরিবর্তে ক্লাউডে সংযুক্ত করতে হবে তা শেখা | [উদ্ভিদকে ক্লাউডে সংযুক্ত করা](../2-farm/lessons/4-migrate-your-plant-to-the-cloud/translations/README.bn.md) |
+| 09 | [ফার্ম](../2-farm) | অ্যাপ্লিকেশন লজিককে ক্লাউডে স্থানান্তর | ক্লাউডে কীভাবে অ্যাপ্লিকেশন লজিক লিখতে হবে যাতে তা আইওটি ম্যাসেজের প্রতিক্রিয়া জানাতে পারে তা শেখা| [অ্যাপ্লিকেশন লজিককে ক্লাউডে স্থানান্তর](../2-farm/lessons/5-migrate-application-to-the-cloud/translations/README.bn.md) |
+| 10 | [ফার্ম](../2-farm) | উদ্ভিদের নিরাপত্তা নিশ্চিতকরণ | আইওটি তে নিরাপত্তা সম্পর্কে জানা এবং Key ও Certificate এর সাহায্যে আমাদের উদ্ভিদটিকে কীভাবে সুরক্ষিত রাখা যায় তা শেখা | [উদ্ভিদের নিরাপত্তা নিশ্চিতকরণ](../2-farm/lessons/6-keep-your-plant-secure/translations/README.bn.md) |
+| 11 | [পরিবহন](../3-transport) | Location tracking | আইওটি ডিভাইসে জিপিএস লোকেশন ট্র্যাকিং শেখা | [Location tracking](../3-transport/lessons/1-location-tracking/README.md) |
+| 12 | [পরিবহন](../3-transport) | Store location data | পরবর্তী সময়ে বিশ্লেষণ বা চিত্রভিত্তিক ডেটা প্রদর্শন (Visualization) এর জন্য আইওটি ডেটা কীভাবে স্টোর করা যায় তা জানা | [Store location data](../3-transport/lessons/2-store-location-data/README.md) |
+| 13 | [পরিবহন](../3-transport) | Visualize location data |মানচিত্রে অবস্থানের ডেটা প্রদর্শন করা এবং মানচিত্রগুলি কীভাবে ২টি মাত্রায় বাস্তব ত্রিমাত্রিক বিশ্বের উপস্থাপন করে সে সম্পর্কে জ্ঞান অর্জন | [Visualize location data](../3-transport/lessons/3-visualize-location-data/README.md) |
+| 14 | [পরিবহন](../3-transport) | Geofences | Geofences সম্পর্কে জানা এবং কীভাবে এটি ব্যবহার করে সাপ্লাই চেইনের বিভিন্ন পর্যায়ের বাহনগুলো যখন গন্তব্যের কাছাকাছি পৌঁছায় তখন এলার্ট দেয়া যায় তা শেখা | [Geofences](../3-transport/lessons/4-geofences/README.md) |
+| 15 | [উৎপাদন](../4-manufacturing) | Train a fruit quality detector | ক্লাউডের ছবি শ্রেণিবদ্ধকরণ মডেলকে (Image Classifier) ফলের মান সনাক্ত করতে  কীভাবে প্রশিক্ষিত করতে হবে সে সম্পর্কে জানা | [Train a fruit quality detector](../4-manufacturing/lessons/1-train-fruit-detector/README.md) |
+| 16 | [উৎপাদন](../4-manufacturing) | Check fruit quality from an IoT device | আইওটি ডিভাইসে ফলের গুণগত মান সনাক্তকারী ব্যবহার | [Check fruit quality from an IoT device](../4-manufacturing/lessons/2-check-fruit-from-device/README.md) |
+| 17 | [উৎপাদন](../4-manufacturing) | Run your fruit detector on the edge | ফলের গুণগত মান সনাক্তকারীকে Edge হিসেবে ব্যবহার | [Run your fruit detector on the edge](../4-manufacturing/lessons/3-run-fruit-detector-edge/README.md) |
+| 18 | [উৎপাদন](../4-manufacturing) | Trigger fruit quality detection from a sensor | সেন্সর থেকে ফলের গুণাগুণ সনাক্তকরণ নিয়ন্ত্রণ করা শেখা| [Trigger fruit quality detection from a sensor](../4-manufacturing/lessons/4-trigger-fruit-detector/README.md) |
+| 19 | [খুচরাপর্যায়](../5-retail) | Train a stock detector | কোনও দোকানে স্টক গণনা করতে স্টক ডিটেক্টরকে প্রশিক্ষণ দেওয়ার জন্য কীভাবে অবজেক্ট সনাক্তকরণ ব্যবহার করা যায় তা শেখা | [Train a stock detector](../5-retail/lessons/1-train-stock-detector/README.md) |
+| 20 | [খুচরাপর্যায়](../5-retail) | Check stock from an IoT device | কোন অবজেক্ট সনাক্তকরণ মডেল ব্যবহার করে আইওটি ডিভাইস থেকে স্টক পর্যবেক্ষণ করা শেখা  | [Check stock from an IoT device](../5-retail/lessons/2-check-stock-device/README.md)  |
+| 21 | [খুচরাপর্যায়](../6-consumer) | Recognize speech with an IoT device | আইওটি ডিভাইস থেকে বক্তব্য (speech) সনাক্ত করে স্মার্ট টাইমার তৈরী করা | [Recognize speech with an IoT device](../6-consumer/lessons/1-speech-recognition/README.md) |
+| 22 | [ভোক্তাপর্যায়](../6-consumer) | Understand language | আইওটি ডিভাইসকে কীভাবে কথা বোঝাতে হয় তা শেখা | [Understand language](../6-consumer/lessons/2-language-understanding/README.md) |
+| 23 | [ভোক্তাপর্যায়](../6-consumer) | Set a timer and provide spoken feedback | আইওটি ডিভাইসে কীভাবে টাইমার সেট করতে হয় এবং টাইমার কখন সেট হয় এবং তা কখন শেষ হয় সে বিষয়ে কথিত  প্রতিক্রিয়া যেন সেই আইওটি ডিভাইস জানাতে পারে তা শেখা | [Set a timer and provide spoken feedback](../6-consumer/lessons/3-spoken-feedback/README.md) |
+| 24 | [ভোক্তাপর্যায়](../6-consumer) | Support multiple languages | কীভাবে আইওটি ডিভাইসে নির্দেশ দেয়া এবং স্মার্ট টাইমার থেকে আসা প্রতিক্রিয়া উভয়েই একাধিক ভাষা সাপোর্ট করানো যায় তা শেখা | [Support multiple languages](../6-consumer/lessons/4-multiple-language-support/README.md) |
 
