CodeReady is a comprehensive 15-week technical training program designed to bridge the employability gap. We transform college students and early-career developers into industry-ready software engineers with practical skills in DSA, System Design, and Gen AI.

🎯 Who Is This For?

College students seeking industry-ready skills
Recent graduates preparing for tech careers
Early-career developers wanting to upskill
Anyone motivated to learn programming

📋 Prerequisites

Basic computer literacy
Motivation to learn
No prior programming experience required
Commitment to 10 hours/week (5 live + 5 practice)

⏱️ Time Commitment

75 hours of live instruction
75 hours of self-paced practice
5 hours per week live sessions
5 hours per week assignments

15 Weeks

75 Live Hours

75 Practice Hours

2 Languages

7 Phases

Learning Phases

7 structured phases taking you from programming fundamentals to scalable system design & Gen AI

Phase	Duration	Focus Areas
Phase 1: Programming 101	Weeks 1-3	Fundamentals, variables, control flow, loops, functions, OOP, exceptions, file I/O
Phase 2: Data Structures	Weeks 4-6	Arrays, linked lists, stacks, queues, trees, graphs, hash tables, recursion
Phase 3: Problem Solving	Weeks 7-9	30-40 easy/medium LeetCode-style questions, patterns & guided walkthroughs
Phase 4: Databases	Weeks 10-11	MySQL fundamentals, joins, indexes, normalization, transactions; mini-project
Phase 5: System Design	Weeks 12-13	Client-server, REST APIs, scalability, caching, load balancers, sharding, diagrams
Phase 6: Gen AI & AI Tools	Week 14	Generative AI (ChatGPT, Claude, Gemini), GitHub Copilot, prompt engineering, AI-powered development
Phase 7: Capstone	Week 15	2-3 end-to-end mini-apps combining API + DB + frontend concepts with AI enhancement

Technology Stack

Comprehensive tech stack covering the full spectrum of modern software development

💻 Programming Languages

Java: Core programming, OOP, collections, data structures
Python: Core programming, OOP, data structures, algorithms

🌐 Backend & API Development

Python: Flask API framework (RESTful APIs)
Java: Spring Boot / Maven-based projects

🗄️ Database & Data Persistence

MySQL: Relational database management
Schema design & normalization
SQL queries, joins, indexes, transactions
File I/O: JSON, CSV data handling

🧪 Testing Frameworks

Java: JUnit (unit testing framework)
Python: pytest (testing framework)
Code coverage tools for both languages

📦 Build Tools & Version Control

Java: Maven (project management & build tool)
Python: pip (package manager)
Git: Distributed version control
GitHub: Code hosting, pull requests, collaboration

🏗️ System Design & Architecture

REST APIs: API design and implementation
HTTP/HTTPS: Web protocols
Database Design: Schema design, normalization
Caching: CDN, reverse proxy concepts
Load Balancing: Concepts and patterns

🤖 Gen AI & AI-Powered Development Tools

Generative AI: ChatGPT, Claude, Gemini for code generation
GitHub Copilot: AI code completion and generation
AI-powered debugging and optimization
Cursor AI: AI-powered IDE
Prompt engineering for software development

🛠️ Development Tools & IDEs

VS Code / Cursor
IntelliJ IDEA (for Java development)
PyCharm (for Python development)
Terminal: Bash/Shell scripting

Learning Outcomes

By completing CodeReady, you'll demonstrate job-ready competence in dual-language programming, data structures & algorithms, database design, API development, and scalable systems.

1️⃣ Dual-Language Proficiency

Write robust code in Java and Python with idiomatic patterns

2️⃣ Data Structures & Algorithms

Implement arrays, trees, graphs, heaps and analyze complexity

3️⃣ Problem-Solving Patterns

Two pointers, sliding window, recursion, DP, graph algorithms

4️⃣ Database Design & SQL

Normalized schemas, joins, indexing, transactions & isolation

5️⃣ RESTful API Development

HTTP methods, stateless design, caching, pagination, auth basics

6️⃣ Scalable Architecture

Load balancing, sharding, CAP, trade-off analysis & diagrams

7️⃣ End-to-End Delivery

Integrate backend + DB + a simple frontend; write clean docs

8️⃣ Interview Readiness

Explain decisions, walk through DSA, and whiteboard designs

9️⃣ Gen AI & AI-Powered Development

Master Generative AI tools (ChatGPT, Claude, Gemini), GitHub Copilot, and AI-powered workflows for modern software development

Weekly Curriculum

15 weeks of structured learning with daily topics, assignments, and quizzes

Weeks 1-3: Programming 101 (Phase 1)

Week 1

Day 1: Variables, types, operators
Day 2: Control flow & boolean logic
Day 3: Loops & iteration patterns
Day 4: Functions/methods, scope & returns
Day 5: I/O & core collections (list/array/dict)

Assignment: CLI calculator (both languages). Quiz: 10 MCQs + 1 coding.

