(MIT OCW Free Learning Path for AI, Finance & Programming)
MIT OpenCourseWare muft taleem ka ek digital khazana hai jahan 2500+ world-class courses available hain. Lekin zyada options ki wajah se beginners aksar confuse ho jate hain ke start kahan se karein.
What this really means is:
Agar aap AI, Programming, Finance ya Blockchain jaisi high-income skills seekhna chahte hain — to aapko ek structured roadmap ki zaroorat hai.
(Roman Urdu: Agar aap AI ya Programming zero se seekhna chahte ho to random courses nahi balkay ek proper sequence follow karna zaroori hai.)
📌 Phase 1: Foundation (Math + Programming Basics)
🔢 Calculus & Linear Algebra
Start karein:
- Single Variable Calculus (18.01SC)
- Linear Algebra (18.06SC)
Yeh dono subjects AI aur Engineering ki language hain.
(Roman Urdu: Yeh woh bunyadi zaban hai jo Machine Learning aur Data Science samajhne ke liye zaroori hoti hai.)
💻 Programming with Python
Saath hi yeh course karein:
- Introduction to Computer Science and Programming in Python (6.0001)
Yahan aap seekhenge:
- Variables
- Loops
- Functions
- Logical Thinking
(Roman Urdu: Yahan aap math ko computer ki zaban yani code mein convert karna seekhte ho.)
📌 Phase 2: Logic Building & Problem Solving
🧩 Mathematics for Computer Science (6.042J)
Is course se aap seekhenge:
- Discrete Mathematics
- Logical Reasoning
- Proof Techniques
(Roman Urdu: Yeh course dimagh ko problem solving machine banata hai.)
⚙️ Introduction to Algorithms (6.006)
Efficient coding ke liye algorithms lazmi hain.
Isme cover hota hai:
- Sorting
- Searching
- Time Complexity
(Roman Urdu: Yeh aapko fast aur smart programming sikhata hai.)
📌 Phase 3: Physical Systems Understanding
Agar aap Hardware ya Robotics side jana chahte hain:
⚙️ Classical Mechanics (8.01SC)
(Roman Urdu: Physics ke bunyadi qawaneen jo machines ko control karte hain.)
🔌 Circuits and Electronics (6.002)
Yeh course samjhata hai:
- Voltage
- Current
- Electronic Signals
(Roman Urdu: Yeh hardware aur software ke darmiyan connection ko samajhne mein madad karta hai.)
📌 Phase 4: Advanced Skills (AI & Data Science)
Yeh sab se high-income future skills hain.
📊 Data Science (6.0002)
Python ka istemal:
- Data Analysis
- Simulation
- Visualization
(Roman Urdu: Yahan aap real-world data se insights nikalna seekhte ho.)
🤖 Artificial Intelligence (6.034)
Is course mein:
- Machine Learning
- Search Algorithms
- Knowledge Representation
(Roman Urdu: AI systems kis tarah decisions lete hain.)
🎲 Probability (RES.6-012)
AI aur Finance dono ke liye zaroori:
- Risk Calculation
- Prediction Models
(Roman Urdu: Future outcomes ko predict karna.)
📌 Phase 5: Specialization (Finance + Blockchain)
Career growth ke liye:
💰 Finance Theory (15.401)
(Roman Urdu: Investment aur risk management ke principles.)
🔗 Blockchain and Money (15.S12)
Isme seekhen:
- Cryptocurrency
- Smart Contracts
- Digital Economy
(Roman Urdu: Technology aur paisay ko jorna.)
🚀 Conclusion
MIT ke yeh free courses follow karke aap:
✔ Math Strong kar sakte hain
✔ Programming seekh sakte hain
✔ AI aur Data Science mein enter ho sakte hain
✔ Finance aur Blockchain jaisi high-income industries mein specialize kar sakte hain
(Roman Urdu: Pehle bunyad mazboot karein, phir apni pasand ki field choose karke expert level tak pohonchein.)