Kickstart your developer journey by building a rock-solid foundation in programming, modern web tooling, and Generative AI — the three pillars every 2026 software engineer needs from day one.

• Language Fundamentals: Go from "Hello World" to confident coder. Master the syntax and constructs of Java or JavaScript (chosen based on your specialization), including loops, conditionals, arrays, objects, strings, data types, and standard libraries
• Developer Essentials: Pick up the must-have toolkit every working engineer uses every day, through hands-on labs and live workshops — HTTP, REST APIs, Linux, Git, SQL, and cloud deployment
• GenAI Foundations: Get fluent in the language of modern AI — how Large Language Models work, prompt engineering essentials, and the real-world use cases reshaping software development

Master DSA the way top product companies actually test it — through a carefully designed three-stage curriculum with exclusive videos, in-depth mentorship, live sessions, and continuous mock assessments.

• Basics — Build the Problem-Solving Muscle: Develop logic by solving math, recursion, and implementation problems. Get introduced to fundamental data structures (Linked Lists, Trees) and learn how to reason about Space & Time Complexity from day one

• Intermediate — Pattern Recognition for Real Interviews: Master the high-yield problem-solving patterns interviewers love — Two Pointers, Sliding Window, Prefix Sum, Binary Search, Bit Manipulation, BFS/DFS, Hash-based optimization. Learn the art of debugging under time pressure

• Advanced — The Interview-Cracking Edge: Step up to graph algorithms (Prim's, Kruskal's, Dijkstra's), greedy & backtracking patterns, Dynamic Programming (Memoization & Tabulation), and advanced data structures like Tries and Segment Trees

• AI Guidance: Get personalized feedback on your code, hints when you're stuck, and AI-powered explanations of optimal solutions

This is the heart of the program — pick one of two specializations and ship a portfolio of work-like projects modelled on the apps used by AirBnB, Amazon, Netflix, Spotify, Flipkart and Swiggy.

Option 1 - Fullstack Specialization (FDT): Become a full-stack engineer with a frontend-first lens. Ship 7 progressive projects:

• QTrip Static — AirBnB-like travel front end with HTML, CSS, Flexbox & Bootstrap
• QTrip Dynamic — Add API calls, routing, filters, data persistence and 3rd-party libraries
• XBoard (independent) — Google News-style newsfeed aggregator with JavaScript, DOM & deployment
• QKart Frontend — Amazon/Flipkart-style React shopping experience with hooks & Material UI
• QTify (independent) — Spotify-like audio streaming front end designed in Figma
• QKart Backend — Scalable Node.js / Express backend with MongoDB & REST APIs
• XFlix (independent) — Netflix-like backend with Express, Node, MongoDB & deployment

Option 2 — Backend Specialization (BDT): Go deep on enterprise-grade Java backend systems. Ship 6 progressive projects:

• QCalc — Multi-file Java scientific calculator using OOP, Classes, Packages, Git & Gradle
• XURL (independent) — Bit.ly-like URL shortener applying all your Java & data structures knowledge
• QMoney — Zerodha-like visual stock portfolio analyser; consume REST APIs, refactor legacy code, write JUnit tests
• XCompany — Object Modeling & Machine Coding: model a company hierarchy with constraints
• QEats — Scalable distributed Java backend for a Swiggy-like food ordering app, with MVCS, Spring Boot, MongoDB, Mockito & Spring Security
• XMeme (independent) — Java backend for a Giphy-like meme platform applying everything you've learned

Go from zero AI background to confidently building real AI-powered software products — the foundation every modern developer needs in 2026.

• S1: How LLMs Work (And Why It Matters)
• S2: Navigating the AI Model Landscape (OpenAI, Anthropic, open-source)
• S3: Prompt Engineering That Actually Works
• S4: Building with the OpenAI API (embeddings, function calling, streaming)
• S5: Fine-Tuning — When & How to Train Your Own Model
• S6: RAG Pipelines — Make AI Know Your Data
• S7: Building AI Agents That Take Action
• S8: Full-Stack AI Apps with Bolt.new
• S9: AI-Powered Development with Cursor

Push your specialization to senior-engineer level — the architectural depth top product companies expect from candidates targeting 15+ LPA roles.

