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
Prefer to Clone Locally?
Dis repo get pass 50 language translations wey dey make d download size plenty. To clone without translations, use sparse checkout:
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 all di tins wey you need to complete d course faster.
Learn di basics of how to build Generative AI applications wit our 21-lesson koko course by Microsoft Cloud Advocates.
Dis course get 21 lessons. Each lesson get e own topic so start for anywhere you like!
Lessons dem be either "Learn" lessons wey dey explain Generative AI concept or "Build" lessons wey dey explain concept plus code examples for both Python and TypeScript if e possible.
For .NET Developers, check Generative AI for Beginners (.NET Edition)!
Every lesson still get "Keep Learning" section wey get 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 sabi for Python or TypeScript go help - *For people wey never sabi at all, check these Python and TypeScript courses
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One GitHub account to fork dis complete repo go your own GitHub account
We don create Course Setup lesson to help you set up your development environment.
No forget to star (🌟) dis repo so e go easy for you to find am later.
If you dey find more advanced 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 wit other learners wey dey do dis course and get support.
Ask questions or drop product feedback for our Azure AI Foundry Developer Forum for Github.
Go Microsoft for Startups to find how to start build wit Azure credits today.
You get any suggestions or you see any mistakes for spelling or code? Raise an issue or Create pull request
- Small video to introduce di topic
- Written lesson wey dey README
- Python and TypeScript code samples wey support Azure OpenAI and OpenAI API
- Links to more 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: Understand wat 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 responsibly | 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 oda courses! Check am out:
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If you don jam gbege or get any question about how to build AI apps. Abeg join other learners and people wey sabi for discussions about MCP. E be like community wey dey supportive, wey questions dey welcome and knowledge dey share freely.
If you get product feedback or errors while you dey build, waka go this side:
Disclaimer: Dis document na wetin AI translation service Co-op Translator use translate am. Even though we dey try make e correct, abeg sabi say automatic translation fit get some errors or wrong meaning. Di original document wey e dey for im correct language na di real ogbonge source. For important info, e better make human professional translate am. We no go take waka for any wahala or wrong meaning wey fit show because of dis translation.