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/pi.zh-cn.md b/1-getting-started/lessons/1-introduction-to-iot/translations/pi.zh-cn.md
index 426f26fc..dcee1b19 100644
--- a/1-getting-started/lessons/1-introduction-to-iot/translations/pi.zh-cn.md
+++ b/1-getting-started/lessons/1-introduction-to-iot/translations/pi.zh-cn.md
@@ -239,6 +239,6 @@
     Hello World!
     ```
 
-> 💁 你可以在[code/pi](code/pi) 文件夹里找到这个代码
+> 💁 你可以在[code/pi](../code/pi) 文件夹里找到这个代码
 
 😀 你的'Hello World'程序成功了!
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/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/3-sensors-and-actuators/translations/pi-actuator.zh-cn.md b/1-getting-started/lessons/3-sensors-and-actuators/translations/pi-actuator.zh-cn.md
new file mode 100644
index 00000000..2b0da418
--- /dev/null
+++ b/1-getting-started/lessons/3-sensors-and-actuators/translations/pi-actuator.zh-cn.md
@@ -0,0 +1,115 @@
+# 开发一个夜灯 - 树莓派
+
+在这个部分的课程中，你会把一个LED加到树莓派上并使用它来创建一个夜灯。
+
+## 硬件
+
+现在夜灯需要一个执行器。
+
+这个执行器是**LED**，一个[发光二极管](https://wikipedia.org/wiki/Light-emitting_diode)，当电流通过它时会发光。这是一个有两个打开或者关闭状态的数字执行器，发送一个1值把灯打开，发送0把灯关闭。这个LED是一个外部Grove执行器，而且需要被连接到树莓派上的Grove基础扩展板。
+
+这个夜灯的逻辑用伪代码表示是：
+
+```output
+检查光照等级。
+如果光照小于300
+    打开LED
+否则
+    关闭LED
+```
+
+### 连接LED
+
+Grove LED 作为一个模块出现，以及一系列可供你选择颜色的LED。
+
+#### 任务 - 连接LED
+
+连接LED。
+
+![一个grove LED](../../../../images/grove-led.png)
+
+1. 选择你最喜欢的LED然后把引脚插到LED模块的两个洞里面。
+
+    LED是发光二极管，而且二极管是只允许电流单个方向通过的电子设备。这意味LED需要被连接在正确的方向，不然就不会工作。
+
+    LED引脚中的一个是正极引脚，另一个是负极引脚。LED不是完全的圆形，而且在一边是有些平的。这略平的一边是负极引脚。当你连接LED到这个模块的时候，需要确保圆形这边的引脚是连接到模块上外边标着 **+** 的插孔，而扁平的这边是连接到靠近模块中间的插孔。
+
+1. LED模块有一个允许你控制亮度的旋转按钮，用一个小十字螺丝起子逆时针旋转它拧到头来完全打开它。
+
+1. 把Grove线缆的一端插到LED模块的插孔中，这个只能从一个方向插入。
+
+1. 在树莓派断电的情况下，把Grove线缆的另一端连接到树莓派上插着的Grove基础扩展板标着 **D5** 的数字插孔。这个插孔在靠近GPIO引脚的一排，左数第二个。
+
+![连接到D5插孔的Grove LED](../../../../images/pi-led.png)
+
+## 编写夜灯程序
+
+现在夜灯可以用Grove光照传感器和Grove LED来编码了。
+
+### 任务 - 编写夜灯程序
+
+编写夜灯程序
+
+1. 打开树莓派并等待启动完成。
+
+1. 直接在树莓派上或者通过远程SSH扩展，打开你在这个作业上一部分创建的VS Code中的夜灯项目。
+
+1. 把下面的代码加到`app.py`文件中来导入一个需要的函数库。这一行需要加在文件顶部，在其他`import`代码行下面。
+
+    ```python
+    from grove.grove_led import GroveLed
+    ```
+    `from grove.grove_led import GroveLed`语句从Grove Python函数库中导入了`GroveLED`。这个函数库中有和Grove LED交互的代码。
+
+1. 把下面的代码加到`light_sensor`声明之后来创建一个管理LED的类的实例：
+
+    ```python
+    led = GroveLed(5)
+    ```
+
+    `led = GroveLed(5)`这一行创建了一个连接到 **D5** 引脚的`GroveLED`类的实例，**D5** 也就是LED连接的那个数字Grove引脚。
+
+    > 💁 所有的插孔都有唯一的引脚号，引脚0、2、4和6是模拟引脚，引脚5、16、18、22、24和26是数字引脚。
+
+1. 在`while`循环中增加一个判断，在`time.sleep`之前来检查光照等级并控制LED打开或者关闭：
+
+    ```python
+    if light < 300:
+        led.on()
+    else:
+        led.off()
+    ```
+
+    这块代码检查了`light`的值，如果小于300就调用`GroveLED`类的`on`方法，来发送一个数字值1到LED，把它点亮。如果`light`值大于或等于300，就调用`off`方法，发送一个数字值0给LED，把它关闭。
+
+    > 💁 这段代码需要放到while循环里面，缩进到和`print('Light level:', light)`行一个水平。
+
+    > 💁 当发送数字值到执行器的时候，0值就是0v，1值就是设备的最大电压。对于插着Grove传感器和执行器的树莓派而言，1的电压就是3.3V。
+
+1. 从VS Code终端，运行下面的命令来运行你的Python应用：
+
+    ```sh
+    python3 app.py
+    ```
+
+    光照值在终端里输出。
+
+    ```output
+    pi@raspberrypi:~/nightlight $ python3 app.py 
+    Light level: 634
+    Light level: 634
+    Light level: 634
+    Light level: 230
+    Light level: 104
+    Light level: 290
+    ```
+
+1. 遮挡或者揭开光照传感器，会观察到光照等级等于300或更小时LED会点亮，如果光照等级比300大LED就会关闭。
+
+    > 💁 如果LED没有点亮，确保它是正确方向连接的，而且旋转按钮是设置成全开的。
+
+![连接到树莓派的LED随着光照等级改变点亮和关闭](../../../../images/pi-running-assignment-1-1.gif)
+
+> 💁 你可以在[code-actuator/pi](../code-actuator/pi)文件夹里找到这份代码。
+
+😀 你的夜灯程序就成功了！
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/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/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.
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