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/MfZHtEFSZC
2. LLMs from Scratch: https://t.co/kfPUVOpIxp
3. Agentic AI Overview (Stanford): https://t.co/YwfdVehhsO
4. Building and Evaluating Agents: https://t.co/6S8FGJRYbE
5. Building Effective Agents: https://t.co/pDTKM04SbE
6. Building Agents with MCP: https://t.co/5tXUZo9Xri
7. Building an Agent from Scratch: https://t.co/BtDWY0u0Du
8. Philo Agents: https://t.co/A4bj3gDOAg
🗂️ Repos
1. GenAI Agents: https://t.co/XbindjiOGu
2. Microsoft's AI Agents for Beginners: https://t.co/6Yaapil6AA
3. Prompt Engineering Guide: https://t.co/9JyzmoITLO
4. Hands-On Large Language Models: https://t.co/cuFS03HiXZ
5. AI Agents for Beginners: https://t.co/6Yaapil6AA
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/vDNcCdZ8Ni
8. Hands-On AI Engineering:https://t.co/GZs4q8rSYc
9. Awesome Generative AI Guide: https://t.co/EdJ1eGDF0m
10. Designing Machine Learning Systems: https://t.co/Nf1szfXGWK
11. Machine Learning for Beginners from Microsoft: https://t.co/gEdhvs78o3
12. LLM Course: https://t.co/4ISw9XBGWe
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/fQ64JT8Hru
2. Google's Agent Companion: https://t.co/NHt05sw0Sx
3. Building Effective Agents by Anthropic: https://t.co/VjaqhSl1jz.
4. Claude Code Best Agentic Coding practices: https://t.co/yBGMtyeWTg
5. OpenAI's Practical Guide to Building Agents: https://t.co/kmqQgcvvwL
📚Books:
1. Understanding Deep Learning: https://t.co/cgSSJ1U1d6
2. Building an LLM from Scratch: https://t.co/IUVA1tpJJ2
3. The LLM Engineering Handbook: https://t.co/G5HGLfTTq9
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/kehojr3v2p
5. Building Applications with AI Agents - Michael Albada: https://t.co/QHaJEitMMN
6. AI Agents with MCP - Kyle Stratis: https://t.co/POn6waJ2w7
7. AI Engineering: https://t.co/rU9HES8VEU
📜 Papers
1. ReAct: https://t.co/q4zflGWTVT
2. Generative Agents: https://t.co/GK5QswcPQ2.
3. Toolformer: https://t.co/mhDey5PGJL
4. Chain-of-Thought Prompting: https://t.co/3kwFbejFqA.
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/jIyZzuScoQ
2. MCP with Anthropic: https://t.co/ph5cM4zgx1
3. Building Vector Databases with Pinecone: https://t.co/VtA6lSCaQd
4. Vector Databases from Embeddings to Apps: https://t.co/mr9rePzbc3
5. Agent Memory: https://t.co/hjWM88dY2h
Repost for your network ♻️
i found a github repo that teaches you to build production RAG systems the way actual companies do it
it's called production-agentic-rag-course.
here's what you are going to learn:
week 1: docker, fastapi, postgresql, opensearch, airflow
week 2: automated arxiv paper ingestion pipeline
week 3: bm25 keyword search foundations (before touching vectors)
week 4: hybrid search with embeddings + rrf fusion
week 5: complete rag with local llm and streaming responses
week 6: langfuse tracing + redis caching for production monitoring
week 7: agentic rag with langgraph + telegram bot
what i like about this approach is the sequencing
most tutorials skip straight to vector search and call it a day. this one builds keyword search first because that's what real companies actually do solid search foundation enhanced with ai, not ai-first approaches that ignore search fundamentals
every week has a notebook, a blog post, and a tagged git release so you can clone exactly where you left off
https://t.co/8lQy3viUFg
one thing is clear and its that if you want to build real ai systems, you have to understand the plumbing first. the people who skip to the fun parts are the ones whose agents break in production
MIT offers 12 Books on AI & ML (FREE TO DOWNLOAD):
1. Foundations of Machine Learning
https://t.co/h934g1XrEH
2. Understanding Deep Learning
https://t.co/Dt8sFKkUGa
3. Algorithms for ML
https://t.co/S3dFDAEV4s
4. Reinforcement Learning
https://t.co/jums9Zy2h6...
