AI Cheat Sheet

Welcome to the AI Cheat Sheet, your ultimate guide to the world of Artificial Intelligence. This curated repository is a comprehensive collection of resources for anyone interested in Generative AI (GenAI), Large Language Models (LLMs), and Agentic AI. Here you will find a hand-picked list of popular GitHub repositories, essential tools and frameworks, in-depth courses, and expert-led YouTube videos. Whether you're a beginner looking to understand the fundamentals of Retrieval-Augmented Generation (RAG) and Prompt Engineering, or an experienced practitioner exploring advanced topics like Fine-Tuning, AI Agents, and Vector Databases, this cheat sheet is designed to be your go-to resource.

Contents

• Getting Started: Courses & Projects

  • Projects
  • Free Courses

• Favorite YouTube Videos for AI Agents

• Awesome Lists

• Books

• AI/ML Tools & Frameworks

  • AI Gateway
  • AI Workload Manager
  • Copilot Development
  • Dataset Engineering
  • Evaluation
  • Fine Tuning
  • Function Calling
  • Graph RAG
  • Guardrails
  • Local Model Inference
  • LLM Agent Framework
  • Model Serving
  • Observability
  • Pre Training
  • Prompt Engineering
  • RAG Framework
  • Security
  • Structured Extraction
  • Structured Generation
  • Vector DB

Getting Started: Courses & Projects

Projects

Name	Author	Description	Stars
Hands-On-Large-Language-Models	HandsOnLLM	Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Made-With-ML	GokuMohandas	Learn how to design, develop, deploy, and iterate on production-grade ML applications.
agents	ed-donner	Repo for the Complete Agentic AI Engineering Course
GenAI_Agents	NirDiamant	Tutorials and implementations for Generative AI Agent techniques.
agents-towards-production	NirDiamant	End-to-end tutorials for production-grade GenAI agents.
ai-agents-for-beginners	microsoft	12 Lessons to Get Started Building AI Agents

Free Courses

Name	Author	Description
Anthropic for Developers	Anthropic	Courses on AI development, integration, and fluency.
Generative AI for Everyone	DeepLearning.AI	A foundational course by Andrew Ng on Generative AI concepts.
Large Language Models (LLMs) - Level 1	Coursera & H2O.ai	An introductory course on the basics of Large Language Models.
ChatGPT Prompt Engineering for Developers	DeepLearning.AI & OpenAI	Learn how to craft effective prompts for LLM applications.
Preprocessing Unstructured Data for LLM Apps	DeepLearning.AI & Unstructured	Techniques for handling and preprocessing unstructured data for LLMs.
Getting Started with Generative AI API Specialization	Coursera & Codio	Fundamentals of using Generative AI APIs for building applications.
Introduction to Retrieval Augmented Generation (RAG)	Coursera	An essential guide to understanding and using RAG.
Fundamentals of AI Agents Using RAG and LangChain	Coursera & IBM	An introduction to AI agents using RAG and LangChain.
LangChain for LLM Application Development	DeepLearning.AI & LangChain	Exploring agent frameworks with LangChain for LLM development.
Build Autonomous AI Agents From Scratch With Python	Udemy	A practical course on building simple AI agents with Python.
AI Agentic Design Patterns with AutoGen	Coursera & Microsoft	Understanding agent workflows and design patterns with AutoGen.

Favorite YouTube Videos for AI Agents

Topic	Title	Description
LLM Introduction	How LLMs like GPT-4, Claude, and Gemini actually work	Yannic Kilcher's foundational explanation.
LLMs from Scratch	Building Transformers from Scratch	Deep technical dive into transformer architecture.
Agentic AI Overview	Stanford Seminar - The Future of AI is Agentic	Stanford researchers explain why AI agents matter.
Building & Evaluating Agents	Building and Evaluating Agents	Comprehensive guide covering construction and testing.
Building Effective Agents	Building Effective Agents	Practical strategies for creating useful agents.
Building Agents with MCP	Building Agents with Microsoft's Model Context Protocol	Tutorial on MCP framework for agent orchestration.
Building an Agent from Scratch	Building an Agent from Scratch	Hands-on tutorial showing how agent systems connect.
Philo Agents (Playlist)	Philo Agents (Playlist)	Advanced agent simulation series by Paul Iustzin.

Awesome Lists

Name	Author	Description	Stars
awesome-mcp-servers	appcypher	A curated list of Model Context Protocol servers.
awesome-mcp-clients	punkpeye	A collection of Model Context Protocol clients.

Books

Name	Author	Description
Agentic Design Patterns	Antonio Gulli	A 400-page free book on Agentic Design Patterns, covering advanced prompting, multi-agent design, tool use, memory management, and more.

AI/ML Tools & Frameworks

AI Gateway

Name	Repository	Stars
Kong	Kong/kong	![GitHub Repo stars](https://img.shields.io/github/