Week 2

Day 1: OOP basics (classes/objects)
Day 2: Encapsulation, inheritance, polymorphism
Day 3: Exceptions & error handling
Day 4: File I/O in Java & Python
Day 5: OOP workshop (build a mini library)

Assignment: Book Library class with save/load. Quiz: 10 MCQs + 1 coding.

Week 3

Day 1: Modular programming & packaging
Day 2: Complexity & Big-O
Day 3: Debugging & unit testing (JUnit/pytest)
Day 4: Git/GitHub basics; PR etiquette
Day 5: Mini-project: CLI To-Do app (CRUD)

Assignment: To-Do app with tests & README. Quiz: 10 MCQs + 1 coding.

Weeks 4-6: Data Structures (Phase 2)

Week 4

Day 1: Arrays & lists
Day 2: Linked lists (SLL/DLL)
Day 3: Stacks (LIFO) & use-cases
Day 4: Queues/Deque & variants
Day 5: Lab: implement DS in both languages

Assignment: Implement List/Stack/Queue APIs. Quiz: 10 MCQs + 1 coding.

Week 5

Day 1: Trees & recursion basics
Day 2: BST ops (insert/delete/search)
Day 3: Graphs & adjacency models
Day 4: Traversals: DFS/BFS
Day 5: Workshop: paths, levels, cycles

Assignment: BST + BFS on grid; README with Big-O. Quiz: 10 MCQs + 1 coding.

Week 6

Day 1: Hash tables (hashing, collisions)
Day 2: Heaps/PQs; heap sort
Day 3: Recursion deep-dive
Day 4: Memory mgmt, GC concepts
Day 5: DS practice set (mixed)

Assignment: LRU Cache (hashmap+DLL). Quiz: 10 MCQs + 1 coding.

Weeks 7-9: Problem Solving (Phase 3)

Focus on patterns and 30-40 easy/medium LeetCode-style questions with guided walkthroughs. Daily flow: short lecture goals → key takeaways → real-world analogy → hands-on exercise → stretch → review.

Week 7

Day 1: Problem analysis & constraints; pattern library intro
Day 2: Two-pointers; sorted arrays & string scans
Day 3: Sliding window (fixed & variable)
Day 4: Sorting fundamentals; stability & when to use what
Day 5: Review set (6-8 questions) + live walkthrough

Assignment: 10 questions (2× two-pointers, 4× sliding-window, 4× sorting). Quiz: 10 MCQs + 1 coding.

Week 8

Day 1: Recursion patterns & backtracking (subsets, permutations)
Day 2: Dynamic Programming I (memoization vs tabulation)
Day 3: DP II (knapsack, coin change, LIS ideas)
Day 4: Graph algorithms I (BFS shortest path, topo sort)
Day 5: Mock interview #1 (15-min DSA + 10-min feedback per student)

Assignment: 10 questions (3× recursion/backtracking, 5× DP, 2× graph BFS). Quiz: 10 MCQs + 1 coding.

Week 9

Day 1: Greedy techniques; exchange arguments & proofs of correctness (informal)
Day 2: Advanced graphs (Dijkstra intro; when BFS vs Dijkstra)
Day 3: Mixed set (hashing, heap, prefix sum)
Day 4: System-aware problem solving (I/O limits, memory caps)
Day 5: Mock interview #2 + feedback & personalized plan

Assignment: 10 questions (2× greedy, 3× heap, 3× hashing/prefix, 2× graph). Quiz: 10 MCQs + 1 coding.

Weeks 10-11: Databases (Phase 4)

Week 10

Day 1: Relational model, tables, PK/FK; ER → schema
Day 2: Normalization (1NF-3NF); denormalization trade-offs
Day 3: SELECT, WHERE, ORDER BY, LIMIT; CRUD basics
Day 4: Joins (INNER/LEFT/RIGHT/FULL), GROUP BY, HAVING
Day 5: Lab: design a Course–Student–Enrollment schema

Assignment: Create schema & seed data; 12 queries (mix of joins & groups). Quiz: 12 MCQs + 1 query.

Week 11

Day 1: Indexes & query plans; when indexes hurt/help
Day 2: Transactions, ACID; isolation levels & anomalies
Day 3: Stored routines & views (intro), pagination patterns
Day 4: NoSQL overview (key-value, document); when to choose which
Day 5: Mini-project: Analytics queries & simple dashboard export (CSV/JSON)

Assignment: Optimize queries (add/remove indexes), measure timings, document rationale. Quiz: 12 MCQs + 1 query.