 ## অফলাইন ব্যবহার
 
@@ -126,4 +126,4 @@ npm run convert
 
 ## চিত্রের Attributions
 
-এই পাঠ্যক্রমটিতে ব্যবহৃত ছবিগুলির জন্য সকল এট্রিবিউট পাওয়া যাবে [Attributions](./attributions.md) ফোল্ডারটিতে ।
+এই পাঠ্যক্রমটিতে ব্যবহৃত ছবিগুলির জন্য সকল এট্রিবিউট পাওয়া যাবে [Attributions](../attributions.md) ফোল্ডারটিতে ।
diff --git a/translations/README.tr.md b/translations/README.tr.md
index 0b66160d..cfda4ec7 100644
--- a/translations/README.tr.md
+++ b/translations/README.tr.md
@@ -13,28 +13,26 @@
 [![Chinese](https://img.shields.io/badge/-Chinese-yellow)](README.zh-cn.md)
 
 # Yeni Başlayanlar için IOT
+
 Microsoft'tan Azure Cloud Advocates size IOT temelleri hakkında 12 haftalık 24 dersten oluşan programı zevkle sunar. Her ders ön-quiz, dersi tamamlamanız için talimatlar, bir çözüm, bir ödev ve ders sonrası quiz içerir. Proje tabanlı pedogojimiz öğrenirken bir şeyler oluşturmanıza izin verecek. Bu, ispanlanmıştır ki yeni becerileri adeta size "yapıştıracak".
 
 Projeler, yemeğimizin çiftlikten sofralara olan yolculuğuyla ilgili. Buna; tarım, taşımacılık, işleme, satış, müşteriler gibi IOT cihazları için tüm popüler endüstri alanları dahildir.
 
-
-![Girişi, çiftçiliği, taşımacılığı, işlemeyi, satışı ve pişirmeyi kapsayan 24 dersin yol haritası](sketchnotes/Roadmap.jpg)
-
+![Girişi, çiftçiliği, taşımacılığı, işlemeyi, satışı ve pişirmeyi kapsayan 24 dersin yol haritası](../sketchnotes/Roadmap.jpg)
 
 > [Nitya Narasimhan](https://github.com/nitya) 'dan taslak notu. Daha büyük hali için resme tıklayın
 
-
 **Yazarlarımıza en kalbi duygularla teşekkür ederiz [Jen Fox](https://github.com/jenfoxbot), [Jen Looper](https://github.com/jlooper), [Jim Bennett](https://github.com/jimbobbennett), ve taslak notu için [Nitya Narasimhan](https://github.com/nitya) 'a**
 
 **[Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) ekibimize de teşekkür edriz. Dersleri gözden geçirenler ve çeşitli dillere çevirenler - [Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), and [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
 
 Takımla tnışın!
 