Option 1 — Frontend Advanced: Master the architectural concepts that separate good frontend devs from great ones — through hands-on workshops, activities & projects

• Browser caching strategies for blazing-fast load times
• Frontend security — XSS, CSRF, authentication patterns
• Website performance optimization with Lighthouse, profiling & CDN
• Redux state management for complex applications
• Server-Side Rendering with Next.js for SEO & first paint speed
• Advanced CSS architecture (BEM, CSS-in-JS, responsive systems)

Option 2 — Backend Advanced: Make your QEats backend production-grade — the way real engineers scale Swiggy or Zomato

• Build advanced search features over large datasets
• Identify and fix performance bottlenecks using profiling tools
• Improve REST API throughput with caching (Redis), load testing (JMeter), and multi-threading
• Apply patterns the way senior backend engineers do

Get interview-ready on both Low Level Design and High Level Design — the two pillars every product company uses to test senior engineering candidates.

LLD Foundations — Build & Design Like an Engineer:

• QContest — Build a HackerRank-like contest platform applying Core Java & Low Level Design (SOLID principles, OOP, Object Modeling, Clean Architecture, Design Patterns)
• JukeBox — Build a Spotify-like jukebox that plays songs from a playlist, applying machine coding techniques and clean architecture

HLD Foundations — Architect Internet-Scale Systems:

• Understand the architecture of modern web applications used universally by internet companies
• Hands-on with the production tech stack: Docker, Kafka, Microservices, CI/CD, Cloud
• Reason about CAP Theorem, SQL vs NoSQL trade-offs, partitioning, and replication
• Design for scalability with load balancing, caching layers, and horizontal scaling patterns

An intensive month of interview rehearsal — designed so you walk into every real interview already having faced the hardest questions.

• DSA Blitz Sessions — Crack DSA interviews through repeated, time-boxed problem-solving rounds that build speed and confidence
• Multiple Timed Mock Assessments — Simulate the pressure and pacing of real coding rounds at top product companies
• AI-Powered Mock Interviews — Practice with an AI interviewer that adapts to your level, gives instant feedback, and lets you rehearse 24/7
• Peer-to-Peer (P2P) Interviews — Take both sides of the table — interviewing peers sharpens your own answers
• Resume Defense Prep — Be ready to defend every single skill keyword and project on your resume
• Specialization-Specific Prep — Targeted prep for your FDT or BDT track, plus take-home assignment practice

Cap the program with a real externship — not a capstone. Solve actual problem statements sourced from top Indian tech companies, with AI woven into every challenge.

• Real Industry Projects — Go beyond typical bootcamp capstones — tackle live problem statements contributed by working teams at real companies
• AI-Driven Use Cases — Every externship integrates an emerging AI angle so you graduate with a portfolio that's relevant for 2026 hiring
• Industry Mentorship — Get reviewed and mentored by engineers from the partner companies themselves
• Past Externship Partners — CRED, Jumbotail, Groww, Vicara, Slice, Recko — and many more rotating partners every cohort
• Resume-Ready Outcome — Walk away with a verified, real-company project entry on your resume — a massive differentiator at the offer stage

Master designing & developing industry-grade applications using OOD principles & design patterns

• Applied OOPs Foundations: Apply OOP concepts in practical scenarios; practice IS-A, HAS-A, USES-A relationships
• Design clean and reusable industry-grade applications with reusable, modular, extensible software
• Apply SOLID design principles when designing your solution
• Learn important design patterns like Singleton, Factory, Builder, Strategy
• Practice converting PRDs into class diagrams and sequence diagrams
• Go deeper into schema design and how it impacts extensibility, speed & querying

• Understand design choices across compute, data-store & communication for large-scale distributed systems like Flipkart
• Work hands-on with ZCommerce — Crio's distributed microservices-based scalable application on the cloud
• Contrast microservice with event-driven, big-compute, big-data architectures
• Learn why ZCommerce uses both EC2 (IaaS) & Elastic Beanstalk (PaaS)
• Classify workloads as read-heavy, write-heavy, transactional to choose the right data store
• Understand REST API vs gRPC trade-offs and decrease response time using CDN

• Prepare to take on LLD interviews with confidence
• Master cracking machine coding rounds with quick designs and structured execution
• Optimize code by using better data structures
• Practice LLD design questions like BookMyShow, Splitwise, and Trello — commonly asked at leading product companies

• Building LLM-Powered Applications (streaming, async, context windows)
• Vibe Coding with Claude Code & Cursor (AI-native development workflows)
• From Single Agents to Multi-Agent Systems (orchestration, communication)
• AI Agents That Integrate Everything (MCP, tool ecosystems)
• RAG Systems: Search Anything with AI (vector stores, re-ranking, eval)
• How to Know If Your AI Actually Works (metrics, evaluation, debugging)
• Production AI: Scaling, Cost & Monitoring (latency, error handling, observability)
• Capstone: Build & Ship a Real AI Product (from idea to deployment)