Ready to integrate Generative AI into your JavaScript apps?

This course throws you into a time-traveling adventure—meet history’s legends with a fun twist, while learning Generative AI technologies ✨

[!IMPORTANT]
Open-source vibes! Reuse, tweak, and share this content freely.

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• Learn how to build and test out your first server
• Improve your MCP client by integrating an LLM

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Step into history with AI magic!

Dive into an immersive learning experience powered by Generative AI:

• Learn about Generative AI technologies. If you've wanted to understand Generative AI and the potential for your applications, you're in the right place!

• Epic Time-Travel Stories. Dive into a fun tale, chatting with icons like Leonardo da Vinci, Ada Lovelace, or Montezuma in every lesson.

• Companion App. Interact with historical figures using Generative AI technologies (see our Responsible AI disclaimer).

  

  Check the app directory to run the app locally or use GitHub Codespaces to run it online.

• Accessibility FTW. Read it, hear it—audio tags bring it to life.

“It’s like a comic book with code!” — Happy User

Getting started

Throughout this course you'll find many code examples and exercises, so we encourage you to run and experiment with the code in your own copy of this repository:

1. Select the Fork button in the upper right-hand corner of the repository or select this button:

2. Click the Code button in your forked repository, go to the Codespaces tab, and then choose Create codespace.

   This will create a preconfigured online environment for you. You'll then be able to use GitHub Models to run the code examples and interact with AI models for free, without any additional setup.

[!NOTE]

While GitHub Codespaces provides a quick and easy starting point you can also run the code samples locally.

Learn more about GitHub Codespaces and GitHub Models concepts here.

Lesson description

📦 Each lesson includes:

• A written lesson with an assignment and quiz.
• A short video to help further your learning.
• Solutions for each assignment and quiz.
• Characters you can interact with using our companion app, demonstrating Generative AI.

Lessons

🗃️ Table of contents

#	Lesson Link	Description
1	Introduction to Generative AI and LLMs for JavaScript Developers	Understand Generative AI and LLM fundamentals, their applications and limits in JavaScript, and how to use AI to enhance user experiences.
2	Build your first AI app	Set up your development environment, write a basic app, and understand system prompts.
3	Prompt engineering	Learn Prompt engineering fundamentals, techniques, and meta-prompts for better AI outcomes.
4	Structured output	Learn structured output, how to extract data from prompts, and present it in various formats, such as JSON, for easier consumption.
5	Retrieval augmented generation (RAG)	Learn the basics of RAG, how to integrate external data, and how to leverage it for more relevant, accurate AI responses.
6	Tool calling/Function calling	Learn how to give your LLM extra capabilities, bring your own functions
7	MCP, Model Context Protocol	Teaches how to get started with MCP to standardize how to expose prompts, resources and tools
8	Enhancing MCP Clients with Large Language Models	Learn how to improve your MCP app by improving clients with LLM and more

New lessons will be added to the course over time, so stay tuned!

Keep learning

🙌 After completing this course, you can continue learning by exploring our additional resources.

🎬Video Series

#	Session	Description	Slides	Demo	Script	Video
0	Series introduction	Introduces the series and its content.	pptx / pdf	-	Script	📺
1	What you need to know about LLMs	Explores what LLMs are, how they're trained, how they work and their limits.	pptx / pdf	Demo	Script	📺
2	Essential prompt engineering techniques	Practical prompt engineering techniques to get the best out of AI models.	pptx / pdf	Demo	Script	📺
3	Improve AI accuracy and reliability with RAG	Introduces Retrieval-Augmented Generation, to use AI with your own data.	pptx / pdf	Demo	Script	📺
4	Speed up your AI development with LangChain.js	Covers LangChain.js framework core concepts, and how to use it to accelerate AI developments.	pptx / pdf	Demo	Script	📺
5	Run AI models on your local machine with Ollama	Shows how to integrate local AI models into your development workflow.	pptx / pdf	Demo	Script	📺
6	Get started with AI for free using Phi-3	Experiments with Ollama and Phi-3 model directly from your browser.	pptx / pdf	Demo	Script	📺
7	Introduction to Azure AI Foundry	Kickstart your journey with Azure AI Foundry.	pptx / pdf	Demo	Script	📺
8	Building Generative AI Apps with Azure Cosmos DB	Build generative AI apps with Azure Cosmos DB and vector search.	pptx / pdf	Demo	Script	📺
9	Azure tools & services for hosting and storing AI apps	Build, deploy, and scale AI applications using Azure tools.	pptx / pdf	-	Script	📺
10	Streaming Generative AI output with the AI Chat Protocol	Integrate streaming easily into your apps with the AI Chat Protocol.	pptx / pdf	Demo	Script	📺

To see the full page of resources, go to this video overview page.

You'll also find additional resources in the form of tutorials, code samples and more.

Responsible AI Disclaimer

[!IMPORTANT] DISCLAIMER: This repository contains fictional content generated by AI. The historical characters depicted here are generating responses thanks to generative AI, which is based on training data. Any responses generated by these characters do not represent their actual views or quotes. This content is intended solely for entertainment purposes. Microsoft Responsible AI principles here

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Getting Help

If you get stuck or have any questions about building AI apps, join:

If you have product feedback or errors while building visit: