15/11/2025
🔥 Playlist học AI Agents từ kỹ sư AI người Ấn Độ – nguồn cực chất cho anh em AI/ML
Gần đây mình có xem một bài chia sẻ rất hay từ một kỹ sư AI người Ấn Độ về tập hợp các nguồn học AI Agents — từ cơ bản đến nâng cao, bao gồm tài liệu, video, khóa học, repo, và demo thực chiến. Bài viết đó đã nhận được hàng nghìn lượt tương tác trong cộng đồng quốc tế nhờ tính thực tiễn, dễ tiếp cận và định hướng rõ ràng.
Thấy nội dung cực kỳ giá trị, mình chia sẻ lại cho mọi người tại đây để có thêm roadmap học AI Agents bài bản. Hy vọng bài viết sẽ giúp các bạn tiết kiệm thời gian tìm tài liệu, học nhanh – hiểu sâu – ứng dụng được ngay 😁
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📹 Videos:
1. LLM Introduction: https://www.youtube.com/watch?v=zjkBMFhNj_g
2. LLMs from Scratch: https://www.youtube.com/watch?v=9vM4p9NN0Ts
3. Agentic AI Overview (Stanford): https://www.youtube.com/watch?v=kJLiOGle3Lw
4. Building and Evaluating Agents: https://www.youtube.com/watch?v=d5EltXhbcfA
5. Building Effective Agents: https://www.youtube.com/watch?v=D7_ipDqhtwk
6. Building Agents with MCP: https://www.youtube.com/watch?v=kQmXtrmQ5Zg
7. Building an Agent from Scratch: https://www.youtube.com/watch?v=xzXdLRUyjUg
8. Philo Agents: https://www.youtube.com/playlist?list=PLacQJwuclt_sV-tfZmpT1Ov6jldHl30NR
🗂️ Repos
1. GenAI Agents: https://github.com/nirdiamant/GenAI_Agents
2. Microsoft's AI Agents for Beginners: https://github.com/microsoft/ai-agents-for-beginners
3. Prompt Engineering Guide: https://lnkd.in/gJjGbxQr
4. Hands-On Large Language Models: https://lnkd.in/dxaVF86w
5. AI Agents for Beginners: https://github.com/microsoft/ai-agents-for-beginners
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://lnkd.in/d2dMACMj
8. Hands-On AI Engineering:https://github.com/Sumanth077/Hands-On-AI-Engineering
9. Awesome Generative AI Guide: https://lnkd.in/dJ8gxp3a
10. Designing Machine Learning Systems: https://lnkd.in/dEx8sQJK
11. Machine Learning for Beginners from Microsoft: https://lnkd.in/dBj3BAEY
12. LLM Course: https://github.com/mlabonne/llm-course
🗺️ Guides
1. Google's Agent Whitepaper: https://lnkd.in/gFvCfbSN
2. Google's Agent Companion: https://lnkd.in/gfmCrgAH
3. Building Effective Agents by Anthropic: https://lnkd.in/gRWKANS4.
4. Claude Code Best Agentic Coding practices: https://lnkd.in/gs99zyCf
5. OpenAI's Practical Guide to Building Agents: https://lnkd.in/guRfXsFK
📚Books:
1. Understanding Deep Learning: https://udlbook.github.io/udlbook/
2. Building an LLM from Scratch: https://lnkd.in/g2YGbnWS
3. The LLM Engineering Handbook: https://lnkd.in/gWUT2EXe
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://lnkd.in/dJ9wFNMD
5. Building Applications with AI Agents - Michael Albada: https://lnkd.in/dSs8srk5
6. AI Agents with MCP - Kyle Stratis: https://lnkd.in/dR22bEiZ
7. AI Engineering: https://www.oreilly.com/library/view/ai-engineering/9781098166298/
📜 Papers
1. ReAct: https://lnkd.in/gRBH3ZRq
2. Generative Agents: https://lnkd.in/gsDCUsWm.
3. Toolformer: https://lnkd.in/gyzrege6
4. Chain-of-Thought Prompting: https://lnkd.in/gaK5CXzD.
5. Tree of Thoughts: https://lnkd.in/gRJdv_iU.
6. Reflexion: https://lnkd.in/gGFMgjUj
7. Retrieval-Augmented Generation Survey: https://lnkd.in/gGUqkkyR.
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://lnkd.in/gmTftTXV
2. MCP with Anthropic: https://lnkd.in/geffcwdq
3. Building Vector Databases with Pinecone: https://lnkd.in/gCS4sd7Y
4. Vector Databases from Embeddings to Apps: https://lnkd.in/gm9HR6_2
5. Agent Memory: https://lnkd.in/gNFpC542
6. Building and Evaluating RAG apps: https://lnkd.in/g2qC9-mh
7. Building Browser Agents: https://lnkd.in/gsMmCifQ
8. LLMOps: https://lnkd.in/g7bHU37w
9. Evaluating AI Agents: https://lnkd.in/gHJtwF5s
10. Computer Use with Anthropic: https://lnkd.in/gMUWg7Fa
11. Multi-Agent Use: https://lnkd.in/gU9DY9kj
12. Improving LLM Accuracy: https://lnkd.in/gsE-4FvY
13. Agent Design Patterns: https://lnkd.in/gzKvx5A4
14. Multi Agent Systems: https://lnkd.in/gUayts9s
📩 Newsletters
1. Gradient Ascent: https://lnkd.in/gZbZAeQW
2. DecodingML by Paul: https://lnkd.in/gpZPgk7J
3. Deep (Learning) Focus by Cameron: https://lnkd.in/gTUNcUVE
4. NeoSage by Shivani: https://blog.neosage.io/
5. Jam with AI by Shirin and Shantanu: https://lnkd.in/gQXJzuV8
6. Data Hustle by Sai: https://lnkd.in/gZpdTTYD
