Module 1 - Baseline and Core Patterns

• Arrays + Strings
  • Two pointers & Sliding window

Module 2 - Hashing and Sorting Techniques

• Hashmaps / Sets
  • Frequency maps & Subarray problems
• Sorting & custom comparator
  • Intervals, key-based sorting

Module 3 - Stack, Queue and Recursion Patterns

• Stacks & Queues
  • Valid parentheses; Next greater element; Monotonic
• Recursion basics
  • Subsets / simple backtracking

Module 4 - Binary Search and Greedy Methods

• Binary Search
  • Classic search; Search on answer
• Greedy
  • Interval scheduling; Optimisation decisions

Module 5 - Mixed Practice and Graph Basics

• Graph basics
  • BFS / DFS; Simple traversal problems
• Full mock test (Level 2 simulation)

Module 6 - Final Practice and Test Strategy

• Weak area correction (based on mocks)
• Speed drills, Medium problem, Final Mock

Module 1 - Full Stack Basics & AI Integration

• Frontend basics, user input handling
• Backend basics, APIs, simple endpoint
• LLM fundamentals, inference, API calls

Hands-on: connect UI -> backend -> LLM -> response

Module 2 - Backend Logic & Structured Workflows

• Request-process-response flow
• Problem decomposition, JSON outputs
• Prompt vs model behaviour, output control

Hands-on: multi-step backend workflow with outputs

Module 3 - Tool Integration & Agent Behaviour

• Backend functions as tools
• AI decision-making for tool usage

Hands-on: tool calling, data fetch/update, action execution

Module 4 - System Integration & Architecture

• End-to-end system design (UI, API, AI, tools)
• Agent loop, error handling

Hands-on: integrate components, logging

Module 5 - Knowledge Layer & Improvements

• RAG basics (retrieve, augment, generate)
• Prompt refinement, evaluation, trade-offs

Hands-on: add retrieval, improve responses and flow

Module 6 - Reliability & Hackathon Simulation

• Failure handling, validation, fallback logic
• System explanation and optimisation
• Hands-on: improve robustness, timed build sprint