🌟 Awesome AI Agents & Learning Resources

A curated list of high-quality resources for learning, building, and understanding AI Agents, including agentic AI, LLM agents, multi-agent systems, reinforcement-learning agents, tool-use frameworks, and more.

Whether you're a beginner or an advanced practitioner, this list provides the best videos, courses, guides, and repositories to accelerate your journey in Agentic AI.

📚 Table of Contents

• 📹 Videos
• 🗂️ Repositories
• 🗺️ Guides
• 🧑‍🏫 Courses
• 🤝 Contributing
• 📜 License

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📹 Videos

1. LLM Introduction — Andrej Karpathy
   https://www.youtube.com/watch?v=zjkBMFhNj_g

2. LLMs from Scratch — Karpathy
   https://www.youtube.com/watch?v=9vM4p9NN0Ts

3. Agentic AI Overview (Stanford)
   https://www.youtube.com/watch?v=kJLiOGle3Lw

4. Building and Evaluating Agents
   https://www.youtube.com/watch?v=d5EltXhbcfA

5. Building Effective Agents (Anthropic)
   https://www.youtube.com/watch?v=D7_ipDqhtwk

6. Building Agents with MCP (OpenAI)
   https://www.youtube.com/watch?v=kQmXtrmQ5Zg

7. Building an Agent From Scratch
   https://www.youtube.com/watch?v=xzXdLRUyjUg

8. Philo Agents — Playlist
   https://www.youtube.com/playlist?list=PLacQJwuclt_sV-tfZmpT1Ov6jldHl30NR

9. Complete n8n Masterclass: Build Al Agents & Automate Workflows (Zero to Hero) - By Mayank Aggarwal https://www.youtube.com/watch?v=DkV7ztrhLh8

10. What is n8n in Hindi. Fastest and easiest self deployment too - By Chai aur Code

    https://www.youtube.com/watch?v=tysDxjfgLMg

11. MCP for beginners | Integration with AI Agents | Practical with visual - By Mayank Aggarwal

    https://www.youtube.com/watch?v=kFcb9861yg0

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🗂️ Repositories

1. GenAI Agents
   https://github.com/nirdiamant/GenAI_Agents

2. Microsoft: AI Agents for Beginners
   https://github.com/microsoft/ai-agents-for-beginners

3. Prompt Engineering Guide (dair-ai)
   https://github.com/dair-ai/Prompt-Engineering-Guide

4. Hands-On Large Language Models
   https://github.com/HandsOnLLM/Hands-On-Large-Language-Models

5. Made With ML
   https://github.com/GokuMohandas/Made-With-ML

6. Hands-On AI Engineering
   https://github.com/Sumanth077/Hands-On-AI-Engineering

7. Awesome Generative AI Guide
   https://github.com/aishwaryanr/awesome-generative-ai-guide

8. Designing Machine Learning Systems (Chip Huyen)
   https://github.com/chiphuyen/dmls-book

9. Machine Learning for Beginners — Microsoft
   https://github.com/microsoft/ML-For-Beginners

10. LLM Course (mlabonne)
    https://github.com/mlabonne/llm-course

11. GenAI Agents — Mirror Repo
    https://github.com/NirDiamant/GenAI_Agents

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🗺️ Guides

1. Google's Agent Whitepaper
   https://www.kaggle.com/whitepaper-agents

2. Google's Agent Companion
   https://www.kaggle.com/whitepaper-agent-companion

3. Anthropic — Building Effective Agents
   https://www.anthropic.com/engineering/building-effective-agents

4. Claude Code — Best Agentic Coding Practices
   https://www.anthropic.com/engineering/claude-code-best-practices

5. OpenAI — Practical Guide to Building Agents
   https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf

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🧑‍🏫 Courses

1. HuggingFace Agents Course
   https://huggingface.co/learn/agents-course/en/unit0/introduction

2. Building Vector Databases (Pinecone)
   https://www.deeplearning.ai/short-courses/building-applications-vector-databases/

3. Vector Databases: From Embeddings to Apps
   https://www.deeplearning.ai/short-courses/vector-databases-embeddings-applications/

4. Agent Memory — LLMs as Operating Systems
   https://www.deeplearning.ai/short-courses/llms-as-operating-systems-agent-memory/

5. Advanced RAG: Building and Evaluating
   https://www.deeplearning.ai/short-courses/building-evaluating-advanced-rag/

6. Building Browser Agents
   https://www.deeplearning.ai/short-courses/building-ai-browser-agents/

7. LLMOps
   https://www.deeplearning.ai/short-courses/llmops/

8. Evaluating AI Agents
   https://www.deeplearning.ai/short-courses/evaluating-ai-agents/

9. Computer Use with Anthropic
   https://www.deeplearning.ai/short-courses/building-towards-computer-use-with-anthropic/

10. Practical Multi-AI Agents (CrewAI)
    https://www.deeplearning.ai/short-courses/practical-multi-ai-agents-and-advanced-use-cases-with-crewai/

11. Improving LLM Accuracy
    https://www.deeplearning.ai/short-courses/improving-accuracy-of-llm-applications/

12. Agent Design Patterns (Anthropic)
    https://www.deeplearning.ai/short-courses/building-towards-computer-use-with-anthropic/

13. Multi-Agent Systems — CrewAI
    https://www.deeplearning.ai/short-courses/multi-ai-agent-systems-with-crewai/

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🤝 Contributing

Contributions are welcome!

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📜 License

MIT License — free to use and share.