Weeks 12-13: System Design (Phase 5)

Week 12

Day 1: Client-server, REST, HTTP verbs, idempotency; API design (resources, pagination)
Day 2: Statelessness, session vs token auth (concepts); rate limiting basics
Day 3: Caching (CDN, reverse proxy, app-level); cache invalidation strategies
Day 4: Load balancing (round-robin, least-conn); health checks; blue/green overview
Day 5: Design exercise: URL Shortener (read-heavy, cache, DB schema, API)

Assignment: Write a 2-page design doc + simple API spec (OpenAPI snippet encouraged). Quiz: 12 MCQs.

Week 13

Day 1: Databases at scale: replication vs sharding; read/write paths
Day 2: Consistency models; CAP & PACELC intuition; queues for decoupling
Day 3: Observability 101 (logs, metrics, traces) & SLOs; error budgets
Day 4: Design exercise: News Feed/Timeline (fan-out, denorm, caches)
Day 5: Mock system design interview + structured feedback rubric

Assignment: 3-page design doc with diagram and capacity estimates (QPS, storage). Quiz: 12 MCQs.

Week 14: Gen AI & AI Tools (Phase 6)

Week 14

Day 1: GitHub Copilot fundamentals: Installation, configuration, code generation
Day 2: ChatGPT for development: Prompt engineering, debugging, documentation
Day 3: Claude & advanced AI: Code analysis, architecture suggestions, optimization
Day 4: AI debugging tools: Error analysis, security scanning, performance optimization
Day 5: Modern AI workflow: CI/CD integration, AI ethics & best practices

Assignment: Enhance capstone project using AI tools. Quiz: 10 MCQs on AI tool usage.

Week 15: Capstone Project (Phase 7)

Build 2-3 complete end-to-end applications that combine API + Database + Frontend concepts with AI enhancement. Teams of 2-3; PR-based workflow on GitHub.

Project 1: Smart To-Do with Analytics (REST API, MySQL, dashboard)
Project 2: E-Commerce Lite (Catalog, cart, orders, inventory consistency)
Project 3: Minimal Chat Service (User/channel models, message APIs, pagination)

Deliverables: Design doc (3-5 pages), API spec (OpenAPI), DB schema (ER + DDL), runnable code, README, demo video (≤5 min).

Capstone Projects

Build 2-3 complete end-to-end applications that combine API + Database + Frontend concepts

📝 Smart To-Do with Analytics

REST API (CRUD tasks, labels)
MySQL schema (users, tasks, events)
Basic dashboard (completed/overdue)
Pagination, search functionality
Caching layer for popular queries

🛒 E-Commerce Lite

Catalog, cart, orders management
Inventory consistency
Simple checkout flow
Eventual consistency vs transactions
Rate limiting on checkout

💬 Minimal Chat Service

User/channel models
Message send/fetch APIs
Pagination for messages
Cache for recent messages
Long-polling vs polling trade-offs

📋 Project Requirements

Design Document: 3-5 pages with trade-offs & capacity estimates
API Specification: OpenAPI/Swagger documentation
Database Schema: ER diagrams + DDL scripts
Implementation: Runnable code with seed data
Documentation: README with setup instructions
Demo Video: ≤5 minutes walking through endpoints

Evaluation Rubric

Transparent and fair grading system focused on practical skills

40% Assignments

Code correctness, tests, readability, docs, PR quality

20% Quizzes

Concept mastery via MCQs + short coding/SQL

40% Projects

Design docs, implementation, demo, teamwork & reviews

📊 Detailed Rubric (Per PR/Assignment)

Correctness (40%) – Passes tests; handles edges
Design (20%) – Cohesive APIs, clean abstractions, data modeling
Code Quality (20%) – Readability, naming, structure, comments
Testing (10%) – Unit tests (JUnit/pytest), coverage on core logic
Documentation (10%) – README, usage, trade-offs, diagrams

⚠️ The Job Market Harsh Reality

India produces 1.5 million engineers yearly, but only 10% secure jobs. 83% fail to find relevant employment due to the severe mismatch between college curricula and industry needs. Traditional education focuses on theory, but employers demand practical skills in Data Structures, Algorithms, System Design, and Gen AI.

1.5M Engineers Graduated Yearly

10% Get Jobs

83% Unemployed

Source: NASSCOM India Tech Industry Report 2023

Ready to Transform Your Tech Career?

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Program Overview