-[![Tanıtım videosu](./images/iot-for-beginners.png)](https://youtu.be/-wippUJRi5k)
+[![Tanıtım videosu](../images/iot-for-beginners.png)](https://youtu.be/-wippUJRi5k)
 
 > 🎥  Proje hakkındaki video için yukarıdaki resme tıklayın!
 
-> **Öğretmenler**, için bu dersleri nasıl kullancaklarına dair [bazı öneriler](for-teachers.md). Eğer kendi derslerinizi oluşturmak istiyorsanız [ders taslağı](lesson-template/README.md) ekledik. 
+> **Öğretmenler**, için bu dersleri nasıl kullancaklarına dair [bazı öneriler](../for-teachers.md). Eğer kendi derslerinizi oluşturmak istiyorsanız [ders taslağı](../lesson-template/README.md) ekledik. 
 
 > **Öğrenciler**,bu dersleri kendiniz için kullanmak istiyorsanız tüm repo'yu fork'layın ve tüm egzersizleri bitirin. Ön-quizlerle başlayın, sonra bölümü okuyun ve kalan etkinlikleri bitirin. Çözüm için kodu kopyalamaktansa kendiniz projeler oluşturun ve anlayın, ama çözüm kodları her proje tabanlı ders içerisinde /sollutions klasörünün içindedir. Başka bir fikir de arkadaşlarınızla çalışma grupları oluşturmak ve beraber gitmektir. Daha fazla çalışma için [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
 
@@ -56,9 +54,9 @@ Her proje öğrencilerde ve hobicilerde bulunan gerçek donanımlara dayanır. H
 
 ## Hardware
 
-We have two choices of IoT hardware to use for the projects depending on personal preference, programming language knowledge or preferences, learning goals and availability. We have also provided a 'virtual hardware' version for those who don't have access to hardware, or want to learn more before committing to a purchase. You can read more and find a 'shopping list' on the [hardware page](./hardware.md), including links to buy complete kits from our friends at Seeed Studio.
+We have two choices of IoT hardware to use for the projects depending on personal preference, programming language knowledge or preferences, learning goals and availability. We have also provided a 'virtual hardware' version for those who don't have access to hardware, or want to learn more before committing to a purchase. You can read more and find a 'shopping list' on the [hardware page](../hardware.md), including links to buy complete kits from our friends at Seeed Studio.
 
-> 💁 Find our [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), and [Translation](TRANSLATIONS.md) guidelines. We welcome your constructive feedback!
+> 💁 Find our [Code of Conduct](../CODE_OF_CONDUCT.md), [Contributing](../CONTRIBUTING.md), and [Translation](../TRANSLATIONS.md) guidelines. We welcome your constructive feedback!
 
 ## Her ders şunları içerir:
 
@@ -79,33 +77,34 @@ We have two choices of IoT hardware to use for the projects depending on persona
 
