Hindi-first learning for real careers

SIRF PADHO MAT.
BUILD KARO.

Python se start karo, real code chalao, aur Data Science, AI & DSA ke projects banao. Har concept simple Hinglish mein�lekin industry-level thinking ke saath.

Python shuru karein Learning paths dekhein
0? core lessons ✓ Browser mein Python run ✓ Portfolio mindset
WHY ✓ HOWHar lesson ka clear mental model
RUN ITCode padho nahi, khud badal kar chalao
BUILD ITConcept ko project use-case se jodo
OWN ITProgress is device par automatically save

Choose your next skill

Ek roadmap. Real capability.

12 complete learning paths � Python, SQL, Data Science, ML, GenAI, AI Agents, AI Engineering, DSA, System Design, CS Fundamentals, Aptitude, aur Interview Prep. 198+ lessons with interactive code editors.

Python shuru karein ?

Python Foundations

Zero se confident Python: syntax, variables, collections, logic, functions, OOP, data science libraries.

Available now30 lessonsBeginner
  • Introduction to Python
  • Variables & Data Types
  • Strings & Lists
  • Conditionals & Loops
  • Functions & OOP
  • Dictionaries & Tuples
  • File Handling & Modules
  • NumPy, Pandas, Matplotlib
→ Sab dekhein
SQL shuru karein ?
📊

SQL Course

Database seekho � data store, query aur analyze karo. MySQL, PostgreSQL sab seekho.

Available now20 lessonsBeginner
  • SELECT & FROM
  • WHERE & Operators
  • INSERT, UPDATE, DELETE
  • JOINs & Aggregates
  • Subqueries & CTEs
  • Window Functions
  • Stored Procedures & Triggers
  • Practical Projects
→ Sab dekhein
Data Science shuru karein ?
📈

Data Science

Data se insights nikalo � statistics, visualization, analysis sab seekho.

Available now15 lessonsIntermediate
  • Statistics Basics
  • Probability
  • Data Cleaning & EDA
  • Visualization
  • Feature Engineering
  • Regression & Classification
  • Clustering
  • Portfolio Projects
→ Sab dekhein
ML shuru karein ?
🐍

Machine Learning

ML algorithms seekho � prediction, classification, clustering sab master karo.

Available now15 lessonsIntermediate
  • Linear & Logistic Regression
  • Decision Trees & Random Forest
  • SVM & Naive Bayes
  • KNN & Clustering
  • Model Evaluation
  • Hyperparameter Tuning
  • Ensemble Methods
  • Deep Learning Intro
→ Sab dekhein
GenAI shuru karein ?
🤖

Generative AI

AI ka next level � ChatGPT, GPT, LLMs sab seekho. Prompt engineering, fine-tuning, RAG.

Available now10 lessonsIntermediate
  • Transformers Architecture
  • GPT Architecture
  • Prompt Engineering
  • Fine-tuning LLMs
  • RAG: Retrieval Augmented
  • LangChain Framework
  • AI Agents
  • Capstone Project
→ Sab dekhein
AI Agents shuru karein ?
★

AI Agents

AI agents banao jo khud se decisions lein, tools use karein aur tasks complete karein.

Available now8 lessonsAdvanced
  • Agent Architecture
  • Tool Use
  • Memory Systems
  • Planning & Decomposition
  • Multi-Agent Systems
  • Deployment
  • Capstone Project
→ Sab dekhein
AI Engineering shuru karein ?

AI Engineering

AI models ko production mein deploy karo � Docker, APIs, monitoring sab seekho.

Available now10 lessonsAdvanced
  • Python for AI Engineering
  • API Development (FastAPI)
  • Docker & Containers
  • Cloud Deployment
  • MLOps
  • Monitoring & Observability
  • Security
  • Cost Optimization
→ Sab dekhein
DSA shuru karein ?
★

DSA Mastery

MNC interviews ki backbone � Striver's A2Z roadmap se basics to advanced. Visualizations aur analytics-driven problem solving.

Available now52 lessonsBeginner to Advanced
  • Arrays & Strings
  • Linked Lists
  • Stacks & Queues
  • Recursion & Backtracking
  • Trees & BST
  • Graphs & BFS/DFS
  • Dynamic Programming
  • Greedy & Sorting
→ Sab dekhein
System Design shuru karein ?
🧠

System Design

HLD/LLD rounds ke liye � scalability, databases, caching, load balancing, microservices, aur real design interviews.

Available now12 lessonsIntermediate to Advanced
  • Scalability: Vertical vs Horizontal
  • Load Balancers & Hashing
  • Caching Strategies
  • Database Scaling: Sharding, Replication
  • SQL vs NoSQL
  • Message Queues & Pub-Sub
  • Microservices Architecture
  • HLD: Design TinyURL
→ Sab dekhein
CS Fundamentals shuru karein ?

CS Fundamentals

OS, DBMS, Networking � MNC ka pehla filter. Processes, indexing, ACID, OSI model sab covered.

Available now12 lessonsBeginner to Intermediate
  • OS: Processes vs Threads
  • OS: Memory Management
  • DBMS: B-Tree Indexing
  • DBMS: Transactions & ACID
  • DBMS: Normalization
  • Networking: OSI & TCP/IP
  • HTTP, DNS, HTTPS
  • Top 50 CS Questions
→ Sab dekhein
Aptitude shuru karein ?

