All Paid Courses (Free for First 4500 People)
๐ฃ๐ฎ๐ถ๐ฑ ๐๐ผ๐๐ฟ๐๐ฒ ๐๐ฅ๐๐ (PART - 1)
1. Artificial Intelligence
2. Machine Learning
3. Cloud Computing
4. Ethical Hacking
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. MBA
(72 Hours only )
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I still can't believe Google has released a complete catalog of AI courses and learning paths. Completely for free!
Prompt engineering, retrieval, model design, healthcare, product thinking, all in one place โจ
If you want to upgrade your AI skills, you should start here.
Stop wasting hours trying to learn AI. ๐๐
I have already done it for you.
With one list. Zero confusion. And no fluff
๐น Videos:
1. LLM Introduction: https://t.co/Avq3pNZxWY
2. LLMs from Scratch: https://t.co/nGJGCQYi89
3. Agentic AI Overview (Stanford): https://t.co/1JbA2JypnJ
4. Building and Evaluating Agents: https://t.co/02o8b7RAS2
5. Building Effective Agents: https://t.co/Jw0cd23A3K
6. Building Agents with MCP: https://t.co/9uvcpin1j9
7. Building an Agent from Scratch: https://t.co/QiYCLK48tn
8. Philo Agents: https://t.co/TCSX4hnKRf
๐๏ธ Repos
1. GenAI Agents: https://t.co/VdfLWAA3wW
2. Microsoft's AI Agents for Beginners: https://t.co/3SpFdnMcQa
3. Prompt Engineering Guide: https://t.co/4W7Eh6NKaE
4. Hands-On Large Language Models: https://t.co/LEtKGYBdgU
5. AI Agents for Beginners: https://t.co/3SpFdnMcQa
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/sL3gbmGUky
8. Hands-On AI Engineering:https://t.co/J79go1Ivlo
9. Awesome Generative AI Guide: https://t.co/xXF08rY8zP
10. Designing Machine Learning Systems: https://t.co/Q39XZLn50b
11. Machine Learning for Beginners from Microsoft: https://t.co/vfkyHL1Gnx
12. LLM Course: https://t.co/wuDkhQ0572
๐บ๏ธ Guides
1. Google's Agent Whitepaper: https://t.co/BSjthrG81u
2. Google's Agent Companion: https://t.co/wdzh5zuSvp
3. Building Effective Agents by Anthropic: https://t.co/HmYVgMIA7l.
4. Claude Code Best Agentic Coding practices: https://t.co/H3JpJWlpp3
5. OpenAI's Practical Guide to Building Agents: https://t.co/G1TL1Z2TR3
๐Books:
1. Understanding Deep Learning: https://t.co/EEqkGL7lHe
2. Building an LLM from Scratch: https://t.co/8Ehn91NNxE
3. The LLM Engineering Handbook: https://t.co/yzvXeQAgtV
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/FKEzpBewe4
5. Building Applications with AI Agents - Michael Albada: https://t.co/nvBaoR6FxZ
6. AI Agents with MCP - Kyle Stratis: https://t.co/u0M1GfBlsL
7. AI Engineering: https://t.co/A2QxhrpmDc
๐ Papers
1. ReAct: https://t.co/Vbc3vWxQHO
2. Generative Agents: https://t.co/PvNHYnqsOD.
3. Toolformer: https://t.co/HFdds582DI
4. Chain-of-Thought Prompting: https://t.co/GxX5BxXLzV.
๐ง๐ซ Courses:
1. HuggingFace's Agent Course: https://t.co/zhizqjunzS
2. MCP with Anthropic: https://t.co/LqDZ0oCRfj
3. Building Vector Databases with Pinecone: https://t.co/ncqSVaVHqH
4. Vector Databases from Embeddings to Apps: https://t.co/JOl7SIlguq
5. Agent Memory: https://t.co/5m0UrGwDM9
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