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📹 Videos:
1. LLM Introduction: https://t.co/1fnzbP5oa2
2. LLMs from Scratch: https://t.co/xBXDbkotml
3. Agentic AI Overview (Stanford): https://t.co/iIQ4QKgIBI
4. Building and Evaluating Agents: https://t.co/2LwfsnBG7k
5. Building Effective Agents: https://t.co/If4CrWRiL2
6. Building Agents with MCP: https://t.co/8v8XVYN1VK
7. Building an Agent from Scratch: https://t.co/hGsYFKV4ec
8. Philo Agents: https://t.co/x1qiw3m3Ar
🗂️ Repos
1. GenAI Agents: https://t.co/CAA2MgDOZl
2. Microsoft's AI Agents for Beginners: https://t.co/sriC8hbua6
3. Prompt Engineering Guide: https://t.co/f6kix7BbaL
4. Hands-On Large Language Models: https://t.co/WY18YIJF1x
5. AI Agents for Beginners: https://t.co/sriC8hbua6
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/gzkHUwgAuF
8. Hands-On AI Engineering:https://t.co/v4JIfdPhQ3
9. Awesome Generative AI Guide: https://t.co/EFG3nVx3cV
10. Designing Machine Learning Systems: https://t.co/BozY2q976u
11. Machine Learning for Beginners from Microsoft: https://t.co/GzgczmcSqY
12. LLM Course: https://t.co/UjFRGo7eFh
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/Q9eA0Ajpdp
2. Google's Agent Companion: https://t.co/g6g4p0Q3Pv
3. Building Effective Agents by Anthropic: https://t.co/RfxH2O79iW.
4. Claude Code Best Agentic Coding practices: https://t.co/pJYCZypnck
5. OpenAI's Practical Guide to Building Agents: https://t.co/fqMfl0lGlZ
📚Books:
1. Understanding Deep Learning: https://t.co/RigQBuzXV0
2. Building an LLM from Scratch: https://t.co/jqvTMuLdhL
3. The LLM Engineering Handbook: https://t.co/rUlGUUcAh9
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/xFnzqiCBN1
5. Building Applications with AI Agents - Michael Albada: https://t.co/PJplSIIwkb
6. AI Agents with MCP - Kyle Stratis: https://t.co/BObrpm2GKe
7. AI Engineering: https://t.co/fIN3OVU1J3
📜 Papers
1. ReAct: https://t.co/C4R8fV04Ea
2. Generative Agents: https://t.co/GuxEkVkWbF.
3. Toolformer: https://t.co/y8tbSOIcnb
4. Chain-of-Thought Prompting: https://t.co/ySwrgwi4s5.
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/chZXWRFcxE
2. MCP with Anthropic: https://t.co/z1nZFD8jeq
3. Building Vector Databases with Pinecone: https://t.co/UYg6y461Wu
4. Vector Databases from Embeddings to Apps: https://t.co/cTHBeQzSjC
5. Agent Memory: https://t.co/Od2ruLInu4
Repost for your network ♻️
Free AI certifications
you should get in 2026:
→ Google AI Essentials (Free)
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→ Microsoft AI Fundamentals (Free)
https://t.co/YMtFXB8kNK
→ IBM AI Engineering (Coursera)
https://t.co/lp0ISgILco
AI skill = future proof your career.
Save this later.
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