I have 12 years of experience and working as a Principal Engineer @Atlassian and I have seen concurrency scaring the hell out of a lot of junior engineers.
It’s one of the most feared topics in system design & backend interviews — race conditions, deadlocks, thread pools… you name it.
But once you internalize these 20 must-know concepts, everything clicks.
Save this thread. Read till the end.
Your future interviews and production systems will thank you.
@omkarvelankar@kuttrapali26 Just layman's explanation.
Bear like drinking beer, market stumbles like a drunk person, misguided, want to go somewhere, go somewhere else.
Bull like drinking red Bull... Market gets wings... Flies no matter what happens in the world.
Heheh
@Shahnawazreport Bevkoof larki wale hai... IAS position can easily be cross checked, that too in today's world of Chatgpt, claude, gemini.... Within a sec
Larki ka baap dimaag se paidal hoga jo 40+ lakhs kharcha kar diya... Aur poore khandaan me ek bhi aadmi aissa nahi tha jo padha likha ho?
🚨 MIT just dropped their entire AI library for FREE.
Yes... the same MIT that trains the world’s top AI researchers.
If you want to learn AI properly (not YouTube shortcuts), this is a goldmine 🧠⚡
Here’s the roadmap 👇
🧩 FOUNDATION LEVEL
1️⃣ Foundations of Machine Learning
→ Core algorithms
→ Theory + practice
https://t.co/GbqGxFu8vr
2️⃣ Understanding Deep Learning
→ Neural networks made simple
→ Visual explanations
https://t.co/GbsMXWd5Bm
3️⃣ Machine Learning Systems
→ Production-ready ML
→ System design for scale
https://t.co/VYKALcXxRt
🚀 ADVANCED TECHNIQUES
4️⃣ Algorithms for ML
→ Computational thinking
→ Smarter decision frameworks
https://t.co/jkYOHNEqGx
5️⃣ Deep Learning (The Bible)
→ The definitive textbook
→ Everything from CNNs to Transformers
https://t.co/eiJ6FmaxVV
🎮 REINFORCEMENT LEARNING TRACK
6️⃣ RL Basics (Sutton & Barto)
→ Agent training fundamentals
https://t.co/Qvt1fPdigX
7️⃣ Distributional RL
→ Beyond average rewards
→ Advanced theory
https://t.co/bSZUwqNg1e
8️⃣ Multi-Agent Systems
→ Cooperation & competition
https://t.co/LtCdPLjUd4
9️⃣ Long-Game AI
→ Strategic agents
→ Future-proof intelligence
https://t.co/9xQIV3SLVq
⚖️ ETHICS & PROBABILITY
🔟 Fairness in ML
→ Bias detection
→ Responsible AI
https://t.co/Ynuat7qxSX
This is basically an AI degree from MIT — for $0.
Bookmark this.
Share with your dev friend.
Future you will thank you.
❤️ Repost if you want more AI learning threads
📌 Save this for later
#AI #MachineLearning #DeepLearning #MIT #FreeResources #Learning #DataScience
@CseWhy What they all got by doing this, 1-2 days fame and then lifelong defame?
Better they have gone with some weird outfits to get 1-2 days fame... At least there will be mental peace.
Perfect example below
Roadmap to become an AI/ML Engineer in 2026 🤖
If you follow this order, you’ll go from Python → Production AI systems.
Bookmark this. You’ll need it later. 📌
🤖 AI / ML ENGINEER ROADMAP
START
│
▼
🐍 PYTHON FOUNDATION
Python Basics + NumPy + Pandas
│
▼
📐 MATH
Linear Algebra + Calculus
(Core concepts for ML models)
│
▼
🛢 DATA ENGINEERING
SQL + PySpark
(Data pipelines & big data)
│
▼
🤖 ML BASICS
Scikit-learn
(Build first ML models)
│
▼
🧪 PROJECTS
End-to-End ML Projects
(Data → Model → Deployment)
│
▼
🧠 DEEP LEARNING
PyTorch 2.0
Neural Networks
│
▼
👁 COMPUTER VISION
YOLOv9 + CV Pipelines
│
▼
💬 NLP + RAG
Transformers + AI Systems
│
▼
⚙️ MLOps
Kubeflow + MLflow
Training & Deployment
│
▼
🧩 AGENTIC AI
AutoGen + LangGraph
Multi-Agent Systems
│
▼
🚀 PRODUCTION AI
Ray + Vertex AI
Scalable AI Systems
BREAKING: AI can now analyze stocks like Warren Buffett and find 10-baggers early (for free).
Here are 12 insane Claude prompts that evaluate moats, management, and intrinsic value (Save for later)
@KanojiaPJ How was she managing the tussle between her heart which might be regularly saying about getting caught, and her adamant head, reluctant keep on asking her to continue doing this.
Moral: Mind crave for instant pleasure. Don't get controlled by it, start controlling it.
MIT offers 12 Books on AI & ML (FREE TO DOWNLOAD):
1. Foundations of Machine Learning
https://t.co/NDi4xkIqLH
2. Understanding Deep Learning
https://t.co/2eD1FO6aJP
3. Algorithms for ML
https://t.co/TL5CZN1Zjj
4. Reinforcement Learning
https://t.co/pMd7jycU62
5. Introduction to Machine Learning Systems
https://t.co/fUL9s057vV
6. Deep Learning
https://t.co/ZfDA9RWXwu
7. Distributional Reinforcement Learning
https://t.co/84uSpxugRb
8. Multi Agent Reinforcement Learning
https://t.co/Z6NGLlzOY1
9. Agents in the Long Game of AI
https://t.co/uiP4csNvI9
10. Fairness and Machine Learning
https://t.co/ByrBVyFgOa
11. Probabilistic Machine Learning
❯ Part 1 : https://t.co/LHBDyX6RvN
❯ Part 2 : https://t.co/HgOzGDW5jn