Stop wasting hours trying to learn AI. I have already done it for you. With one list. Zero confusion. And no fluff. 📹 Videos: 1. LLM Introduction: 2. LLMs from Scratch: 3. Agentic AI Overview (Stanford): 4. Building and Evaluating Agents: 5. Building Effective Agents: 6. Building Agents with MCP: 7. Building an Agent from Scratch: 8. Philo Agents: 🗂️ Repos 1. GenAI Agents: 2. Microsoft's AI Agents for Beginners: 3. Prompt Engineering Guide: 4. Hands-On Large Language Models: 5. AI Agents for Beginners: 6. GenAI Agents: 7. Made with ML: 8. Hands-On AI Engineering: 9. Awesome Generative AI Guide: 10. Designing Machine Learning Systems: 11. Machine Learning for Beginners from Microsoft: 12. LLM Course: 🗺️ Guides 1. Google's Agent Whitepaper: 2. Google's Agent Companion: 3. Building Effective Agents by Anthropic: 4. Claude Code Best Agentic Coding practices: 5. OpenAI's Practical Guide to Building Agents: 📚 Books: 1. Understanding Deep Learning: 2. Building an LLM from Scratch: 3. The LLM Engineering Handbook: 4. AI Agents: The Definitive Guide - Nicole Koenigstein: 5. Building Applications with AI Agents - Michael Albada: 6. AI Agents with MCP - Kyle Stratis: 7. AI Engineering: 📜 Papers 1. ReAct: 2. Generative Agents: 3. Toolformer: 4. Chain-of-Thought Prompting: 🧑🏫 Courses: 1. HuggingFace's Agent Course: 2. MCP with Anthropic: 3. Building Vector Databases with Pinecone: 4. Vector Databases from Embeddings to Apps: 5. Agent Memory: 👇 Comment “AI” for more resources Repost for your network ♻️ Bookmark for future.