Hindi-first learning for real careers
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.
Choose your next skill
13 complete learning paths — Python, SQL, Data Science, ML, GenAI, AI Agents, AI Engineering, AI Engineer, DSA, System Design, CS Fundamentals, Aptitude, aur Interview Prep. 375+ lessons with interactive code editors.
Zero se confident Python: syntax, variables, collections, logic, functions, OOP, data science libraries.
Database seekho — data store, query aur analyze karo. MySQL, PostgreSQL sab seekho.
Data se insights nikalo — statistics, visualization, analysis sab seekho.
ML algorithms seekho — prediction, classification, clustering sab master karo.
AI ka next level — ChatGPT, GPT, LLMs sab seekho. Prompt engineering, fine-tuning, RAG.
AI agents banao jo khud se decisions lein, tools use karein aur tasks complete karein.
AI models ko production mein deploy karo — Docker, APIs, monitoring sab seekho.
Zero se interview tak ka poora AI engineer roadmap — Python, ML/NLP foundations, LLMs, RAG, agents, LLMOps, diffusion aur interview prep. 18 levels, sab Hinglish mein.
MNC interviews ki backbone — Striver's A2Z roadmap se basics to advanced. Visualizations aur analytics-driven problem solving.
HLD/LLD rounds ke liye — scalability, databases, caching, load balancing, microservices, aur real design interviews.
RPA projects banao — invoice processing, web scraping, SAP, REST APIs aur REFramework production bot. 8 real-world projects, 100% Hinglish.
DataFrames, cleaning, groupby-merge aur asli charts — NumPy, Pandas, Matplotlib, Seaborn. 6 lessons with graph visuals, 100% Hinglish.
OS, DBMS, Networking — MNC ka pehla filter. Processes, indexing, ACID, OSI model sab covered.
Quantitative aptitude, logical reasoning, data interpretation — MNC screening rounds ka shortcut guide.
Resume, STAR method, HR rounds, company research, salary negotiation — last mile MNC strategy.
Hardware, software, number systems, CPU, OS aur networking — CS ka zero se foundation. Har interview ka pehla gate.
C language zero se seekho — variables, loops, arrays, pointers aur file handling tak. Programming ki maa bhasha, 15 lessons Hinglish mein.
Fayol, Taylor, planning se leadership tak — MBA-level management principles Hinglish mein. Exams aur interviews dono ke liye.
Sets, logic, combinatorics, graphs aur algebra — BCA / B.Tech ka core maths. Proofs aur formulas worked examples ke saath.
Von Neumann, addressing modes, cache, pipelining — GATE-level architecture concepts Hinglish mein detail se.
Threats, malware, cryptography, network aur web security — ethical hacking ke fundamentals. Defensive concepts + Indian IT Act.
Beginner — MNC Engineer
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.
Real example: Swiggy orders CSV lo — Python se clean karo, SQL se daily revenue nikalo. Yehi task MNC Data Analyst screening me milta hai.
🎯 Milestone: 50+ solved problems, 1 GitHub project
Real example: Flipkart search me binary search lagta hai. Interview me “Two Sum” aur “Merge Intervals” — Amazon ne 2024 me dono pooche the. Pehle O(n²) batao, phir O(n) optimal likho.
🎯 Milestone: 300 problems, contest rating 1400+
Real example: Zomato delivery-time prediction — missing times ko median se fill karo, regression se ETA nikalo. MNC ML round me poochte hain: “missing values aur outliers kaise handle karoge?”
🎯 Milestone: 3 end-to-end ML projects, GitHub + blog
Real example: E-commerce returns ke liye RAG support bot banao aur live URL deploy karo. MNC AI round me 40% weight project deep-dive ka hai: “1M docs pe retrieval, chunking aur evaluation kaise karoge?”
🎯 Milestone: 3 deployed AI apps live URLs ke saath
Real example: BookMyShow seat-booking aur TinyURL design karo, 10k rps rate-limiter ke saath. MNC HLD me poochte hain: “cache, queue aur DB sharding kahan lagega?” STAR format me 3 stories ready rakho.
🎯 Milestone: 1 minute mein project explain, STAR stories ready
Real example: LinkedIn pe 20 alumni ko personalized note bhejo, last 90 din ke company-tagged 50 questions karo, aur har project ko 1-minute XYZ resume bullet me likho: “RAG bot se support cost 30% kam.”
🎯 Milestone: Offer letter in hand
4-5 rounds: DSA (medium-hard, optimal chahiye — brute force nahi chalega), Googleyness (leadership), System design. Communication se zyada thinking process score karta hai.
Sample: “Median of Two Sorted Arrays O(log n) me karo, approach loud bolo.”
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.
Sample: “LRU Cache design karo + unit tests likho.”
Leadership Principles (16 LP) + DSA + system design. Har round mein 2 STAR stories ready rakho. Bar Raiser round sabse tough hota hai.
Sample: “Tell me about a time you failed + Merge K Sorted Lists.”
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.
Sample: “Apna RAG project kholo — chunking, embeddings aur hallucination guardrails explain karo.”
Skill > degree. Projects > GPA. India mein AI Engineer roles 2024-26 mein sabse tez badh rahe hain — demand abhi bhi supply se zyada hai.
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.
Designed for understanding
Naya syntax yaad karne se pehle uska reason samjho. Phir code ko apne haath se alter karo.