Anthropic đang cung cấp 15 khóa học AI MIỄN PHÍ
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Mời các giáo sư, tiến sĩ vào học nhé 😆
Website: https://t.co/ERjXUcpdCd
1. Claude 101: Cho công việc hàng ngày
2. AI Fluency: Nền tảng & framework về AI
3. Introduction to Agent Skills: Giới thiệu kỹ năng Agent
4. Building with the Claude API: Xây dựng ứng dụng với 5. Claude API
6. Claude Code in Action: Thực hành Claude Code
7. Intro to Model Context Protocol: Giới thiệu MCP
8. MCP: Advanced Topics: MCP nâng cao
9. AI Fluency for Students: AI cho sinh viên
10. AI Fluency for Educators: AI cho giáo viên
11. Teaching AI Fluency: Dạy AI
12. AI Fluency for Nonprofits: AI cho tổ chức phi lợi nhuận
13. Claude with Amazon Bedrock: Dùng Claude trên Amazon Bedrock
14. Claude with Google Cloud's Vertex AI:Dùng Claude trên Google Cloud Vertex AI
15. Introduction to subagents: Tạo các tác nhân phụ
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: 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 ♻️
You don’t have to spend a fortune on AI bootcamps.
Stanford has 10 free courses that cover it all:
Sharing a great compilation from Hamna Kahn:
1. Computer Science 101
Perfect for beginners who need programming basics before exploring AI.
Learn Python syntax, data structures, and algorithmic thinking.
https://t.co/uwxAiZXoO8
2. Machine Learning Specialisation
For engineers and data scientists ready to tackle AI math.
Master supervised learning, neural networks, and support vector machines.
https://t.co/p68w3vOy2Y
3. Artificial Intelligence: Principles and Techniques
Gives a full AI overview before specializing.
Understand search algorithms, constraint satisfaction, and logical reasoning.
https://t.co/rUcZHsrlOx
4. Programming Methodology
Essential for writing clean, maintainable code for AI projects.
Learn object-oriented programming, software engineering principles, and debugging.
https://t.co/EKpc1z5ZlS
5. Introduction to Databases
For handling large datasets and optimizing data pipelines.
Master SQL queries, database design, and data modeling.
https://t.co/FyxBzsmKaQ
6. CS231n: Convolutional Neural Networks for Visual Recognition
Ideal for computer vision AI.
Learn CNNs, object detection, and image segmentation.
https://t.co/FyxBzsmKaQ
7. CS224n: Natural Language Processing with Deep Learning
Build chatbots, language models, and text analysis tools.
Explore transformer architectures and attention mechanisms.
https://t.co/TdMNAHGC9y
8. CS109: Introduction to Probability for Computer Scientists
Understand AI fundamentals and avoid black-box thinking.
Master Bayesian inference, distributions, and statistical modeling.
https://t.co/nGyU6sacnG
9. CS234: Reinforcement Learning
For autonomous systems, gaming AI, and robotics developers.
Learn policy gradients, Q-learning, and deep RL algorithms.
https://t.co/VeTuvUPOXM
10. CS230: Deep Learning
Transition from classical ML to modern neural networks and AI applications.
Build convolutional networks, RNNs, LSTMs with proper initialization.
https://t.co/OhKzwAgLMh
These courses are a goldmine for anyone serious about AI.
P.S. Which AI skill would make the biggest impact on your career right now?
♻️ Repost this so anyone can access top AI courses for free!
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