 |     | Proje Adı | Öğretilen Kavramlar | Hedeflenen Konular | Bağlantılı Ders |
 | :-: | :----------: | :-------------: | ------------------- | :-----------: |
-| 01 | [Başlangıç](./1-getting-started) | Nesnelerin internetine giriş |İlk IoT cihazınızı yaparken, IoT'nin temel ilkelerini, sensörler ve bulut hizmetleri gibi IoT çözümlerinin temellerini öğrenin. | [Nesnelerin internetine giriş](./1-getting-started/lessons/1-introduction-to-iot/README.md) |
-| 02 | [Başlangıç](./1-getting-started) | IOT'ye daha derin bir dalış | IoT sistemlerinin bileşenleri hakkında daha fazlasını öğrenin hem de mikro işlemcileri ve tek-kart bilgisayarları | [IOT'ye daha derin bir dalış](./1-getting-started/lessons/2-deeper-dive/README.md) |
-| 03 | [Başlangıç](./1-getting-started) | Sensörler ve aktüatörler ile gerçek dünyayla etkileşin | Gece lambası inşa ederken sensörlerin fiziksel dünyadan veri toplamalarını ve aktüatörler in tepki vermelerini öğrenin L | [Sensörler ve aktüatörler ile gerçek dünyayla etkileşin](./1-getting-started/lessons/3-sensors-and-actuators/README.md) |
-| 04 | [Başlangıç](./1-getting-started) | Devrenizi internete bağlayın | Devrelerin internete nasıl bağlandığını ve internetten nasıl mesaj aldıklarını gece lambanızı MQTT'ye bağlayarak öğrenin. | [Devrenizi internete bağlayın](./1-getting-started/lessons/4-connect-internet/README.md) |
-| 05 | [Çiftlik](./2-farm) | Bitkinin büyümesini tahmin edin | IoT devresiyle toplanan sıcaklık verisinin bitki büyümesini tahmin etmede nasıl kullanıldığını öğrenin | [Bitkinin büyümesini tahmin edin](./2-farm/lessons/1-predict-plant-growth/README.md) |
-| 06 | [Çiftlik](./2-farm) | Toprak nemini algılayın | Toprak neminin nasıl tespit edildiğini ve toprak nem sensörünün nasıl kalibre edildiğini öğrenin. | [Toprak nemini algılayın](./2-farm/lessons/2-detect-soil-moisture/README.md) |
-| 07 | [Çiftlik](./2-farm) | Otomatik Bitki Sulama| Sulamanın nasıl otomatikleştirildiğini bir röle ve MQTT kullanarak öğrenin | [Otomatik Bitki Sulama](./2-farm/lessons/3-automated-plant-watering/README.md) |
-| 08 | [Çiftlik](./2-farm) | Bitkinizi buluta taşıyın | Bulut tabanlı IOT servislerini ve MQTT yerine bunları kullanmayı öğrenin | [Bitkinizi buluta taşıyın](./2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md) |
-| 09 | [Çiftlik](./2-farm) | Uygulama mantığını buluta taşıyın | IOT mesajlarını bulutta cevaplayan ugulama mantığı nasıl yazılır | [Uygulama mantığını buluta taşıyın](./2-farm/lessons/5-migrate-application-to-the-cloud/README.md) |
-| 10 | [Çiftlik](./2-farm) | Bitkinizi güvende tutun | IoT'nin güvenliğini ve bitkinizi anahtarlarla ve sertifikalarla güvende tutmayı öğrenin | [Bitkinizi güvende tutun](./2-farm/lessons/6-keep-your-plant-secure/README.md) |
-| 11 | [Nakliyat](./3-transport) | Konum takibi | GPS ile IoT cihazlarını takip etmeyi öğrenin. | [Konum takibi](./3-transport/lessons/1-location-tracking/README.md) |
-| 12 | [Nakliyat](./3-transport) | Konum bilgilerini depolayın | IoT verilerinin sonradan görselleştirilme ve analiz için nasıl saklandığını öğrenin | [Konum bilgilerini depolayın](./3-transport/lessons/2-store-location-data/README.md) |
-| 13 | [Nakliyat](./3-transport) | Konum verilerini görselleştirin | Konum verisini harita üzerinde görselleştirmeyi ve haritaların 3 boyutlu dünyamızı nasıl 2 boyutlu gösterdiğini öğrenin | [Konum verilerini görselleştirin](./3-transport/lessons/3-visualize-location-data/README.md) |
-| 14 | [Nakliyat](./3-transport) | Coğrafi Sınırlar | Coğrafi sınırları, tedarik zincirindeki araçları hedefe yaklaştıklarında uyarmak için coğrafi sınırları nasıl kullanacağınızı öğrenin. | [Coğrafi Sınırlar](./3-transport/lessons/4-geofences/README.md) |
-| 15 | [Üretim](./4-manufacturing) | Meyve kalite kontrolcüsünü eğitin | Meyvelerin kalitesini kontrol etmek için buluttaki bir resim sınıflandırma algoritmasını eğitmeyi öğrenin. | [Meyve kalite algılayıcısını eğitin](./4-manufacturing/lessons/1-train-fruit-detector/README.md) |
-| 16 | [Üretim](./4-manufacturing) | IoT devresinden meyvelerin kalitesini kontrol edin | Meyve kalitesini IoT cihazınızdan nasıl kontrol edeceğinizi öğrenin | [IoT devresinden meyvelerin kalitesini kontrol edin](./4-manufacturing/lessons/2-check-fruit-from-device/README.md) |
