# Stop wasting hours trying to learn AI. I have already done it for you. With o... Canonical: https://social-archive.org/yena/H6veH1n2Y1 Original URL: https://x.com/promptparag/status/2070717970137915640 Author: Parag pawar Platform: x ## Content Stop wasting hours trying to learn AI. I have already done it for you. With one list. Zero confusion. And no fluff. πŸ“Ή Videos: 1. LLM Introduction: http://lnkd.in/dMqbaZdK 2. LLMs from Scratch: http://lnkd.in/dYYwEhYy 3. Agentic AI Overview (Stanford): http://lnkd.in/dArmMt2i 4. Building and Evaluating Agents: http://lnkd.in/dBWd2W8u 5. Building Effective Agents: http://lnkd.in/dHfdebqw 6. Building Agents with MCP: http://lnkd.in/dXuNHrRJ 7. Building an Agent from Scratch: http://lnkd.in/da3ANw3w 8. Philo Agents: http://lnkd.in/dq-BfZE5 πŸ—‚οΈ Repos 9. GenAI Agents: http://lnkd.in/d3UDtwwv 2. Microsoft's AI Agents for Beginners: http://lnkd.in/dHvTmJnv 3. Prompt Engineering Guide: http://lnkd.in/gJjGbxQr 4. Hands-On Large Language Models: http://lnkd.in/dxaVF86w 5. AI Agents for Beginners: http://lnkd.in/dHvTmJnv 6. GenAI Agents: http://lnkd.in/dEt72MEy 7. Made with ML: http://lnkd.in/d2dMACMj 8. Hands-On AI Engineering: http://lnkd.in/dgQtRyk7 9. Awesome Generative AI Guide: http://lnkd.in/dJ8gxp3a 10. Designing Machine Learning Systems: http://lnkd.in/dEx8sQJK 11. Machine Learning for Beginners from Microsoft: http://lnkd.in/dBj3BAEY 12. LLM Course: http://lnkd.in/diZgGACG πŸ—ΊοΈ Guides 13. Google's Agent Whitepaper: http://lnkd.in/gFvCfbSN 2. Google's Agent Companion: http://lnkd.in/gfmCrgAH 3. Building Effective Agents by Anthropic: http://lnkd.in/gRWKANS4 4. Claude Code Best Agentic Coding practices: http://lnkd.in/gs99zyCf 5. OpenAI's Practical Guide to Building Agents: http://lnkd.in/guRfXsFK πŸ“š Books: 6. Understanding Deep Learning: http://lnkd.in/dgcB68Qt 2. Building an LLM from Scratch: http://lnkd.in/g2YGbnWS 3. The LLM Engineering Handbook: http://lnkd.in/gWUT2EXe 4. AI Agents: The Definitive Guide - Nicole Koenigstein: http://lnkd.in/dJ9wFNMD 5. Building Applications with AI Agents - Michael Albada: http://lnkd.in/dSs8srk5 6. AI Agents with MCP - Kyle Stratis: http://lnkd.in/dR22bEiZ 7. AI Engineering: http://lnkd.in/gi-mQcXa πŸ“œ Papers 8. ReAct: http://lnkd.in/gRBH3ZRq 2. Generative Agents: http://lnkd.in/gsDCUsWm 3. Toolformer: http://lnkd.in/gyzrege6 4. Chain-of-Thought Prompting: http://lnkd.in/gaK5CXzD πŸ§‘πŸ« Courses: 5. HuggingFace's Agent Course: http://lnkd.in/gmTftTXV 2. MCP with Anthropic: http://lnkd.in/geffcwdq 3. Building Vector Databases with Pinecone: http://lnkd.in/gCS4sd7Y 4. Vector Databases from Embeddings to Apps: http://lnkd.in/gm9HR6_2 5. Agent Memory: http://lnkd.in/gNFpC542 πŸ‘‡ Comment β€œAI” for more resources Repost for your network ♻️ Bookmark for future.