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Parag pawar
Parag pawar

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://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

🗂️ Repos

  1. 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

🗺️ Guides

  1. 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

📚 Books:

  1. 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

📜 Papers

  1. 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

🧑🏫 Courses:

  1. 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

👇 Comment “AI” for more resources

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