Courses Descriptions

Phase 1: Programming & DSA Foundations (Weeks 1–4 | ~24 hrs)

• Python & Java basics

• Time & Space Complexity

• Problem-solving strategies

Phase 2: Core DSA Mastery (Weeks 5–12 | ~48 hrs)

• Arrays & Strings

• Linked Lists

• Stacks & Queues

• Hashing & Hashmaps

• Recursion & Backtracking

• Sorting & Searching

• Trees (Binary, BST, Heap)

• Graphs (DFS, BFS, Shortest Path, MST)

• Dynamic Programming

⚡ Hands-on: 150+ LeetCode/Codeforces problems

Phase 3: Software Development Essentials (Weeks 13–18 | ~36 hrs)

• OOPs & Design Patterns

• Databases (SQL, NoSQL, Transactions)

• APIs & RESTful Services

• Git/GitHub (version control & collaboration)

• Cloud Basics (AWS/Azure overview)

⚡ Mini Project: Full-stack Web Application

Phase 4: System Design (Weeks 19–24 | ~36 hrs)

• Low-Level Design (LLD):

  • Classes, Objects, OOPs in depth

  • UML Diagrams, Class Diagrams

  • Common LLD problems (Parking Lot, Library System, Splitwise, etc.)

• High-Level Design (HLD):

  • Scalability concepts

  • Caching, Load Balancing, Message Queues

  • Database Sharding & Replication

  • Designing Scalable Systems (e.g., Twitter, YouTube, WhatsApp)

⚡ Case Studies: Real-world system designs

Phase 5: AI for Developers (Weeks 25–28 | ~24 hrs)

• Python for Data & AI (NumPy, Pandas)

• ML Basics (Regression, Classification, Clustering)

• Intro to Neural Networks (TensorFlow/PyTorch)

• Generative AI tools for developers (GitHub Copilot, ChatGPT APIs)

⚡ Capstone Project 1: AI-powered Code Assistant / Bug Predictor

Phase 6: Career Preparation & Final Capstone (Weeks 29–36 | ~48 hrs)

• Advanced DSA Revision + Competitive Coding

• System Design Mock Interviews (LLD + HLD)

• Resume, LinkedIn & GitHub Portfolio Building

• HR + Technical Mock Interviews

• Capstone Project 2: End-to-End Scalable Software System with AI integration

🎯 Program Outcomes

• DSA Mastery → 200+ problems solved, interview-ready

• System Design → Solid foundation in LLD + HLD with real-world case studies

• Software Development → OOPs, DBMS, APIs, Full-Stack basics

• AI Awareness → AI tools + ML fundamentals to stand out in interviews

• Portfolio → 2 capstone projects + strong GitHub profile

• Job Readiness → SDE, Backend Developer, Full-stack Developer, AI-enabled Developer