5. Introduction to Machine Learning Systems
https://t.co/vEIS6crSfX…
6. Deep Learning
https://t.co/ZfDA9RWXwu
7. Distributional Reinforcement Learning
https://t.co/yLP1u5UKbC…
8. Multi Agent Reinforcement Learning
https://t.co/El9e00Wuzn
9. Agents in the Long Game of AI
https://t.co/yLP1u5UKbC…
10. Fairness and Machine Learning
https://t.co/qQ3L4kWZsq
11. Probabilistic Machine Learning
❯ Part 1 : https://t.co/VoZS9khRNJ…
❯ Part 2 : https://t.co/Wp6mxYKZ4j…
Show me which Telugu mainstream media outlets covered the #BondiBeachTerrorAttack by recounting the history of terrorist attacks and naming where the solution lies.
After selling their souls to corporates and political parties, they stopped covering news as it is and instead covered it up with appeasement and secularism.
No major Telugu outlets like TV9 Telugu, Eenadu, Andhra Jyothy, Sakshi, or NTV Telugu did so in their reports.
🚨 Must solve these 50 Last-Moment DSA Questions Before Your Interview 🚨
Each question should be solve in < 40 min(with code)
🔹 Arrays
1. Two Sum
2. Best Time to Buy and Sell Stock
3. Maximum Subarray (Kadane’s Algorithm)
4. Merge Intervals
5. Product of Array Except Self
🔹 Strings
6. Valid Palindrome
7. Longest Substring Without Repeating Characters
8. Group Anagrams
9. Longest Palindromic Substring
10. Valid Parentheses
🔹 Linked List
11. Reverse Linked List
12. Merge Two Sorted Lists
13. Linked List Cycle Detection
14. Remove Nth Node From End
15. Add Two Numbers (Linked List)
🔹 Stacks & Queues
16. Min Stack
17. Implement Queue using Stacks
18. Valid Parentheses (Stack)
19. Daily Temperatures
20. Sliding Window Maximum
🔹 Binary Trees
21. Maximum Depth of Binary Tree
22. Symmetric Tree
23. Binary Tree Level Order Traversal
24. Lowest Common Ancestor
25. Diameter of Binary Tree
🔹 Binary Search
26. Binary Search (Basic)
27. Search in Rotated Sorted Array
28. Find Minimum in Rotated Sorted Array
29. First Bad Version
30. Median of Two Sorted Arrays
🔹 Recursion & Backtracking
31. Subsets
32. Combination Sum
33. Permutations
34. Word Search
35. N-Queens
🔹 Graphs
36. Number of Islands
37. Clone Graph
38. Course Schedule
39. Rotten Oranges
40. Pacific Atlantic Water Flow
🔹 Heaps & Priority Queue
41. Kth Largest Element in an Array
42. Top K Frequent Elements
43. Merge K Sorted Lists
44. Find Median from Data Stream
45. Sliding Window Median
🔹 Dynamic Programming
46. Climbing Stairs
47. Coin Change
48. Longest Increasing Subsequence
49. Word Break
50. Maximum Product Subarray
✅ If you can solve 35+ out of these 50 without hints, you’re ready.
❌ If you can’t solve even 25… we need to talk 😏
If you struggle with DSA, then checkout my course, "Namaste DSA"
Once you understand the thought process of approaching problems, then you can crack interviews with confidence. 🔥
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#DSA #interview #placement
🔥 Pawan Kalyan takes a bold stand against selective atheism! 🔥
He called out atheists and so-called liberals — saying they’re free not to believe in any god,
but why is their criticism always aimed only at Hindu deities?
That’s the real issue — and Pawan Kalyan didn’t hold back! 💥