18 Lessons teaching everything you need to know to start building Generative AI applications Generative AI for Beginners (Version 2) - A Course Learn the fundamentals of building Generative AI applications with our 18-lesson comprehensive course by Microsoft Cloud Advocates. ?? Getting Started This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both Python and TypeScript when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. What You Need Access to the Azure OpenAI Service OR OpenAI API - Only required to complete coding lessons Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. A Github account to fork this entire repo to your own GitHub account We have created a Course Setup lesson to help you with setting up your development environment. Don't forget to star (??) this repo to find it easier later. ?? Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both Python and TypeScript . ??? Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ?? Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive free OpenAI credits and up to $150k towards Azure credits to access OpenAI models through Azure OpenAI Services . ?? Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ?? Each lesson includes: A short video introduction to the topic A written lesson located in the README Python and TypeScript code samples supporting Azure OpenAI and OpenAI API Links to extra resources to continue your learning ??? Lessons Lesson Link Description Additional Learning 00 Course Setup Learn: How to Setup Your Development Environment Learn More 01 Introduction to Generative AI and LLMs Learn: Understanding what Generative AI is and how Large Language Models (LLMs) work. Learn More 02 Exploring and comparing different LLMs Learn: How to select the right model for your use case Learn More 03 Using Generative AI Responsibly Learn: How to build Generative AI Applications responsibly Learn More 04 Understanding Prompt Engineering Fundamentals Learn: Hands-on Prompt Engineering Best Practices Learn More 05 Creating Advanced Prompts Learn: How to apply prompt engineering techniques that improve the outcome of your prompts. Learn More 06 Building Text Generation Applications Build: A text generation app using Azure OpenAI Learn More 07 Building Chat Applications Build: Techniques for efficiently building and integrating chat applications. Learn More 08 Building Search Apps Vector Databases Build: A search application that uses Embeddings to search for data. Learn More 09 Building Image Generation Applications Build: A image generation application Learn More 10 Building Low Code AI Applications Build: A Generative AI application using Low Code tools Learn More 11 Integrating External Applications with Function Calling Build: What is function calling and its use cases for applications Learn More 12 Designing UX for AI Applications Learn: How to apply UX design principles when developing Generative AI Applications Learn More 13 Securing Your Generative AI Applications Learn: The threats and risks to AI systems and methods to secure these systems. Learn More 14 The Generative AI Application Lifecycle Learn: The tools and metrics to manage the LLM Lifecycle and LLMOps Learn More 15 Retrieval Augmented Generation (RAG) and Vector Databases Build: An application using a RAG Framework to retrieve embeddings from a Vector Databases Learn More 16 Open Source Models and Hugging Face Build: An application using open source models available on Hugging Face Learn More 17 AI Agents Build: An application using an AI Agent Framework Learn More 18 Fine-Tuning LLMs Learn: The what, why and how of fine-tuning LLMs Learn More ?? Special thanks Special thanks to John Aziz for creating all of the GitHub Actions and workflows ?? Other Courses Our team produces other courses! Check out: ML for Beginners Data Science for Beginners AI for Beginners NEW Cybersecurity for Beginners Web Dev for Beginners IoT for Beginners XR Development for Beginners Mastering GitHub Copilot for AI Paired Programming