-| 17 | [Üretim](./4-manufacturing) |Meyve dedektörünüzü bir köşede çalıştırın| Meyve dedektörünüzü ve IoT devrelerini bir köşede nasıl çalıştıracağınızı öğrenin. | [Meyve dedektörünüzü bir köşede çalıştırın](./4-manufacturing/lessons/3-run-fruit-detector-edge/README.md) |
-| 18 | [Üretim](./4-manufacturing) | Bir sensörden meyve kalitesini algılamayı tetikleyin | Bir sensörden meyve kalitesinin algılanmasını nasıl tetikleyebileceğinizi öğrenin. | [Bir sensörden meyve kalitesini algılamayı tetikleyin](./4-manufacturing/lessons/4-trigger-fruit-detector/README.md) |
-| 19 | [Perakende](./5-retail) | Stok dedektörünü eğitin | Marketinizdeki stoğu sayması için nesne tanıyan dedektörün nasıl eğitildiğini öğrenin | [Stok dedektörünü eğitin](./5-retail/lessons/1-train-stock-detector/README.md) |
-| 20 | [Perakende](./5-retail) | Stokları IoT cihazınız ile kontrol edin | Stokları nesne tanıyan IoT cihazınız ile kontrol etmeyi öğrenin | [CStokları IoT cihazınız ile kontrol edin](./5-retail/lessons/2-check-stock-device/README.md)  |
-| 21 | [Tüketici](./6-consumer) | IoT cihazınız ile konuşma tanıyın | Akıllı bir zamanlayıcı oluşturmak için IoT cihazınızla konuşma tanıyacağınızı öğrenin. | [IoT cihazınız ile konuşma tanıyın ](./6-consumer/lessons/1-speech-recognition/README.md) |
-| 22 | [Tüketici](./6-consumer) | Dili anlayın | IoT cihazınızın konuşulan cümleleri nasıl anladığını öğrenin | [Dili anlayın](./6-consumer/lessons/2-language-understanding/README.md) |
-| 23 | [Tüketici](./6-consumer) | Bir zamanlayıcı kurun ve konuşturun | IoT cihazları için nasıl zamanlayıcı oluşturmayı ve zamanlayıcı kurulup çalıştıktan sonra  IoT cihazlarına konuşarak geri bildirim verdirmeyi öğrenin.| [Bir zamanlayıcı kurun ve konuşturun](./6-consumer/lessons/3-spoken-feedback/README.md) |
-| 24 | [Tüketici](./6-consumer) | Çoklu dil desteği | Hem konuşulan hem de geri bildirim için zamanlayıcınıza nasıl çoklu dil desteği sunulduğunu öğrenin | [Çoklu dil desteği](./6-consumer/lessons/4-multiple-language-support/README.md) |
+| 01 | [Başlangıç](../1-getting-started) | Nesnelerin internetine giriş |İlk IoT cihazınızı yaparken, IoT'nin temel ilkelerini, sensörler ve bulut hizmetleri gibi IoT çözümlerinin temellerini öğrenin. | [Nesnelerin internetine giriş](../1-getting-started/lessons/1-introduction-to-iot/README.md) |
+| 02 | [Başlangıç](../1-getting-started) | IOT'ye daha derin bir dalış | IoT sistemlerinin bileşenleri hakkında daha fazlasını öğrenin hem de mikro işlemcileri ve tek-kart bilgisayarları | [IOT'ye daha derin bir dalış](../1-getting-started/lessons/2-deeper-dive/README.md) |
+| 03 | [Başlangıç](../1-getting-started) | Sensörler ve aktüatörler ile gerçek dünyayla etkileşin | Gece lambası inşa ederken sensörlerin fiziksel dünyadan veri toplamalarını ve aktüatörler in tepki vermelerini öğrenin L | [Sensörler ve aktüatörler ile gerçek dünyayla etkileşin](../1-getting-started/lessons/3-sensors-and-actuators/README.md) |
+| 04 | [Başlangıç](../1-getting-started) | Devrenizi internete bağlayın | Devrelerin internete nasıl bağlandığını ve internetten nasıl mesaj aldıklarını gece lambanızı MQTT'ye bağlayarak öğrenin. | [Devrenizi internete bağlayın](../1-getting-started/lessons/4-connect-internet/README.md) |
+| 05 | [Çiftlik](../2-farm) | Bitkinin büyümesini tahmin edin | IoT devresiyle toplanan sıcaklık verisinin bitki büyümesini tahmin etmede nasıl kullanıldığını öğrenin | [Bitkinin büyümesini tahmin edin](../2-farm/lessons/1-predict-plant-growth/README.md) |
+| 06 | [Çiftlik](../2-farm) | Toprak nemini algılayın | Toprak neminin nasıl tespit edildiğini ve toprak nem sensörünün nasıl kalibre edildiğini öğrenin. | [Toprak nemini algılayın](../2-farm/lessons/2-detect-soil-moisture/README.md) |
+| 07 | [Çiftlik](../2-farm) | Otomatik Bitki Sulama| Sulamanın nasıl otomatikleştirildiğini bir röle ve MQTT kullanarak öğrenin | [Otomatik Bitki Sulama](../2-farm/lessons/3-automated-plant-watering/README.md) |
