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 | 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 prefer to Clone Locally?
Dis repo get more than 50 language translations wey go make the download size big. 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 you need to finish the course quick-quick.
Learn the basics for how to build Generative AI applications with our 21-lesson full course by Microsoft Cloud Advocates.
Dis course get 21 lessons. Each lesson get im own topic so start for anywhere wey you like!
Lessons dey labeled either "Learn" lessons wey dey explain one Generative AI concept or "Build" lessons wey dey explain concept plus code examples inside both Python and TypeScript if e possible.
For .NET Developers make you check Generative AI for Beginners (.NET Edition)!
Each lesson still get one "Keep Learning" section with extra learning tools.
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Azure OpenAI Service - Lessons: "aoai-assignment"
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GitHub Marketplace Model Catalog - Lessons: "githubmodels"
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OpenAI API - Lessons: "oai-assignment"
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Basic knowledge of Python or TypeScript go help - *For absolute beginners check out these Python and TypeScript courses
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GitHub account so you fit fork this whole repo go your own GitHub account
We don create one Course Setup lesson to help you arrange your development environment.
No forget to star (🌟) dis repo so e go easy for you to find am later.
If you dey look for more strong code samples, check our collection of Generative AI Code Samples for both Python and TypeScript.
Join our official Azure AI Foundry Discord server to meet and network with other learners wey dey do dis course and get support.
Ask questions or share product feedback for our Azure AI Foundry Developer Forum for Github.
Visit Microsoft for Startups to find how you go take start to build with Azure credits today.
You get suggestion or you see spelling or code mistake? Raise an issue or Create a pull request
- Small video introduction to the topic
- Written lesson wey dey for the README
- Python and TypeScript code samples wey dey support Azure OpenAI and OpenAI API
- Links to extra resources to continue your learning
| # | 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: Understanding 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 the 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 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.
Our team dey produce other courses! Check am out:
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If you jam or get any question about how to build AI apps. Join other learners plus experienced developers for discussion about MCP. Na community wey dey support, where questions dey welcome and knowledge dey share freely.
If you get product feedback or errors wey happen while you dey build, visit:
Disclaimer: Dis document don translate wit AI translation service Co-op Translator. Even though we try make e correct, abeg no forget say automated translation fit get error or no too accurate. Na di original document wey e dey for im correct language suppose be di main authority. If na serious info, make you use professional human translation. We no go take responsabiliti for any misunderstanding or wrong interpretation wey fit happen from dis translation.