Microsoft Generative AI for Beginners Project Details
Project Overview
Microsoft Generative AI for Beginners is a comprehensive 21-lesson course created by Microsoft Cloud Advocates. This open-source project aims to help beginners master the fundamentals of building generative AI applications.
Project Features
Course Structure
- 21 Complete Lessons: Each lesson covers an independent topic, allowing learners to start anywhere.
- Course Type Classification:
- "Learn" Lessons: Explain generative AI concepts.
- "Build" Lessons: Combine conceptual explanations with code examples.
Programming Language Support
- Python: Primary programming language.
- TypeScript: Corresponding code examples are provided.
- Multi-Platform Support:
- Universal Version (Python/TypeScript)
- .NET Version (Specifically designed for .NET developers)
- JavaScript Version
Technology Platform Integration
The course supports various AI service platforms:
- Azure OpenAI Service: Microsoft Azure's OpenAI service.
- GitHub Marketplace Model Catalog: GitHub model catalog.
- OpenAI API: OpenAI official API.
Complete Course Outline
| Lesson Number | Lesson Name | Lesson Description | Video Resource |
|---|---|---|---|
| 00 | Course Setup | Setting up the course environment | โ |
| 01 | Introduction to Generative AI and LLMs | Introduction to Generative AI and Large Language Models | โ |
| 02 | Exploring and comparing different LLMs | Exploring and comparing different Large Language Models | โ |
| 03 | Using Generative AI Responsibly | Using Generative AI Responsibly | โ |
| 04 | Understanding Prompt Engineering Fundamentals | Understanding Prompt Engineering Fundamentals | โ |
| 05 | Creating Advanced Prompts | Creating Advanced Prompts | โ |
| 06 | Building Text Generation Applications | Building Text Generation Applications | โ |
| 07 | Building Chat Applications | Building Chat Applications | โ |
| 08 | Building Search Apps Vector Databases | Building Search Apps and Vector Databases | โ |
| 09 | Building Image Generation Applications | Building Image Generation Applications | โ |
| 10 | Building Low Code AI Applications | Building Low Code AI Applications | โ |
| 11 | Integrating External Applications with Function Calling | Integrating External Applications with Function Calling | โ |
| 12 | Designing UX for AI Applications | Designing UX for AI Applications | โ |
| 13 | Securing Your Generative AI Applications | Securing Your Generative AI Applications | โ |
| 14 | The Generative AI Application Lifecycle | The Generative AI Application Lifecycle | โ |
| 15 | Retrieval Augmented Generation (RAG) and Vector Databases | Retrieval Augmented Generation (RAG) and Vector Databases | โ |
| 16 | Open Source Models and Hugging Face | Open Source Models and Hugging Face | โ |
| 17 | AI Agents | AI Agents | โ |
| 18 | Fine-Tuning LLMs | Fine-Tuning LLMs | โ |
| 19 | Building with SLMs | Building with Small Language Models | - |
| 20 | Building with Mistral Models | Building with Mistral Models | - |
| 21 | Building with Meta Models | Building with Meta Models | - |
Learning Resources
Each Lesson Includes
- Video Introduction: A short video introduction to the topic.
- Text Tutorial: A detailed written lesson in the README.
- Code Examples: Python and TypeScript code samples supporting Azure OpenAI and OpenAI API.
- Further Learning: Links to additional resources for continued learning.
Prerequisites
- Programming Fundamentals: Basic knowledge of Python or TypeScript is helpful.
- GitHub Account: Required to fork the entire repository to your own GitHub account.
- Development Environment: Course setup guides are provided to help configure the development environment.
Support Resources
- Official Discord Server: Communicate with other learners and get support.
- GitHub Discussions: Ask questions and provide suggestions.
- Free Resources: Microsoft for Startups Founders Hub provides free OpenAI credits and Azure credits.
Target Audience
- Beginners interested in generative AI.
- Developers who want to learn how to build AI applications.
- Technical personnel who want to understand different AI models and platforms.
- Product managers interested in AI product design and user experience.
Project Advantages
- Authoritative: Created and maintained by the official Microsoft team.
- Practical: Combines theory and practice, with each lesson including practical code examples.
- Comprehensive: Covers a complete learning path from basic concepts to advanced applications.
- Open Source: Completely open source, free to use and contribute.
- Multi-Platform: Supports multiple programming languages and AI service platforms.
- Continuously Updated: Actively maintained and updated by the community.
Related Course Series
Microsoft also offers other related learning resources:
- AI Agents for Beginners
- ML for Beginners
- Data Science for Beginners
- AI for Beginners
- Cybersecurity for Beginners