Awesome AI Agent Stack

Learning Path

Ordered roughly from beginner to advanced.

Foundations

• microsoft/AI-For-Beginners - 12-week AI curriculum.
• microsoft/generative-ai-for-beginners - 21 lessons on building with generative AI.
• mlabonne/llm-course - LLM roadmap with Colab notebooks.
• markredito/selfstudy-roadmap-ml-ai - Self-study ML/AI roadmap.
• aadi1011/AI-ML-Roadmap-from-scratch - 0-to-100 AI/ML roadmap.
• Developer-Y/cs-video-courses - CS courses with video lectures.
• GokuMohandas/Made-With-ML - Learn how to develop, deploy and iterate on production-grade ML applications.
• microsoft/ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all.
• ageron/handson-ml3 - Code companion for Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow.
• mrdbourke/learn-huggingface - Learn the Hugging Face ecosystem: transformers, datasets, accelerate.
• gonzachiar/deep-learning-course-notebooks - Deep learning course notebooks following Geron's ML book.
• ksopyla/pytorch-course - Hands-on PyTorch course covering tensors, autograd, and networks.
• balloontip/deep-learning - Code and notebooks for Deep Learning: From Curiosity to Mastery.
• nageshnnazare/pytorch-know-hows - Practical PyTorch tips and know-hows.
• louisfb01/start-machine-learning - Complete guide to starting and improving in ML and AI.
• christophM/interpretable-ml-book - Free online book on interpretable machine learning.
• chiphuyen/dmls-book - Summaries and resources for Designing Machine Learning Systems.
• fastai/fastbook - The fast.ai deep learning book as Jupyter notebooks.
• mrdbourke/pytorch-deep-learning - Zero-to-mastery PyTorch course notebooks.
• huggingface/diffusion-models-class - Hugging Face course on diffusion models.
• trekhleb/homemade-machine-learning - ML algorithms implemented from scratch in Python.
• pytorch/tutorials - Official PyTorch tutorials and recipes.
• donnemartin/system-design-primer - Learn large-scale system design with examples.
• nilbuild/developer-roadmap - Roadmaps for developers learning any stack.
• keras-team/keras-io - Keras examples, guides and tutorials.
• pytorch/examples - Official PyTorch example projects.
• freeCodeCamp/freeCodeCamp - Full free coding curriculum from HTML to ML.
• ossu/computer-science - Complete CS degree path using free online courses.
• trekhleb/javascript-algorithms - Algorithms and data structures in JavaScript.
• DataTalksClub/mlops-zoomcamp - Free MLOps course from DataTalks.Club. Register here to get notified about the next cohort.
• TheOdinProject/curriculum - Free full-stack web development curriculum.
• udlbook/udlbook - Understanding Deep Learning, the book by Simon Prince, with notebooks.
• yandexdataschool/nlp_course - Yandex Data School's natural language processing course.
• DataTalksClub/machine-learning-zoomcamp - Free four-month course in machine learning engineering.
• rasbt/machine-learning-book - Code for Machine Learning with PyTorch and Scikit-Learn.
• ageron/handson-mlp - Notebooks on machine learning and deep learning fundamentals.
• microsoft/Data-Science-For-Beginners - Microsoft's 10-week data science curriculum.
• greyhatguy007/Machine-Learning-Specialization-Coursera - Notes and solutions for Andrew Ng's Machine Learning Specialization.

Agents & AI engineering

• microsoft/ai-agents-for-beginners - 18 lessons on building agents.
• rohitg00/ai-engineering-from-scratch - Learn it, build it, ship it.
• patchy631/ai-engineering-hub - In-depth tutorials on LLMs, RAG and agents.
• chiphuyen/aie-book - Resources for Chip Huyen's *AI Engineering*.
• HandsOnLLM/Hands-On-Large-Language-Models - Code for the O'Reilly book.
• ProjectProRepo/Agentic-AI - Agentic AI learning resources.
• mdhabibi/llm-search-handbook - Beginner-to-expert open course on LLMs and semantic search.
• Rishurajgautam24/prompt-engineering-course - Hands-on prompt engineering course in Jupyter notebooks.
• rajurh/foundrytoolkit-ai-agents - Foundry Toolkit with VS Code and AI agents demo.
• ellacharmed/5dgai-okf-tutor - AI tutor built for the 5-day AI agents vibe-coding course.
• brevdev/workshop-build-an-agent - Hands-on NVIDIA workshop: create, deploy, and evaluate AI agents.
• AdilShamim8/Agentic-AI-Roadmap-with-Notes-and-Projects - Comprehensive roadmap and resources for agentic AI with LangGraph.
• KhaledTurk/agentic-ai-course - Code-first course building agents with the Claude API end to end.
• WenRui-MA7238/llm-finetuning-qwen3 - LLM fine-tuning with LoRA, QLoRA, and PEFT for Qwen3.
• gauravz7/learn-mcp - Hands-on Model Context Protocol tutorial: servers, agents, skills.
• ShadowQuill/langchain-langgraph-tutorial - Structured LangChain and LangGraph tutorial with 26 runnable examples.
• psssnikhil/ai-engineering-hub - Open-source AI engineering handbook with lessons and exercises.
• Turi-Labs/AI-Agent-Learn - Resources, cookbooks, and knowledge on AI agents.
• huggingface/agents-course - The official Hugging Face agents course.
• Rubonal4649/ai-engineering-from-scratch - 260+ lessons across 20 phases covering AI engineering from scratch.
• PacktPublishing/LLM-Engineers-Handbook - Practical LLM engineer guide: fine-tuning, RAG, deployment, LLMOps.
• DataTalksClub/llm-zoomcamp - Free LLM engineering course with hands-on projects.
• langchain-ai/langchain-academy - Official LangChain and agent engineering lessons.
• DataTalksClub/data-engineering-zoomcamp - Free data engineering course with projects.
• youngyangyang04/llm-master - Chinese full-stack LLM learning path covering prompting, RAG, agents, MCP and fine-tuning.
• datawhalechina/all-in-rag - Hands-on tutorial covering the full RAG technology stack for LLM applications.
• bojieli/ai-agent-book - Open-source book on AI agent design principles with chapter code.
• Anil-matcha/ai-creator-academy - Free open curriculum for building with generative image, video and audio models.
• FareedKhan-dev/langgraph-101 - LangGraph fundamentals in notebooks.
• walkinglabs/learn-harness-engineering - Beginner tutorial on agent harness engineering, from zero to one.
• ed-donner/llm_engineering - Code for the Mastering LLM Engineering course.
• datawhalechina/deepagents-in-action - Guide to building production agents with LangChain Deep Agents (Chinese).

