Problem-solving and core DSA
Develop structured problem-solving skills and algorithmic thinking for complex systems, covering every major data structure and algorithm pattern asked at top companies.
6 month program with
DSA, System Design, Full Stack, and GenAI specialization
Become a Skilled Software Developer with AI Specialization
Learn DSA, system design, full-stack development, and AI Specialisation through a structured curriculum built for product-based companies.
- Live & Interactive Sessions
- 1:1 Mentorship by MAANG Engineers
- End-to-end Interview Preparation
Placement percentage
98%
GenAI-integrated learning
The program is built around how modern software engineers are hired and evaluated.
Learn CS fundamentals and problem-solving deeply, then use GenAI assistants to design, debug, review, and explain code, system designs, and engineering decisions with professional judgment.
GenAI in every module
Use GenAI for code review, debugging, design critique, documentation, and mock interview practice across the complete program.
Career-ready systems
Build projects that move from CS fundamentals to scalable architectures, full stack applications, and AI-powered features you can explain end-to-end in interviews.
Who it is for
Software engineering roles are changing. Build the skill stack that matches them.
Choose your current stage and see how this program supports growth into SDE, full stack, and AI-integrated engineering roles.
I want to build a strong command over CS fundamentals, DSA, and system design.
- End-to-end workflows with CS fundamentals, DSA, LLD, HLD, and full stack development.
- GenAI-assisted learning that helps you move faster while validating output.
- Projects that make your engineering portfolio concrete and interview-friendly.
GenAI operating system
Design, automate, validate, and own production-grade software systems.
GenAI can accelerate execution. Your advantage is knowing what to ask, what to inspect, and how to turn outputs into reliable code, scalable architectures, and confident engineering decisions.
01
GenAI-assisted labs
Practice with guided workflows where GenAI helps review code, debug logic, critique designs, and explain trade-offs.
02
Engineering-first projects
Every build requires a clear explanation of architecture, data flow, scalability, trade-offs, and business impact.
03
Interview simulation
Mock interviews focus on DSA, low-level design, high-level system design, GenAI integration, and behavioral rounds.
Tools you will learn with us
Benefits
With This Program You'll Master
Four core pillars, built into one industry-vetted curriculum that mirrors how product companies actually hire.
Problem-Solving & Core DSA
Develop structured problem-solving skills and algorithmic thinking for complex systems.
System Design (LLD + HLD)
Learn scalable architectures and apply them in real-world use cases.
Gen AI for Software Engineers
Learn how to build & integrate AI models, APIs & automation tools into modern applications.
Full Stack Development
Build and ship complete frontend, backend, and deployment-ready production applications.
Curriculum
A step-by-step roadmap, designed by industry engineers.
Covering CS fundamentals, DSA, system design, full stack, and applied GenAI, so your skills stay relevant as engineering evolves.
Module 0 - Beginner Starting Point
4 WEEKS
Programming constructs are where every software engineer starts. These four weeks build the syntax, logic, and OOP fluency needed before you move into advanced problem solving.
TOPICS COVERED:
Programming Basics
- Variables & Data Types
- Operators & Expressions
- Conditionals
- Loops
- Functions
OOP & Foundations
- Classes & Objects
- Inheritance & Polymorphism
- Arrays Basics
- String Basics
- Time & Space Complexity Intro
Module 1 - Master Problem Solving in DS & Algo
12 WEEKS
Problem-solving in DS & Algo is one of the most important topics to master for a software engineer. That is why, we spend the first 12 weeks of our program ensuring you build a solid command over problem solving skills.
TOPICS COVERED:
Linear DSA
- 1D & 2D Array
- Strings
- Number System & Maths
- Bit Manipulation
- Binary Search
- 2 pointers
- Recursion
- Hashing
- Sorting
- Linked List
- Stacks & Queues
Non-linear DSA
- Trees
- Binary Trees & Binary Search Trees
- Heaps
- Greedy Algorithms
- Dynamic Programming
- Graphs
Module 2 - System Design - SQL + LLD + HLD
8 WEEKS
System design is what separates an engineer who can code from one who can architect. These 8 weeks cover SQL, low-level design, and high-level design through real case studies.
TOPICS COVERED:
SQL & Database Design
- SQL Fundamentals
- Joins
- Sorting and Grouping
- Aggregation
- CTEs
- Subqueries
- Advanced String Functions, Regex/Clause
- Windowing Functions
- Recursive CTEs
Low-Level Design (LLD)
- Object Oriented Programming
- Solid Principles
- Design Patterns
- UML Diagram
- Schema Design
- API Design
- Case Studies- Machine Coding Interviews
High-Level Design (HLD)
- Architecture Design
- Distributed Systems
- Domain Name System (DNS)
- Load Balancing
- Consistent Hashing
- CAP Theorem
- Caching
- Content Delivery Network (CDNs)
- Transactions
- SQL vs NoSQL
- Scalability
- ZooKeeper + Kafka (Distributed Messaging Queue)
- Microservices
- Security
- Case Studies
Module 3 - Full Stack Specialization with Project
6 WEEKS
Theory becomes real once you ship something end to end. These 6 weeks take you from backend APIs to a deployed, production-style full stack project.
