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THIS IS F**KING INSANE
this 19 year old makes $453 per DAY, that’s $13,540 per month!!
All from Claude + YT shorts
100% of what he does is in the video.
Bookmark this for later
This GitHub repo gives you a complete 30-day Python roadmap — from the basics to functions, data structures, APIs, and more.
AI Engineering Series
https://t.co/CuGFKEWwGB
No guessing what to learn next. Just follow it day by day and practice as you go.
Comment PYTHON and follow Sambit Das | AI Engineering & Automation — I’ll send you the repo.
#aiautomation #aiagents #aitools #python #roadmap See less
தினமும் யாரெல்லாம் Excel வச்சு ஒர்க் பண்ணிக்கிட்டு இருக்கீங்களோ, அவங்க எல்லாரும் Python படிங்க.
2012-ல என்கிட்ட படிச்ச ஒருத்தர் Python ஆரம்பிச்சு ஒரு 15 நாட்களுக்குள்ள அவர் தினமும் Use பண்ணிட்டு இருக்க Excel-ல ஆட்டோமேஷன்பண்ணி இருக்காரு.
அதேபோல ANSA-ங்கிற CAE சாஃப்ட்வேர்லயும் Python மூலமா ஸ்கிரிப்ட் எழுதி தன்னோட டாஸ்க்குகளை பண்ண ஆரம்பிச்சிட்டாரு.
Mechanical Designல மேனேஜரா Renault Nissanல ஒர்க் பண்ணிட்டு இருக்காரு. அவரை நான் தான் compel பண்ணி Python படிக்க சொன்னேன்.
இதுக்கு மேல நான் அதை படிச்சு என்ன சார் பண்ண போறேன் அப்படின்றது தான் அவரோட முதல் தயக்கமா இருந்துச்சு. நான் இப்ப தினமும் பயங்கர சந்தோஷமா நான் இத பண்ணிட்டேன், அத பண்ணிட்டேன்னு டெய்லி ஒரு அப்டேட் கொடுத்துட்டு இருக்காரு.
தினமும் யாரெல்லாம் Excel வச்சு ஒர்க் பண்ணிக்கிட்டு இருக்கீங்களோ, அவங்க எல்லாரும் Python படிங்க.
AI-யோட Potential-ல எவ்வளவு Use பண்ண முடியுமோ அவ்வளவு Use பண்ணி உங்களோட வேலை நேரத்தையும், பணத்தையும், உழைப்பையும் குறைச்சுக்கோங்க.
நான் தினமும் Excel use பண்ணிக்கிட்டு இருக்கேன். Python மூலமா அந்த வேலையை நான் எப்படி ஈஸியா செய்யறது?
இது சம்பந்தமா உங்ககிட்ட இருக்க Problem-அ சொல்லுங்க. நான் எனக்கு தெரிஞ்ச தீர்வுகளை சொல்றேன்.
If you’re hunting for a remote job, you just need to figure out how Reddit works, and you’ll never be unemployed for a long time.
Here’s a list of subreddits you should bookmark right now:
Officially from INDIAN IITs 🇮🇳
No fees. No entrance exam. No catch.
Here are 19 courses that are better than most paid bootcamps:
1. Artificial Intelligence: Foundations and Algorithms
🔗 https://t.co/oSYHBy2CAo
2. Introduction to Large Language Models (LLMs)
🔗 https://t.co/cb50yjV59U
3. Digital Marketing in the AI era
🔗 https://t.co/cY4BAnSMKI
4. Ethical Hacking
🔗 https://t.co/Vt6zK7tKzl
5. Generative AI for Computer Vision
🔗 https://t.co/GoFZOqhaOm
6. Cloud Computing
🔗 https://t.co/s3eKQ4kO5I
7. Data Science for Engineers
🔗 https://t.co/bc2P6F5Jsd
8. Computer Vision
🔗 https://t.co/sw0ODnKZkb
9. Cyber Security and Privacy
🔗 https://t.co/iqFHf8TPii
10. Corporate Finance
🔗 https://t.co/AMT78OsBlw
11. Database Management System
🔗 https://t.co/dFPgDFun9i
12. Data Structures and Algorithms using Java
🔗 https://t.co/X8UsoouHO6
13. Data Structures and Algorithms Design
🔗 https://t.co/kuixtbaTCD
14. Introduction To Operating Systems
🔗https://t.co/yq2e4gr2S9
15. Natural Language Processing
🔗https://t.co/NW57eofXXt
16. Programming In Java
🔗https://t.co/OAyT6kLYAz
17. Programming in Modern C++
🔗https://t.co/0E3lquqUpM
18. Programming with Generative AI
🔗https://t.co/MItYoWr2bF
19. Python for Data Science
🔗https://t.co/mCcMpCOsA3
Bir Kere Girince Saatlerce Çıkamayacağınız 50 Site
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39.) 'https://t.co/5ei05nWSvS' — 250 bin sanat eserinin arşivi
40.) 'https://t.co/2SpGcVKFiD' — Tarihin unutulmuş görsel hazineleri
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42.) 'https://t.co/UyUZxtlbfh' — Met Müzesi'nin açık koleksiyonu
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49.) 'https://t.co/4Nwok7W5wn' — Bilimsel makalelerin ücretsiz ön baskıları
50.) 'https://t.co/DqmPFeYnrl' — Veriyi canlı kodla görselleştirme
İnternet, algoritmanın önünüze koyduğu o beş siteden ibaret değil.
