24 KiB
21 Lekshan wey de teach everything wey you need sabi to start build Generative AI applications
🌐 Multi-Language Support
Supported via GitHub Action (Automated & Always Up-to-Date)
Arabic | Bengali | Bulgarian | Burmese (Myanmar) | Chinese (Simplified) | Chinese (Traditional, Hong Kong) | Chinese (Traditional, Macau) | Chinese (Traditional, Taiwan) | Croatian | Czech | Danish | Dutch | Estonian | Finnish | French | German | Greek | Hebrew | Hindi | Hungarian | Indonesian | Italian | Japanese | Kannada | Khmer | Korean | Lithuanian | Malay | Malayalam | Marathi | Nepali | Nigerian Pidgin | Norwegian | Persian (Farsi) | Polish | Portuguese (Brazil) | Portuguese (Portugal) | Punjabi (Gurmukhi) | Romanian | Russian | Serbian (Cyrillic) | Slovak | Slovenian | Spanish | Swahili | Swedish | Tagalog (Filipino) | Tamil | Telugu | Thai | Turkish | Ukrainian | Urdu | Vietnamese
You want to clone am for your local machine?
Dis repository get 50+ language translations wey go make di download size big well well. To clone without translations, use sparse checkout:
Bash / macOS / Linux:
git clone --filter=blob:none --sparse https://github.com/microsoft/generative-ai-for-beginners.git cd generative-ai-for-beginners git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'CMD (Windows):
git clone --filter=blob:none --sparse https://github.com/microsoft/generative-ai-for-beginners.git cd generative-ai-for-beginners git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"Dis one go give you everything wey you need to finish di course with fast download.
Generative AI for Beginners (Version 3) - One Course
Learn the basics of how to build Generative AI applications wit our 21-lesson complete course by Microsoft Cloud Advocates.
🌱 How to Start
Dis course get 21 lessons. Each lesson get e own topic, so you fit start anywhere wey you want!
Lessons dem get label like "Learn" wey de explain one Generative AI concept or "Build" wey de explain concept plus code examples for both Python and TypeScript when e possible.
If you be .NET Developer, try check Generative AI for Beginners (.NET Edition)!
Each lesson still get "Keep Learning" section wey get extra tools to help you learn more.
Wetin You Need
To run code for dis course, you fit use any of dis:
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Azure OpenAI Service - Lessons: "aoai-assignment"
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Microsoft Foundry Models - Lessons: "githubmodels" (GitHub Models go stop for end of July 2026 - use Microsoft Foundry Models instead)
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OpenAI API - Lessons: "oai-assignment"
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Foundry Local - Run models offline for your own machine, no cloud subscription needed
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Basic understanding of Python or TypeScript go help - *For absolute beginners try these Python and TypeScript courses
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GitHub account to fork dis complete repo to your own GitHub
We don create one Course Setup lesson to help you set up your development environment.
No forget to star (🌟) dis repo make e easy for you to find later.
🧠 Ready to Deploy?
If you dey find more advanced code samples, check our collection of Generative AI Code Samples for both Python and TypeScript.
🗣️ Meet Other Learners, Get Support
Join our official Microsoft Foundry Discord server to meet and connect with other learners wey dey take dis course and get support.
Ask question or talk product feedback for our Microsoft Foundry Developer Forum for Github.
🚀 Building Startup?
Visit Microsoft for Startups to find how to start to build wit Azure credits today.
🙏 You wan help?
You get suggestion or you find spelling or code mistake? Raise issue or Create pull request
📂 Each lesson get:
- Short video to introduce the topic
- Writen lesson wey de for README
- Python and TypeScript code samples wey support Azure OpenAI and OpenAI API
- Links to extra resources to help you continue to learn
🗃️ Lessons
| # | Lesson Link | Description | Video | Extra Learning |
|---|---|---|---|---|
| 00 | Course Setup | Learn: How to setup your development environment | Video Coming Soon | Learn More |
| 01 | Introduction to Generative AI and LLMs | Learn: Understand wetin Generative AI be and how Large Language Models (LLMs) dey work | Video | Learn More |
| 02 | Exploring and comparing different LLMs | Learn: How to choose correct model for your use case | Video | Learn More |
| 03 | Using Generative AI Responsibly | Learn: How to build Generative AI Applications wey responsible | Video | Learn More |
| 04 | Understanding Prompt Engineering Fundamentals | Learn: Hands-on Prompt Engineering Best Practices | Video | Learn More | | 05 | Creating Advanced Prompts | Learn: How to apply prompt engineering techniques that improve the outcome of your prompts. | Video | Learn More | | 06 | Building Text Generation Applications | Build: A text generation app using Azure OpenAI / OpenAI API | Video | Learn More | | 07 | Building Chat Applications | Build: Techniques for efficiently building and integrating chat applications. | Video | Learn More | | 08 | Building Search Apps Vector Databases | Build: A search application that uses Embeddings to search for data. | Video | Learn More | | 09 | Building Image Generation Applications | Build: An image generation application | Video | Learn More | | 10 | Building Low Code AI Applications | Build: A Generative AI application using Low Code tools | Video | Learn More | | 11 | Integrating External Applications with Function Calling | Build: What is function calling and its use cases for applications | Video | Learn More | | 12 | Designing UX for AI Applications | Learn: How to apply UX design principles when developing Generative AI Applications | Video | Learn More | | 13 | Securing Your Generative AI Applications | Learn: The threats and risks to AI systems and methods to secure these systems. | Video | Learn More | | 14 | The Generative AI Application Lifecycle | Learn: The tools and metrics to manage the LLM Lifecycle and LLMOps | Video | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | Build: An application using a RAG Framework to retrieve embeddings from a Vector Databases | Video | Learn More | | 16 | Open Source Models and Hugging Face | Build: An application using open source models available on Hugging Face | Video | Learn More | | 17 | AI Agents | Build: An application using an AI Agent Framework | Video | Learn More | | 18 | Fine-Tuning LLMs | Learn: The what, why and how of fine-tuning LLMs | Video | Learn More | | 19 | Building with SLMs | Learn: The benefits of building with Small Language Models | Video Coming Soon | Learn More | | 20 | Building with Mistral Models | Learn: The features and differences of the Mistral Family Models | Video Coming Soon | Learn More | | 21 | Building with Meta Models | Learn: The features and differences of the Meta Family Models | Video Coming Soon | Learn More |
🌟 Special thanks
Special thanks to John Aziz for creating all of the GitHub Actions and workflows
Bernhard Merkle for making key contributions to each lesson to improve the learner and code experience.
🎒 Other Courses
Our team produces other courses! Check out:
LangChain
Azure / Edge / MCP / Agents
Generative AI Series
Core Learning
Copilot Series
Getting Help
If you get stuck or have any questions about building AI apps. Join fellow learners and experienced developers in discussions about MCP. It's a supportive community where questions are welcome and knowledge is shared freely.
If you have product feedback or errors while building visit:
Disclaimer: Dis document don translate wit AI translation service Co-op Translator. Even tho we dey try make am correct, abeg make you know say automated translation fit get errors or mistakes. Di original document for dia own language na im be di correct source. For important info, make person wey sabi human translation do am. We no go responsible for any misunderstanding or wrong understanding wey fit happen because of dis translation.