cloud-native deployment, and production-grade AI integration — build, deploy, and scale AI-powered applications end-to-end.
Industry-grade toolchain you'll master
Master the full stack of modern web, cloud, and AI tools used in enterprise-grade production systems.
Build responsive, type-safe, and production-ready frontends using React and TypeScript.
Design scalable, secure APIs and microservices using Java and modern persistence layers.
Containerize, orchestrate, and operate full-stack apps with CI/CD and observability.
Integrate LLMs, RAG, and agent patterns into production applications securely and at scale.
Four specialist tracks that take you from frontend fundamentals to enterprise backends, cloud-native operations, and modern software engineering practices.
Develop a responsive, accessible enterprise frontend using React, TypeScript, authentication, state management, and automated testing.
Develop a secure, scalable enterprise backend using Spring Boot or FastAPI with authentication, database integration, and REST APIs.
Containerize and deploy a full-stack application using Docker, Kubernetes, CI/CD pipelines, monitoring, and secure cloud infrastructure.
Build, test, document, and deploy a production-ready enterprise application following modern software engineering and DevOps best practices.
Tools and platforms used across frontend development, backend engineering, cloud-native deployment, DevOps, databases, and enterprise software development.
Four focused phases that take you from frontend fundamentals to production-ready AI-enabled full-stack systems.
HTML, CSS, JavaScript and TypeScript fundamentals plus component-driven UI with React.
Responsive React app prototype
Core Java/Python, REST API design, database modeling and secure authentication patterns.
Authenticated CRUD API + DB schema
Containerization, Kubernetes orchestration, CI/CD pipelines and monitoring for production readiness.
Kubernetes-deployed service with CI/CD
Integrate LLMs, RAG, and agent patterns into your full-stack app, optimize for cost and scale, and finalize documentation.
Production-ready AI SaaS capstone + portfolio
Watch learners evolve from single-layer developers to production-ready AI full stack engineers in 16 weeks.
Isolated Skills
~30% Job Ready
AI Full Stack Pro
95% Job Ready
Comfortable in one layer (frontend or backend) but limited cross-stack experience.
Limited experience shipping services, CI/CD, or scaling ML in production.
Unfamiliar with LLMs, RAG, vector DBs, or agent workflows in production.
Build end-to-end AI-enabled applications from UI to model deployment.
Deploy and optimize LLMs, RAG pipelines, and agent workflows on cloud and edge.
5+ production-grade capstones demonstrating frontend, backend, cloud, and AI integration.
Join 2,400+ engineers who already made the leap.
Build systems that prove your technical depth to hiring managers.
Responsive dashboard with authentication and state management.
Distributed backend services with secure APIs and caching.
Containerized services deployed with orchestration and CI/CD pipelines.
RAG-powered assistant with agent workflows, deployed as a production-grade SaaS.
Real stories from engineers who transformed their careers.
"I transitioned from a traditional web developer to an AI-capable full-stack engineer. Within 9 months, I shipped a production. — RAG SaaS assistant and moved into a cloud+AI role The program gave me the confidence and portfolio to make the switch."
Senior Robotics Engineer
@ GreyOrange
"The frontend dashboard project sharpened my React and TypeScript skills. Authentication and state management felt like building a real enterprise product."
@ Qualcomm
"Redux integration gave me confidence in handling complex UI states. This project became the centerpiece of my portfolio."
@ Boston Dynamics
"Designing microservices with Spring Boot and PostgreSQL taught me how to scale APIs securely. Redis caching was a game-changer for performance."
@ NVIDIA
"This backend project mirrored real enterprise workloads. It proved I could deliver distributed systems with resilience."
@ Amazon Robotics
"Dockerizing services and deploying on Kubernetes gave me hands-on cloud ops experience. CI/CD pipelines made the workflow production-ready."
@ Tesla
"Building a RAG assistant with FastAPI and LangChain was my first true AI integration. Deploying it as SaaS made me hiring-ready."
@ Waymo
Flexible learning paths tailored to your career milestones. Select the track that fits your background.
Total INR 5,10,000* (Inclusive of taxes)
Total INR 7,50,000* (Inclusive of residency)
*Estimates based on market placement reports. Individual outcomes may vary.
Your certification formally validates your skill set in recruiter searches.
Unique cryptographic hashes registered on global validation boards.
Add directly to your credentials panel with pre-filled ID tracking.
For successful execution and completion of all curriculum pathways, hands-on industrial capstones, and verifiable code deliverables.
Continue your journey with these focused tracks.
Master robotic arm kinematics and MoveIt integration.
Drone control systems, flight stacks, and aerial mapping.
Scaling robot deployments using AWS RoboMaker and Kubernetes.
Artificial Intelligence is revolutionizing every industry. Discover where your AI expertise can create the biggest impact.
Hover to explore ?
Build secure, scalable platforms for payments, fraud detection, algorithmic trading, and customer analytics.
$25B Market
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Deliver personalized shopping experiences with recommendation engines, AI chatbots, and demand forecasting.
40% Growth
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Engineer secure platforms for patient data, diagnostics, medical imaging, and telemedicine powered by AI.
HIPAA Ready
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Deploy scalable SaaS products with integrated AI assistants, cloud-native architectures, and enterprise automation.
Enterprise ReadyNo prior experience is required. The program starts with programming fundamentals and gradually progresses to frontend development, backend engineering, databases, cloud technologies, DevOps, and enterprise application development.
A laptop or desktop with an Intel Core i5 (or equivalent), 8GB RAM minimum (16GB recommended), SSD storage, Windows/macOS/Linux, and a stable internet connection is sufficient.
Yes. After successfully completing the curriculum, assessments, and capstone project, you'll receive a Full Stack Engineering certification that showcases your practical development skills.
Yes. Flexible EMI and installment payment options are available. Contact the admissions team for available plans and scholarship opportunities.
You'll receive one-on-one mentorship, resume reviews, LinkedIn profile optimization, mock interviews, GitHub portfolio guidance, coding assessments, and placement assistance.
The Full Stack Engineering program is designed to be completed in approximately 10 to 12 months. It includes live classes, practical coding exercises, assignments, mini projects, cloud deployment, and a final enterprise capstone project.
Yes. Every project includes complete source code, documentation, setup instructions, deployment guides, Git repository structure, and best practices so you can build a professional portfolio.
You can ask questions during live sessions, participate in discussion forums, attend dedicated doubt-clearing sessions, interact with mentors, and receive one-on-one guidance whenever required.
The program offers instructor-led live classes along with recorded sessions, coding assignments, quizzes, and practical labs so you can learn at your own pace whenever needed.
Yes. You'll develop responsive frontend applications, REST APIs, database-driven systems, authentication modules, cloud deployments, and a production-ready enterprise Full Stack application.
Yes. After successfully completing all coursework, assessments, and the capstone project, you will receive a Full Stack Engineering Completion Certificate.
After completing the program, you can pursue roles such as Frontend Developer, Backend Developer, Full Stack Developer, Java Developer, Python Developer, Software Engineer, API Developer, Web Application Developer, DevOps Engineer, Cloud Engineer, and Software Consultant.
Transform your skills from single-layer development into full-stack AI capability. Secure your seat for the next cohort and launch the capstone SaaS project that employers notice.