TOPICS COVERED:
Backend Engineering
- REST API Design
- Authentication & Authorization
- Node.js / Spring Boot
- Testing & Error Handling
Frontend & Deployment
- React Fundamentals
- State Management
- Docker & CI/CD
- AWS Cloud Deployment
Module 4 - GenAI & Agentic AI For SDEs
4 WEEKS
AI is no longer a separate role, it's part of how senior engineers design systems. These 4 weeks cover building and integrating AI-native features into production backends.
TOPICS COVERED:
LLM Foundations
- Prompt Engineering
- Prompt design patterns & frameworks Chain-of-thought & reasoning techniques
- System prompt architecture
- Few-shot & zero-shot learning
- Structured outputs & function calling
Agentic AI
- Agentic AI frameworks (LangGraph, CrewAI)
- Tool use & function calling
- Memory design (short-term & long-term)
- Multi-agent orchestration
- Agentic RAG systems
- MCP integration
- LLM Evaluation & AI Safety
RAG Systems
- Embeddings & semantic search
- Vector databases (Pinecone, ChromaDB)
- Document chunking strategies
- Retrieval pipeline design
- Building a production RAG app
Electives - Important Add-ons
FLEXIBLE
At Uncoder, the core curriculum is more than enough to crack top product-based companies, we've built it to cover everything that matters. But if you're someone who loves to go deeper, or wants to explore your personal areas of interest, we've got you covered. Our electives help you push beyond the essentials whether you're curious about DevOps, Leadership, GenAI, or System Design you can learn it all.
TOPICS COVERED:
Advanced DSA
- Tries
- Segment Tree
- String Pattern Matching
- Advanced DP & Graph Problems
1. System Design Case Studies
Go beyond theory. Learn system design with practical, real-world examples, frontend to backend.
- High-Level Design (HLD)
- Chess Game Website
- Hotstar Streaming System
- Low-Level Design (LLD)
- Rate Limiter
- Parking Lot Design
- Frontend System Design
- Netflix Frontend Architecture
- WhatsApp Web Frontend Design
2. Backend Specialization in Java
Master Spring Boot to build production-grade APIs, handle scale, and power real backend systems.
- CRUD Operations with JPA
- REST API Creation & Postman Integration
- Exception Handling & File Upload
- Thymeleaf Templates & Project Layout
- Project: Full-stack eCommerce app with Spring Security & Login
3. Mobile Development
Master mobile dev and build full-stack apps users love for both Android & iOS.
- Project: AI Chat App
- Tech Stack: React Native (Expo), Firebase (Firestore & Auth)
- Tools: Firebase SDK, Navigation, Expo CLI, OpenAI, Redux, HTTP Requests
4. Computer Networks
Understand how data travels through the web from IPs and DNS to protocols that power every application.
5. Operating Systems
Strengthen your understanding of processes, memory, and scheduling, the foundations behind efficient software performance.
6. More Electives
Explore additional specializations to broaden your skill set and stay ahead in the industry.
- C# & .NET
- DevOps
Career Add-ons
- Resume & Profile Building
- Behavioral Interview Prep
- Negotiation & Offer Evaluation
- Open Source Contribution
Projects
Build real-world and AI-powered projects.
Gain practical experience by building end-to-end projects used in top companies, designed to be opened, explained, and defended in an interview.
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Uncoder partners with the 100+ companies!
Certificate
Finish with a certificate built for your resume and LinkedIn.
Showcase structured learning, hands-on projects, and AI-integrated software engineering skills through Uncoder certification.
Project evaluation
Mentor guidance
Career support
Skills you will build
DSA, System Design, Full Stack, and GenAI skills you will learn
Explore the core domains covered through the program, projects, and mentor-led learning path.
Data Structures
Algorithms
SQL & DBMS
Operating Systems
Computer Networks
Generative AI
AWS
React
Node.js
System Design
Invest in your software engineering future
Flexible learning plans
Built for working professionals and ambitious learners
Learn DSA, system design, full stack development, and GenAI with guided mentorship, hands-on projects, career support, and a learning path designed around your goals.
What's Included
No-cost EMI available
Flexible monthly payments
Full Day access from Day 1
All tracks, all modules, all tools
Lifelong Access Unlock
Curriculum, recordings, and future updates
Career support included
Resume review, mock interviews, placement assistance
Where GenAI-native software engineering takes you
GenAI didn't replace software engineers. It raised the bar for production-ready builders.
SDE-1 / SDE-2
Full Stack Engineer
Backend Engineer
System Design Engineer
AI-Integrated Engineer
Platform Engineer
Senior Software Engineer
Placement percentage
Independently assessed placement outcomes across learners who completed the program and engaged with placement support.
Average package
Average compensation secured by learners after completing the software engineering program and interview preparation.
Next cohort
Ready to upskill in Software Engineering with AI
Talk to an advisor to understand eligibility, schedule, projects, fees, and the best path for your current career stage.
FREQUENTLY ASKED QUESTIONS
Got Questions? We've Got Answers
Do I need coding experience before joining?
No. The program begins with CS fundamentals and programming basics, then moves into DSA, system design, and full stack workflows step by step.
Will I build real projects?
Yes. The curriculum includes portfolio projects from CLI tools and graph visualizers to LLD/HLD systems and a full stack capstone with a GenAI feature.
How is AI included in the course?
AI is used throughout the course for code review, debugging support, design critique, mock interviews, and project improvement.
Is placement support included?
Yes. Learners receive career guidance, resume support, mock interviews, and placement-oriented assistance.