Cookbooks

• openai/openai-cua-sample-app - Learn how to use CUA (our Computer Using Agent) via the API on multiple computer environments.
• openai/openai-cookbook - Examples and guides for using the OpenAI API.
• anthropics/claude-cookbooks - A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
• steel-dev/steel-cookbook - Examples and guides for using the Steel API.
• nebius/token-factory-cookbook - Guides and examples for building apps with open models.
• ferro-labs/ai-gateway-cookbook - Runnable recipes for LangChain and LangGraph agents via AI gateway.
• google-gemini/cookbook - Google Gemini API examples and guides.
• GoogleCloudPlatform/generative-ai - Google Cloud generative AI samples and notebooks.
• meta-llama/llama-cookbook - Meta's recipes for inference, fine-tuning and RAG with Llama.

Build it from scratch

• analyticalrohit/llms-from-scratch - Build a GPT-style LLM from scratch in PyTorch.
• GeeeekExplorer/nano-vllm - Minimal from-scratch reimplementation of vLLM for learning how it works.
• sgl-project/mini-sglang - Compact reimplementation of SGLang that demystifies modern LLM serving.
• skyzh/tiny-llm - Build a tiny vLLM from scratch to learn LLM inference systems on Apple Silicon.
• rasbt/LLMs-from-scratch - Implement a ChatGPT-like LLM in PyTorch from scratch, step by step.
• jingyaogong/minimind - Train a 64M-parameter LLM from scratch in just 2h!.
• karpathy/nanochat - The best ChatGPT that $100 can buy.
• karpathy/micrograd - Tiny autograd engine; build backpropagation from scratch.
• MAlshurbaji/LLM-Playground-From-Scratch - Build a miniature LLM from scratch with real-world techniques.
• kunjcr2/llms-from-scratch - Explanations and code for everything LLM and machine learning.
• anchitgupt/learn_llm_code - Build an LLM from scratch in 15 runnable Python scripts.
• somilsin/Transformers_Large-Language-Models - Documented from-scratch implementations of transformers and LLMs.
• labmlai/annotated_deep_learning_paper_implementations - Paper implementations with line-by-line notes.
• lucidrains/vit-pytorch - Vision Transformer implementations for study.

Reinforcement learning

• huggingface/deep-rl-class - Official Hugging Face deep reinforcement learning course.
• mhahsler/Introduction_to_Reinforcement_Learning - University RL course with Python examples and assignments.
• denis-samatov/reinforcement-learning-course - Practical RL course from MDPs through RLHF with PyTorch.
• vwxyzjn/cleanrl - Clean single-file implementations of RL algorithms.
• DLR-RM/stable-baselines3 - Reliable reinforcement learning baselines in PyTorch.

Must-read essays & guides

• Anthropic — Building effective agents - Workflows vs agents, and the patterns that actually work.
• Anthropic — Effective context engineering - Managing what goes into the context window.
• OpenAI — A practical guide to building agents - Orchestration, guardrails and when to use agents.
• Lilian Weng — LLM Powered Autonomous Agents - The canonical survey: planning, memory, tool use.
• humanlayer/12-factor-agents - Principles for reliable LLM applications.
• The Prompt Report - Systematic survey of prompting techniques.
• Mooler0410/LLMsPracticalGuide - A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers).

Research

• Hannibal046/Awesome-LLM - Curated LLM papers and resources.
• masamasa59/ai-agent-papers - Agent papers, updated biweekly.
• kyegomez/awesome-multi-agent-papers - Best multi-agent papers.
• aishwaryanr/awesome-generative-ai-guide - GenAI research updates and interview prep.
• papers-we-love/papers-we-love - Reading group for classic CS papers.
• LAMDA-NeSy/Research-Starter-Kit - Starter guide to doing AI research and writing papers (Chinese).

Interview prep

• ffaisal93/ml_and_llm_learning - ML and LLM coding interview prep with implementations and Q&A.
• jwasham/coding-interview-university - Self-study plan for coding interviews.
• rust-lang/rustlings - Learn Rust through small interactive exercises.
• yangshun/tech-interview-handbook - Interview prep handbook for software engineers.
• kdn251/interviews - Curated interview questions and study material.