+| 08 | [Çiftlik](../2-farm) | Bitkinizi buluta taşıyın | Bulut tabanlı IOT servislerini ve MQTT yerine bunları kullanmayı öğrenin | [Bitkinizi buluta taşıyın](../2-farm/lessons/4-migrate-your-plant-to-the-cloud/README.md) |
+| 09 | [Çiftlik](../2-farm) | Uygulama mantığını buluta taşıyın | IOT mesajlarını bulutta cevaplayan ugulama mantığı nasıl yazılır | [Uygulama mantığını buluta taşıyın](../2-farm/lessons/5-migrate-application-to-the-cloud/README.md) |
+| 10 | [Çiftlik](../2-farm) | Bitkinizi güvende tutun | IoT'nin güvenliğini ve bitkinizi anahtarlarla ve sertifikalarla güvende tutmayı öğrenin | [Bitkinizi güvende tutun](../2-farm/lessons/6-keep-your-plant-secure/README.md) |
+| 11 | [Nakliyat](../3-transport) | Konum takibi | GPS ile IoT cihazlarını takip etmeyi öğrenin. | [Konum takibi](../3-transport/lessons/1-location-tracking/README.md) |
+| 12 | [Nakliyat](../3-transport) | Konum bilgilerini depolayın | IoT verilerinin sonradan görselleştirilme ve analiz için nasıl saklandığını öğrenin | [Konum bilgilerini depolayın](../3-transport/lessons/2-store-location-data/README.md) |
+| 13 | [Nakliyat](../3-transport) | Konum verilerini görselleştirin | Konum verisini harita üzerinde görselleştirmeyi ve haritaların 3 boyutlu dünyamızı nasıl 2 boyutlu gösterdiğini öğrenin | [Konum verilerini görselleştirin](../3-transport/lessons/3-visualize-location-data/README.md) |
+| 14 | [Nakliyat](../3-transport) | Coğrafi Sınırlar | Coğrafi sınırları, tedarik zincirindeki araçları hedefe yaklaştıklarında uyarmak için coğrafi sınırları nasıl kullanacağınızı öğrenin. | [Coğrafi Sınırlar](../3-transport/lessons/4-geofences/README.md) |
+| 15 | [Üretim](../4-manufacturing) | Meyve kalite kontrolcüsünü eğitin | Meyvelerin kalitesini kontrol etmek için buluttaki bir resim sınıflandırma algoritmasını eğitmeyi öğrenin. | [Meyve kalite algılayıcısını eğitin](../4-manufacturing/lessons/1-train-fruit-detector/README.md) |
+| 16 | [Üretim](../4-manufacturing) | IoT devresinden meyvelerin kalitesini kontrol edin | Meyve kalitesini IoT cihazınızdan nasıl kontrol edeceğinizi öğrenin | [IoT devresinden meyvelerin kalitesini kontrol edin](../4-manufacturing/lessons/2-check-fruit-from-device/README.md) |
+| 17 | [Üretim](../4-manufacturing) |Meyve dedektörünüzü bir köşede çalıştırın| Meyve dedektörünüzü ve IoT devrelerini bir köşede nasıl çalıştıracağınızı öğrenin. | [Meyve dedektörünüzü bir köşede çalıştırın](../4-manufacturing/lessons/3-run-fruit-detector-edge/README.md) |
+| 18 | [Üretim](../4-manufacturing) | Bir sensörden meyve kalitesini algılamayı tetikleyin | Bir sensörden meyve kalitesinin algılanmasını nasıl tetikleyebileceğinizi öğrenin. | [Bir sensörden meyve kalitesini algılamayı tetikleyin](../4-manufacturing/lessons/4-trigger-fruit-detector/README.md) |
+| 19 | [Perakende](../5-retail) | Stok dedektörünü eğitin | Marketinizdeki stoğu sayması için nesne tanıyan dedektörün nasıl eğitildiğini öğrenin | [Stok dedektörünü eğitin](../5-retail/lessons/1-train-stock-detector/README.md) |
+| 20 | [Perakende](../5-retail) | Stokları IoT cihazınız ile kontrol edin | Stokları nesne tanıyan IoT cihazınız ile kontrol etmeyi öğrenin | [CStokları IoT cihazınız ile kontrol edin](../5-retail/lessons/2-check-stock-device/README.md)  |
+| 21 | [Tüketici](../6-consumer) | IoT cihazınız ile konuşma tanıyın | Akıllı bir zamanlayıcı oluşturmak için IoT cihazınızla konuşma tanıyacağınızı öğrenin. | [IoT cihazınız ile konuşma tanıyın ](../6-consumer/lessons/1-speech-recognition/README.md) |
+| 22 | [Tüketici](../6-consumer) | Dili anlayın | IoT cihazınızın konuşulan cümleleri nasıl anladığını öğrenin | [Dili anlayın](../6-consumer/lessons/2-language-understanding/README.md) |
+| 23 | [Tüketici](../6-consumer) | Bir zamanlayıcı kurun ve konuşturun | IoT cihazları için nasıl zamanlayıcı oluşturmayı ve zamanlayıcı kurulup çalıştıktan sonra  IoT cihazlarına konuşarak geri bildirim verdirmeyi öğrenin.| [Bir zamanlayıcı kurun ve konuşturun](../6-consumer/lessons/3-spoken-feedback/README.md) |
+| 24 | [Tüketici](../6-consumer) | Çoklu dil desteği | Hem konuşulan hem de geri bildirim için zamanlayıcınıza nasıl çoklu dil desteği sunulduğunu öğrenin | [Çoklu dil desteği](../6-consumer/lessons/4-multiple-language-support/README.md) |
 
