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Generative AI For Beginners

21 Lessons teaching everything you need to know to start building Generative AI applications

GitHub licenseGitHub contributorsGitHub issuesGitHub pull-requestsPRs Welcome

GitHub watchersGitHub forksGitHub stars

🌐 Multi-Language Support

Supported via GitHub Action (Automated & Always Up-to-Date)

French |Spanish |German |Russian |Arabic |Persian (Farsi) |Urdu |Chinese (Simplified) |Chinese (Traditional, Macau) |Chinese (Traditional, Hong Kong) |Chinese (Traditional, Taiwan) |Japanese |Korean |Hindi |Bengali |Marathi |Nepali |Punjabi (Gurmukhi) |Portuguese (Portugal) |Portuguese (Brazil) |Italian |Polish |Turkish |Greek |Thai |Swedish |Danish |Norwegian |Finnish |Dutch |Hebrew |Vietnamese |Indonesian |Malay |Tagalog (Filipino) |Swahili |Hungarian |Czech |Slovak |Romanian |Bulgarian |Serbian (Cyrillic) |Croatian |Slovenian

Generative AI for Beginners (Version 3) - A Course

Learn the fundamentals of building Generative AI applications with our 21-lesson comprehensive course by Microsoft Cloud Advocates.

🌱 Getting Started

This course has 21 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 bothPython andTypeScript when possible.

For .NET Developers checkoutGenerative AI for Beginners (.NET Edition)!

Each lesson also includes a "Keep Learning" section with additional learning tools.

What You Need

To run the code of this course, you can use either:

We have created aCourse Setup lesson to help you with setting up your development environment.

Don't forget tostar (🌟) this repo to find it easier later.

🧠 Ready to Deploy?

If you are looking for more advanced code samples, check out ourcollection of Generative AI Code Samples in bothPython andTypeScript.

🗣️ Meet Other Learners, Get Support

Join ourofficial Azure AI Foundry Discord server to meet and network with other learners taking this course and get support.

Ask questions or share product feedback in ourAzure AI Foundry Developer Forum on Github.

🚀 Building a Startup?

Sign up forMicrosoft for Startups Founders Hub to receivefree 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 orCreate 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 LinkDescriptionVideoExtra Learning
00Course SetupLearn: How to Setup Your Development EnvironmentVideo Coming SoonLearn More
01Introduction to Generative AI and LLMsLearn: Understanding what Generative AI is and how Large Language Models (LLMs) work.VideoLearn More
02Exploring and comparing different LLMsLearn: How to select the right model for your use caseVideoLearn More
03Using Generative AI ResponsiblyLearn: How to build Generative AI Applications responsiblyVideoLearn More
04Understanding Prompt Engineering FundamentalsLearn: Hands-on Prompt Engineering Best PracticesVideoLearn More
05Creating Advanced PromptsLearn: How to apply prompt engineering techniques that improve the outcome of your prompts.VideoLearn More
06Building Text Generation ApplicationsBuild: A text generation app using Azure OpenAI / OpenAI APIVideoLearn More
07Building Chat ApplicationsBuild: Techniques for efficiently building and integrating chat applications.VideoLearn More
08Building Search Apps Vector DatabasesBuild: A search application that uses Embeddings to search for data.VideoLearn More
09Building Image Generation ApplicationsBuild: An image generation applicationVideoLearn More
10Building Low Code AI ApplicationsBuild: A Generative AI application using Low Code toolsVideoLearn More
11Integrating External Applications with Function CallingBuild: What is function calling and its use cases for applicationsVideoLearn More
12Designing UX for AI ApplicationsLearn: How to apply UX design principles when developing Generative AI ApplicationsVideoLearn More
13Securing Your Generative AI ApplicationsLearn: The threats and risks to AI systems and methods to secure these systems.VideoLearn More
14The Generative AI Application LifecycleLearn: The tools and metrics to manage the LLM Lifecycle and LLMOpsVideoLearn More
15Retrieval Augmented Generation (RAG) and Vector DatabasesBuild: An application using a RAG Framework to retrieve embeddings from a Vector DatabasesVideoLearn More
16Open Source Models and Hugging FaceBuild: An application using open source models available on Hugging FaceVideoLearn More
17AI AgentsBuild: An application using an AI Agent FrameworkVideoLearn More
18Fine-Tuning LLMsLearn: The what, why and how of fine-tuning LLMsVideoLearn More
19Building with SLMsLearn: The benefits of building with Small Language ModelsVideo Coming SoonLearn More
20Building with Mistral ModelsLearn: The features and differences of the Mistral Family ModelsVideo Coming SoonLearn More
21Building with Meta ModelsLearn: The features and differences of the Meta Family ModelsVideo Coming SoonLearn More

🌟 Special thanks

Special thanks toJohn 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:


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