🚨JUST IN: 7 hours ago ANDREW NG dropped one of the MOST VALUABLE FREE AI COURSES OF 2026.
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1. LLM Introduction: https://t.co/kyDon6qLrb
2. LLMs from Scratch: https://t.co/2hyMhuKoiI
3. Agentic AI Overview (Stanford): https://t.co/FXu6cAqITC
4. Building and Evaluating Agents: https://t.co/ZigR1tdOFL
5. Building Effective Agents: https://t.co/uYwfwO55mO
6. Building Agents with MCP: https://t.co/4arFTW1b3i
7. Building an Agent from Scratch: https://t.co/eOmveyM9Hz
8. Philo Agents: https://t.co/zLu7x1tx9m
🗂️ Repos
1. GenAI Agents: https://t.co/eXCl2YaRPv
2. Microsoft's AI Agents for Beginners: https://t.co/3CSW4zPAwf
3. Prompt Engineering Guide: https://t.co/GVzvxPYDVO
4. Hands-On Large Language Models: https://t.co/0rgDvhx3pI
5. AI Agents for Beginners: https://t.co/3CSW4zPAwf
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/9z5KHF9DMe
8. Hands-On AI Engineering:https://t.co/dldAj5Xkr6
9. Awesome Generative AI Guide: https://t.co/U2WZhT4ERV
10. Designing Machine Learning Systems: https://t.co/sYAZX34YdQ
11. Machine Learning for Beginners from Microsoft: https://t.co/NjFxHbC9jZ
12. LLM Course: https://t.co/N34YTPu1OK
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/bW3Ov3vMW0
2. Google's Agent Companion: https://t.co/wredwWAbBA
3. Building Effective Agents by Anthropic: https://t.co/fxtE4alVrJ.
4. Claude Code Best Agentic Coding practices: https://t.co/lLSwJ9pG7C
5. OpenAI's Practical Guide to Building Agents: https://t.co/xgkEIogGfh
📚Books:
1. Understanding Deep Learning: https://t.co/CjcKpTemmV
2. Building an LLM from Scratch: https://t.co/DaWBxOx8o3
3. The LLM Engineering Handbook: https://t.co/ZA1n0N41Mf
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/boLkl1VlKb
5. Building Applications with AI Agents - Michael Albada: https://t.co/H1Xf5EkJLL
6. AI Agents with MCP - Kyle Stratis: https://t.co/JI3ELQZE6a
7. AI Engineering: https://t.co/Xk0JzMIf7o
📜 Papers
1. ReAct: https://t.co/QNqE4UU55w
2. Generative Agents: https://t.co/CwEpoJgY1U.
3. Toolformer: https://t.co/5m9xZd5teZ
4. Chain-of-Thought Prompting: https://t.co/KjVlgdWi77.
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/7FSUYKxIdG
2. MCP with Anthropic: https://t.co/IkZGiWm2yS
3. Building Vector Databases with Pinecone: https://t.co/2YRoMfLdXd
4. Vector Databases from Embeddings to Apps: https://t.co/23A50ixbHJ
5. Agent Memory: https://t.co/uc3L9BrNF7
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💼 300 Real SQL Interview Questions (with Solutions) 📘
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🚀 The Complete Guide to Building AI Agents — From Zero to Production 🤖
AI Agents are the next big leap in automation — they can think, plan, and execute tasks just like humans ⚡
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Databricks.
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