 ## Çevirim dışı erişim
-  Bu belgeleri çevirim dışı olarak [Docsify](https://docsify.js.org/#/) kullanarak çalıştırabilirsiniz. Bu repo'yu forklayın [Docsify'ı kurun](https://docsify.js.org/#/quickstart) ve bu repo'nun ana klasöründe `docsify serve` yazın. Website sizin yerelinizde: `localhost:3000`.
+
+Bu belgeleri çevirim dışı olarak [Docsify](https://docsify.js.org/#/) kullanarak çalıştırabilirsiniz. Bu repo'yu forklayın [Docsify'ı kurun](https://docsify.js.org/#/quickstart) ve bu repo'nun ana klasöründe `docsify serve` yazın. Website sizin yerelinizde: `localhost:3000`.
   
 ### PDF
 
@@ -118,7 +117,7 @@ npm run convert
 
 ## Yardım Aranıyor!
 
-Bir çeviriyle katkıda bulunmak ister miydiniz? Lütfen [çeviri rehberimizi](TRANSLATIONS.md) okuyun ve [çeviri issue'lerinden birine](https://github.com/microsoft/IoT-For-Beginners/issues?q=is%3Aissue+is%3Aopen+label%3Atranslation) yazınız. Eğer yeni bir dile çevirmek istiyorsanız lütfen yeni bir issue oluşturun.
+Bir çeviriyle katkıda bulunmak ister miydiniz? Lütfen [çeviri rehberimizi](../TRANSLATIONS.md) okuyun ve [çeviri issue'lerinden birine](https://github.com/microsoft/IoT-For-Beginners/issues?q=is%3Aissue+is%3Aopen+label%3Atranslation) yazınız. Eğer yeni bir dile çevirmek istiyorsanız lütfen yeni bir issue oluşturun.
 
 ## Diğer Dersler
 
@@ -129,4 +128,4 @@ Takımımız başka derler de yapıyor:
 
 ## Resim atıfları
 
-Bu derslerde kullanılan tüm atıfları ihtiyaç halinde [buradan bulabilirsiniz](./attributions.md).
+Bu derslerde kullanılan tüm atıfları ihtiyaç halinde [buradan bulabilirsiniz](../attributions.md).
diff --git a/translations/README.zh-cn.md b/translations/README.zh-cn.md
index 063b3f1b..15679afc 100644
--- a/translations/README.zh-cn.md
+++ b/translations/README.zh-cn.md
@@ -27,11 +27,11 @@ Microsoft 的 Azure Cloud 大使很高兴提供关于 IoT 基础一个12个星
 
 **也感谢帮我们审查以及翻译这个课程的一组 [Microsoft Learn 学生大使](https://studentambassadors.microsoft.com?WT.mc_id=academic-17441-jabenn) ：[Aditya Garg](https://github.com/AdityaGarg00), [Anurag Sharma](https://github.com/Anurag-0-1-A), [Arpita Das](https://github.com/Arpiiitaaa), [Aryan Jain](https://www.linkedin.com/in/aryan-jain-47a4a1145/), [Bhavesh Suneja](https://github.com/EliteWarrior315), [Faith Hunja](https://faithhunja.github.io/), [Lateefah Bello](https://www.linkedin.com/in/lateefah-bello/), [Manvi Jha](https://github.com/Severus-Matthew), [Mireille Tan](https://www.linkedin.com/in/mireille-tan-a4834819a/), [Mohammad Iftekher (Iftu) Ebne Jalal](https://github.com/Iftu119), [Mohammad Zulfikar](https://github.com/mohzulfikar), [Priyanshu Srivastav](https://www.linkedin.com/in/priyanshu-srivastav-b067241ba), [Thanmai Gowducheruvu](https://github.com/innovation-platform), 和 [Zina Kamel](https://www.linkedin.com/in/zina-kamel/).**
 
-> **老师们**，我们为这个课程的用法 [提供了一些意见](../for-teachers.md)。如果你想自己创建课程，那我们也提供了一个[课程模板](lesson-template/README.md).
+> **老师们**，我们为这个课程的用法 [提供了一些意见](../for-teachers.md)。如果你想自己创建课程，那我们也提供了一个[课程模板](../lesson-template/README.md).
 