Aptitude & Reasoning

Quantitative aptitude, logical reasoning, data interpretation � MNC screening rounds ka shortcut guide.

Available now8 lessonsBeginner
  • Percentages & Ratio-Proportion
  • Profit, Loss & Discount
  • Time, Speed & Distance
  • Time & Work
  • Number Series & Patterns
  • Logical Reasoning
  • Data Interpretation
→ Sab dekhein
Interview Prep shuru karein ?

Interview Prep

Resume, STAR method, HR rounds, company research, salary negotiation � last mile MNC strategy.

Available now6 lessonsAll Levels
  • Resume Engineering: ATS + XYZ
  • STAR Method: Behavioral Rounds
  • HR Round: Tell me about yourself
  • Company Research: Google Microsoft Amazon
  • Offer & Salary Negotiation
→ Sab dekhein

Beginner ✓ MNC Engineer

Zero se Google / Microsoft tak ka asli roadmap

Koi degree shortcut nahi, koi jadu nahi � sirf ek systematic 12-18 mahine ka plan. Ye wahi analysis hai jo ek fresher ko AI Engineer banakar top MNC ke interview room tak pahunchata hai.

0

Foundations

Month 0-2 � ~2h/day
  • Python � syntax se OOP tak, code chala kar seekho →
  • SQL � SELECT se window functions tak →
  • Git + GitHub � daily commits, profile ko resume banao

Milestone: 50+ solved problems, 1 GitHub project

1

DSA Mastery

Month 2-6 � 3h/day
  • Arrays ✓ Graphs ✓ DP � 10 modules, 52 lessons →
  • LeetCode: 150 easy + 100 medium (Striver A2Z order)
  • Har problem 2 baar: pehle brute force, phir optimal

Milestone: 300 problems, contest rating 1400+

2

Data + Machine Learning

Month 4-7 � 2h/day
  • Statistics, EDA, Feature Engineering →
  • Regression ✓ Deep Learning intro →
  • Kaggle: 3 competitions mein participate karo

Milestone: 3 end-to-end ML projects, GitHub + blog

3

GenAI + AI Engineering

Month 7-11 � 3h/day
  • LLMs, RAG, Prompt Engineering →
  • AI Agents � tools, memory, multi-agent →
  • Production: FastAPI, Docker, Cloud, MLOps →

Milestone: 3 deployed AI apps live URLs ke saath

4

System Design + Interview Prep

Month 11-14 � 2h/day
  • System Design � LLD: classes, SOLID, HLD: scaling, caching →
  • CS Fundamentals � OS, DBMS, Networking MNC filter →
  • Interview Prep � Resume, STAR, HR rounds, negotiation →
  • Aptitude � Quant, logical reasoning, DI →
  • Resume engineering + 20 mock interviews

Milestone: 1 minute mein project explain, STAR stories ready

5

MNC Crack

Month 14+
  • Referrals � LinkedIn pe alumni + seniors se connect
  • Target: Google, Microsoft, Amazon, Flipkart, Uber, Adobe
  • Practice on LeetCode company-tagged questions

Milestone: Offer letter in hand

MNCs actually kya test karte hain? (Deep analysis)

Google

4-5 rounds: DSA (medium-hard, optimal chahiye � brute force nahi chalega), Googleyness (leadership), System design. Communication se zyada thinking process score karta hai.

Microsoft

4 rounds: DSA (medium), Design, Behavioral. Clean code, edge cases aur test cases ke saath solution likho � interviewer ko dikhao ki code ship kar sakte ho.

Amazon

Leadership Principles (16 LP) + DSA + system design. Har round mein 2 STAR stories ready rakho. Bar Raiser round sabse tough hota hai.

AI/ML roles

AI Engineer hiring mein project deep-dive 40% weight rakhta hai. Coding round medium level hota hai. ML fundamentals (bias-variance, evaluation) + ek live RAG/system discussion pakka aata hai.

Interview weightage (fresher SDE/AI role): DSA 60-70% CS Fundamentals 15-20% Projects 20-25% Behavioral 10-15%
?4-8 LPAData Analyst (entry)
?8-15 LPAData Scientist
?12-25 LPAML Engineer
?20-60+ LPAAI Engineer @ MNC

Skill > degree. Projects > GPA. India mein AI Engineer roles 2024-26 mein sabse tez badh rahe hain � demand abhi bhi supply se zyada hai.

Pehla step aaj ka

Is roadmap ka 80% fail isliye karte hain kyunki wo Phase 0 skip karke seedha DSA ya AI pe koodte hain. Foundations pehle � baaki sab apne aap speed up ho jata hai.

Python shuru karo ? DSA roadmap dekho ?

Designed for understanding

Theory ka end point: aap kya bana sakte ho?

Har lesson ka workflow

Naya syntax yaad karne se pehle uska reason samjho. Phir code ko apne haath se alter karo.

01
WHY & WHATConcept ki simple intuition�koi jargon dump nahi.
02
WHEN & WHEREReal task mein iska use kab hoga, pehle dekh lo.
03
TRY & DEBUGSecure browser sandbox mein code modify karke run karo.
04
BUILD CONNECTIONHar skill ko mini-project ya portfolio outcome se link karo.

Ready when you are

Python ko Hindi mein,
properly seekho.

160+ lessons, original Hinglish explanations, exercises, aur aisa real Python editor jo browser mein isolated worker par execute hota hai�server par nahi.

Python Foundations shuru karein ?