Goldmine for AI Engineers! 📌
If you're learning AI, ML, LLMs, or AI agents, don't waste hours jumping between random tutorials.
These are 10 repositories I'd actually keep bookmarked - from Python fundamentals to ML, LLMs, agents, and production AI.
1. Python - 100 Days
jackfrued/Python-100-Days
A 100-day Python learning path covering fundamentals, data analysis, web development, and more.
GitHub:
https://t.co/NMCNWjp4GT
2. Generative AI for Beginners
microsoft/generative-ai-for-beginners
A practical introduction to building Generative AI applications.
Covers:
• LLM fundamentals
• Prompt engineering
• RAG
• AI agents
• Fine-tuning
• AI application development
GitHub:
https://t.co/5QXAC1rsUZ
3. LLMs From Scratch
rasbt/LLMs-from-scratch
Want to understand what's actually happening inside an LLM?
Build one step by step.
Covers:
• Tokenization
• Embeddings
• Attention
• Transformers
• Training
• Fine-tuning
GitHub:
https://t.co/iEtPYVPpXV
4. Machine Learning for Beginners
microsoft/ML-For-Beginners
A structured 12-week, 26-lesson curriculum covering classical machine learning.
A good starting point if you want ML fundamentals before jumping into LLMs.
GitHub:
https://t.co/sLijf46NKB
5. OpenAI Cookbook
openai/openai-cookbook
A collection of practical examples and guides for building applications with OpenAI models.
Useful when you want to move from:
Learning → Building
GitHub:
https://t.co/H3ZiMmpMAq
6. Stable Diffusion
CompVis/stable-diffusion
Interested in generative image models?
This repository contains the original Stable Diffusion implementation and research code.
GitHub:
https://t.co/DFwSLqOlyn
7. AI Agents for Beginners
microsoft/ai-agents-for-beginners
A practical course for understanding and building AI agents.
Covers:
• Agentic AI
• RAG
• Agent frameworks
• Tool use
• Multi-agent systems
GitHub:
https://t.co/zNeYlZRQqa
8. AI for Beginners
microsoft/AI-For-Beginners
A structured 12-week, 24-lesson introduction to AI.
Covers:
• Neural networks
• Computer vision
• NLP
• Deep learning
• Classical AI
GitHub:
https://t.co/V7Oilwt7nA
9. LLM App
pathwaycom/llm-app
Focused on building practical LLM applications.
Explore:
• RAG
• AI pipelines
• Enterprise search
• Real-time data
• Vector search
GitHub:
https://t.co/2FdeXjZfQ8
10. Segment Anything
facebookresearch/segment-anything
A foundation model for promptable image segmentation.
Worth exploring if you're interested in computer vision and multimodal AI.
GitHub:
https://t.co/yCSrZH8b5w
Don't bookmark all 10 and forget about them.
Pick based on where you are:
Python → Python-100-Days
ML → ML-For-Beginners
AI Fundamentals → AI-For-Beginners
LLMs → LLMs-from-scratch
Generative AI → Generative-AI-for-Beginners
Agents → AI-Agents-for-Beginners
Building → OpenAI Cookbook / LLM App
Computer Vision → Segment Anything
Pick one.
Build something.
Then move to the next.
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