 > **学生们**， 为了自己学习这个课程，请复刻整个项目库，再自己完成练习，从课前知识测验开始，再阅读讲座，然后完成剩余的活动。尝试通过理解课程的内容来完成项目，而不要仅仅把代码答案抄下来；然而，在每个项目课程里，你都能从 /solutions 文件夹访问那些答案代码。另外一个办法是跟朋友成立学习小组，然后一起分析内容。想进一步研究，我们鼓励你查一查[Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn)。
 
-[![宣传片](./images/iot-for-beginners.png)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")
+[![宣传片](../images/iot-for-beginners.png)](https://youtube.com/watch?v=bccEMm8gRuc "Promo video")
 
 > 🎥 点击以上的图片来看这个项目的宣传片！
 
diff --git a/translations/hardware.bn.md b/translations/hardware.bn.md
index 887d368e..96f4c2b3 100644
--- a/translations/hardware.bn.md
+++ b/translations/hardware.bn.md
@@ -12,7 +12,7 @@ IoT শব্দে **T** এর পূর্ণরূপ হলো **Things** 
 
 ## ক্রয়তালিকা
 
-![The Seeed studios logo](./images/seeed-logo.png)
+![The Seeed studios logo](../images/seeed-logo.png)
 
 Seeed Studios থেকে সহজেই kit ক্রয় করা যাবে :
 
@@ -20,19 +20,19 @@ Seeed Studios থেকে সহজেই kit ক্রয় করা যা
 
 **[IoT for beginners with Seeed and Microsoft - Wio Terminal Starter Kit](https://www.seeedstudio.com/IoT-for-beginners-with-Seeed-and-Microsoft-Wio-Terminal-Starter-Kit-p-5006.html)**
 
-[![The Wio Terminal hardware kit](./images/wio-hardware-kit.png)](https://www.seeedstudio.com/IoT-for-beginners-with-Seeed-and-Microsoft-Wio-Terminal-Starter-Kit-p-5006.html)
+[![The Wio Terminal hardware kit](../images/wio-hardware-kit.png)](https://www.seeedstudio.com/IoT-for-beginners-with-Seeed-and-Microsoft-Wio-Terminal-Starter-Kit-p-5006.html)
 
 ### রাস্পবেরি পাই
 
 **[IoT for beginners with Seeed and Microsoft - Raspberry Pi 4 Starter Kit](https://www.seeedstudio.com/IoT-for-beginners-with-Seeed-and-Microsoft-Raspberry-Pi-Starter-Kit.html)**
 
-[![The Raspberry Pi Terminal hardware kit](./images/pi-hardware-kit.png)](https://www.seeedstudio.com/IoT-for-beginners-with-Seeed-and-Microsoft-Raspberry-Pi-Starter-Kit.html)
+[![The Raspberry Pi Terminal hardware kit](../images/pi-hardware-kit.png)](https://www.seeedstudio.com/IoT-for-beginners-with-Seeed-and-Microsoft-Raspberry-Pi-Starter-Kit.html)
 
 ## আরডুইনো
 
  আরডুইনো এর সব কোড C++ ভাষায় করা হয়। অ্যাসাইনমেন্ট সম্পন্ন করতে  নিম্নলিখিত উপাদানগুলির প্রয়োজন হবে:
 
-### আরডুইনো হার্ডওয়্যার 
+### আরডুইনো হার্ডওয়্যার
 
 * [Wio Terminal](https://www.seeedstudio.com/Wio-Terminal-p-4509.html)
 * *ঐচ্ছিক* - USB-C ক্যাবল অথবা USB-A থেকে USB-C এডাপ্টার - উইও টার্মিনালে একটি ইউএসবি-সি পোর্ট রয়েছে এবং এটিতে ইউএসবি-সি থেকে ইউএসবি-এ ক্যাবল থাকে। যদি ব্যবহারকারীর পিসি বা ম্যাক এ কেবল ইউএসবি-সি পোর্ট থাকে তবে একটি ইউএসবি-সি বা ইউএসবি-এ থেকে ইউএসবি-সি অ্যাডাপ্টার প্রয়োজন হবে।