Tweaks before release (#173)

* Adding content

* Update en.json

* Update README.md

* Update TRANSLATIONS.md

* Adding lesson tempolates

* Fixing code files with each others code in

* Update README.md

* Adding lesson 16

* Adding virtual camera

* Adding Wio Terminal camera capture

* Adding wio terminal code

* Adding SBC classification to lesson 16

* Adding challenge, review and assignment

* Adding images and using new Azure icons

* Update README.md

* Update iot-reference-architecture.png

* Adding structure for JulyOT links

* Removing icons

* Sketchnotes!

* Create lesson-1.png

* Starting on lesson 18

* Updated sketch

* Adding virtual distance sensor

* Adding Wio Terminal image classification

* Update README.md

* Adding structure for project 6 and wio terminal distance sensor

* Adding some of the smart timer stuff

* Updating sketchnotes

* Adding virtual device speech to text

* Adding chapter 21

* Language tweaks

* Lesson 22 stuff

* Update en.json

* Bumping seeed libraries

* Adding functions lab to lesson 22

* Almost done with LUIS

* Update README.md

* Reverting sunlight sensor change

Fixes #88

* Structure

* Adding speech to text lab for Pi

* Adding virtual device text to speech lab

* Finishing lesson 23

* Clarifying privacy

Fixes #99

* Update README.md

* Update hardware.md

* Update README.md

* Fixing some code samples that were wrong

* Adding more on translation

* Adding more on translator

* Update README.md

* Update README.md

* Adding public access to the container

* First part of retail object detection

* More on stock lesson

* Tweaks to maps lesson

* Update README.md

* Update pi-sensor.md

* IoT Edge install stuffs

* Notes on consumer groups and not running the event monitor at the same time

* Assignment for object detector

* Memory notes for speech to text

* Migrating LUIS to an HTTP trigger

* Adding Wio Terminal speech to text

* Changing smart timer to functions from hub

* Changing a param to body to avoid URL encoding

* Update README.md

* Tweaks before IoT Show

* Adding sketchnote links

* Adding object detection labs

* Adding more on object detection

* More on stock detection

* Finishing stock counting

* Tidying stuff

* Adding wio purchase link

* Updating Seeed logo

* Update pi-proximity.md

* Fix clean up link

Fixes #145

* Moving attributions to a separate file

* First draft of edge classifier

* Adding extras

* Moving folder

* Adding lesson 11 questions

* Image improvements

* More image tweaks

* Adding lesson 12 quiz

* Quiz for lesson 13

* Adding quiz for lesson 14

* Lesson 15 and 16 quiz

* Update README.md

* Adding sketchnotes

* Adding quiz for 17

* Update en.json

* Adding lesson 18 quiz questions

* Quiz for 19 and 20

* Lesson 21 and 22 quiz

* Lesson 23 quiz

* Lesson 24 quiz

* Update README.md

* Moar sketchnotes

* Tweaking stuff ready for release
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Jim Bennett 4 years ago committed by GitHub
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@ -26,11 +26,13 @@ The projects cover the journey of food from farm to table. This includes farming
> **Students**, to use this curriculum on your own, fork the entire repo and complete the exercises on your own, starting with a pre-lecture quiz, then reading the lecture and completing the rest of the activities. Try to create the projects by comprehending the lessons rather than copying the solution code; however that code is available in the /solutions folders in each project-oriented lesson. Another idea would be to form a study group with friends and go through the content together. For further study, we recommend [Microsoft Learn](https://docs.microsoft.com/users/jimbobbennett/collections/ke2ehd351jopwr?WT.mc_id=academic-17441-jabenn).
<!--
> Your promo video here
[![Promo video](./images/iot-for-beginners.png)](https://youtube.com/watch?v=R1wrdtmBSII "Promo video")
> 💁 Click the image above for a video about the project!
-->
## Pedagogy
@ -42,13 +44,15 @@ In addition, a low-stakes quiz before a class sets the intention of the student
Each project is be based around real-world hardware available to students and hobbyists. Each project looks into the specific project domain, providing relevant background knowledge. To be a successful developer it helps to understand the domain in which you are solving problems, providing this background knowledge allows students to think about their IoT solutions and learnings in the context of the kind of real-world problem that they might be asked to solve as an IoT developer. Students learn the 'why' of the solutions they are building, and get an appreciation of the end user.
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 mode before committing to a purchase. You can read more and find a 'shopping list' on the [hardware page](./hardware.md).
## 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 mode 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!
## Each lesson includes:
- optional sketchnote
- sketchnote
- optional supplemental video
- pre-lesson warmup quiz
- written lesson
@ -94,6 +98,10 @@ We have two choices of IoT hardware to use for the projects depending on persona
You can run this documentation offline by using [Docsify](https://docsify.js.org/#/). Fork this repo, [install Docsify](https://docsify.js.org/#/quickstart) on your local machine, and then in the root folder of this repo, type `docsify serve`. The website will be served on port 3000 on your localhost: `localhost:3000`.
## PDF
A PDF of all of the lessons can be found [here](pdf/readme.pdf)
## Image attributions
You can find all the attributions for the images used in this curriculum where required in the [Attributions](./attributions.md).

@ -37,3 +37,5 @@ Are you sure you want to perform this operation? (y/n):
Enter `y` to confirm and delete the Resource Group.
It will take a while to delete all the services.
> 💁 You can read more about deleting resource groups on the [Azure Resource Manager resource group and resource deletion documentation on Microsoft Docs](https://docs.microsoft.com/azure/azure-resource-manager/management/delete-resource-group?tabs=azure-cli&WT.mc_id=academic-17441-jabenn)
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