@ajitcodes: Stop wasting hours trying to learn AI. I have already done it for you. With one list. Zero confusion. And no fluff. Vid…

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A curated collection of links to videos, repositories, guides, books, and papers for learning about AI, LLMs, and building AI agents.

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: http://t.co/kyDon6qLrb 2. LLMs from Scratch: http://t.co/2hyMhuKoiI 3. Agentic AI Overview (Stanford): http://t.co/FXu6cAqITC 4. Building and Evaluating Agents: http://t.co/ZigR1tdOFL 5. Building Effective Agents: http://t.co/uYwfwO55mO 6. Building Agents with MCP: http://t.co/4arFTW1b3i 7. Building an Agent from Scratch: http://t.co/eOmveyM9Hz 8. Philo Agents: http://t.co/zLu7x1tx9m Repos 1. GenAI Agents: http://t.co/eXCl2YaRPv 2. Microsoft's AI Agents for Beginners: http://t.co/3CSW4zPAwf 3. Prompt Engineering Guide: http://t.co/GVzvxPYDVO 4. Hands-On Large Language Models: http://t.co/0rgDvhx3pI 5. AI Agents for Beginners: http://t.co/3CSW4zPAwf 6. GenAI Agents: http://lnkd.in/dEt72MEy 7. Made with ML: http://t.co/9z5KHF9DMe 8. Hands-On AI Engineering: http://t.co/dldAj5Xkr6 9. Awesome Generative AI Guide: http://t.co/U2WZhT4ERV 10. Designing Machine Learning Systems: http://t.co/sYAZX34YdQ 11. Machine Learning for Beginners from Microsoft: http://t.co/NjFxHbC9jZ 12. LLM Course: http://t.co/N34YTPu1OK Guides 1. Google's Agent Whitepaper: http://t.co/bW3Ov3vMW0 2. Google's Agent Companion: http://t.co/wredwWAbBA 3. Building Effective Agents by Anthropic: http://t.co/fxtE4alVrJ 4. Claude Code Best Agentic Coding practices: http://t.co/lLSwJ9pG7C 5. OpenAI's Practical Guide to Building Agents: http://t.co/xgkEIogGfh Books: 1. Understanding Deep Learning: http://t.co/CjcKpTemmV 2. Building an LLM from Scratch: http://t.co/DaWBxOx8o3 3. The LLM Engineering Handbook: http://t.co/ZA1n0N41Mf 4. AI Agents: The Definitive Guide - Nicole Koenigstein: http://t.co/boLkl1VlKb 5. Building Applications with AI Agents - Michael Albada: http://t.co/H1Xf5EkJLL 6. AI Agents with MCP - Kyle Stratis: http://t.co/JI3ELQZE6a 7. AI Engineering: http://t.co/Xk0JzMIf7o Papers 1. ReAct: http://t.co/QNqE4UU55w 2. Generative Agents: http://t.co/CwEpoJgY1U 3. Toolformer: http://t.co/5m9xZd5teZ 4. Chain-of-Thought Prompting: http://t.co/KjVlgdWi77 Courses: 1. HuggingFace's Agent Course: http://t.co/7FSUYKxIdG 2. MCP with Anthropic: http://t.co/IkZGiWm2yS 3. Building Vector Databases with Pinecone: http://t.co/2YRoMfLdXd 4. Vector Databases from Embeddings to Apps: http://t.co/23A50ixbHJ 5. Agent Memory: http://t.co/uc3L9BrNF7 Follow @iansh04_ for more!! Comment “AI” for more resources Repost for your network Bookmark for future.
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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: http://t.co/kyDon6qLrb 2. LLMs from Scratch: http://t.co/2hyMhuKoiI 3. Agentic AI Overview (Stanford): http://t.co/FXu6cAqITC 4. Building and Evaluating Agents: http://t.co/ZigR1tdOFL 5. Building Effective Agents: http://t.co/uYwfwO55mO 6. Building Agents with MCP: http://t.co/4arFTW1b3i 7. Building an Agent from Scratch: http://t.co/eOmveyM9Hz 8. Philo Agents: http://t.co/zLu7x1tx9m Repos 1. GenAI Agents: http://t.co/eXCl2YaRPv 2. Microsoft’s AI Agents for Beginners: http://t.co/3CSW4zPAwf 3. Prompt Engineering Guide: http://t.co/GVzvxPYDVO 4. Hands-On Large Language Models: http://t.co/0rgDvhx3pI 5. AI Agents for Beginners: http://t.co/3CSW4zPAwf 6. GenAI Agents: http://lnkd.in/dEt72MEy 7. Made with ML: http://t.co/9z5KHF9DMe 8. Hands-On AI Engineering: http://t.co/dldAj5Xkr6 9. Awesome Generative AI Guide: http://t.co/U2WZhT4ERV 10. Designing Machine Learning Systems: http://t.co/sYAZX34YdQ 11. Machine Learning for Beginners from Microsoft: http://t.co/NjFxHbC9jZ 12. LLM Course: http://t.co/N34YTPu1OK Guides 1. Google’s Agent Whitepaper: http://t.co/bW3Ov3vMW0 2. Google’s Agent Companion: http://t.co/wredwWAbBA 3. Building Effective Agents by Anthropic: http://t.co/fxtE4alVrJ 4. Claude Code Best Agentic Coding practices: http://t.co/lLSwJ9pG7C 5. OpenAI’s Practical Guide to Building Agents: http://t.co/xgkEIogGfh Books: 1. Understanding Deep Learning: http://t.co/CjcKpTemmV 2. Building an LLM from Scratch: http://t.co/DaWBxOx8o3 3. The LLM Engineering Handbook: http://t.co/ZA1n0N41Mf 4. AI Agents: The Definitive Guide - Nicole Koenigstein: http://t.co/boLkl1VlKb 5. Building Applications with AI Agents - Michael Albada: http://t.co/H1Xf5EkJLL 6. AI Agents with MCP - Kyle Stratis: http://t.co/JI3ELQZE6a 7. AI Engineering: http://t.co/Xk0JzMIf7o Papers 1. ReAct: http://t.co/QNqE4UU55w 2. Generative Agents: http://t.co/CwEpoJgY1U 3. Toolformer: http://t.co/5m9xZd5teZ 4. Chain-of-Thought Prompting: http://t.co/KjVlgdWi77 Courses: 1. HuggingFace’s Agent Course: http://t.co/7FSUYKxIdG 2. MCP with Anthropic: http://t.co/IkZGiWm2yS 3. Building Vector Databases with Pinecone: http://t.co/2YRoMfLdXd 4. Vector Databases from Embeddings to Apps: http://t.co/23A50ixbHJ 5. Agent Memory: http://t.co/uc3L9BrNF7 Follow @iansh04_ for more!! Comment “AI” for more resources Repost for your network Bookmark for future.


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