Online

Industry-Ready Full Stack Development

Build. Deploy. Scale. Become a Professional Full Stack Software Engineer.

Duration: 14 Weeks

Mode: Monday–Friday

Format: Hands-On | Live Project | Agile Team

Focus

Full Stack
DevOps & Cloud
Generative AI
LLM
RAG
Agentic AI

100+

Hiring Partner

1–2

Enterprise Applications Built

15+

Industry Tools & Technologies

80%

Hands-on Practical Learning

WHY JOIN THIS PROGRAM?

Build a Real Product from Day 1 — learn by developing, not just studying theory.
Gain Real Team Experience — work in a professional-style Agile engineering team.
Master Full Stack Development — build complete frontend and backend applications.
Learn Modern Cloud & DevOps — Docker, Linux, AWS and CI/CD.
Add Generative AI to Your Skills — work with LLMs and AI-powered applications
Build RAG & AI Agents — gain practical exposure to RAG, Vector DB, Agentic AI and MCP.
Use Industry-Relevant AI Tools — work with Copilot, Cursor, Claude and other modern tools
Take Your Project to Production — deploy your application on AWS and experience the release process.
Build a Job-Ready Portfolio — graduate with a substantial project you can demonstrate
Learn Through Real Engineering Practices — Agile, Git/GitHub, code reviews, testing, debugging and continuous development. Full Stack Development - Live P… Full Stack Development - Live P…

📘 What You'll Experience

What You'll Experience

Build a real-world product from Day 1, work as a professional engineering team, and gain hands-on experience across Full Stack Development, DevOps, Cloud, Generative AI, LLM, RAG and Agentic AI.

Full Stack Development

Learn Java Full Stack, MERN or MEAN Stack
Build frontend and backend applications
Develop REST APIs and business features
Work with SQL and MongoDB databases
Implement authentication, security and user roles

Live Project & Agile Team Experience

Build one real-world product continuously for 14 weeks
Start working on the project from Day 1
Work in a 5-member engineering team
Follow Agile Scrum, sprint planning and reviews
Participate in weekly demos and code reviews

DevOps, Cloud & AI Engineering

Learn Docker, Linux, AWS and CI/CD
Build automated pipelines using GitHub Actions
Deploy applications on AWS
Build Generative AI and LLM-powered features
Develop RAG applications with Vector Databases
Build AI Agents, MCP and multi-agent workflows

Testing, Production & Career Readiness

Implement unit, integration and end-to-end testing
Practice debugging and application optimization
Apply AI evaluation, security and guardrails
Take your application through production deployment
Build a professional GitHub portfolio
Complete final project demo and assessment

🏅 CAREER SUPPORT

Career & Placement Support

Everything you need to become interview-ready, project-ready, and industry-ready for software engineering roles.

Resume & LinkedIn Optimization

Create an ATS-friendly software engineering resume and optimize your LinkedIn profile to highlight technical skills, live projects, and internship achievements.

Technical Mock Interviews

Practice coding interviews, Java Full Stack concepts, system design basics, and HR interviews with personalized mentor feedback.

Hiring Network & Career Opportunities

Access placement assistance, hiring partner opportunities, career guidance, and job referrals to kick-start your software engineering career.

Code Review & Project Evaluation

Receive expert feedback on your applications, GitHub repositories, architecture, API design, and coding best practices to build production-ready solutions.

Professional Skills Development

Develop workplace communication, Agile collaboration, problem-solving, presentation skills, and client interaction required in modern software development teams.