Admissions Open Now 2026-2027Call Us Now
Explore the key highlights of our Vibe Coding program including AI coding agents, context engineering, full-stack app development, and real-world deployment projects.
3 Months
Developers & Anyone with Basic Coding Knowledge
Offline Campus (Bhubaneswar)
Industry-Recognized Certification
AI-Built Full-Stack Applications with Auth, Database & Live Deployment
Cursor, Claude Code, Replit Agent, Bolt.new & Copilot
Prompt Engineering, Agentic Development, AI Debugging & Deployment
Career Support + Interview Preparation
Internship Assistance Available
3 Months
Intensive Program
1 Capstone
Live, Deployed AI-Built App
Industry Certified
Recognised by AI & Product Teams
Our curriculum bridges natural-language prompting and real engineering discipline, preparing you to ship production-ready software with AI coding agents.
Work directly with Cursor, Claude Code, Replit Agent, and Bolt.new — not simulations.
Learn from engineers shipping real AI-built products, not just teaching theory.
AI-native engineers are the profile startups and agencies are actively hiring for.
Learn the testing, review, and security standards that separate a shippable product from a demo.
Scaffold, connect, and deploy complete applications — auth, database, and UI — in days, not months.
Leave with a live, deployed, production-grade AI-built application and a documented build log.
Direct AI coding agents like Cursor, Claude Code, and Replit Agent to write, run, and iterate on real code.
Write project context, style guides, and rules files (CLAUDE.md, .cursorrules) that produce reliable, maintainable output.
Scaffold complete full-stack applications with AI-assisted database, backend, and UI generation.
Build authentication and connect APIs with AI agents without introducing insecure defaults.
Apply AI-assisted debugging, test generation, and code review to catch what agents get wrong.
Deploy AI-built applications with CI/CD pipelines, environment configuration, and monitoring in place.
Conduct security, licensing, and IP review of AI-generated code before it ships.
Design, build, and ship a portfolio-ready capstone application from idea to live deployment.
Explore high-demand roles for AI-native engineers, from solo product builds to full-stack teams shipping with AI coding agents.
Build and ship complete web applications end-to-end using AI coding agents.
Design project briefs, rules files, and prompting systems that reliably direct AI agents.
Evaluate and configure tools like Cursor, Claude Code, and Replit Agent for teams.
Turn feature requests into working, tested product increments with AI agents.
Build and review AI-generated deployment pipelines and monitoring setups.
Generate and verify test suites for AI-written code before it ships.
Launch and iterate on MVPs solo, using AI agents as the primary development team.
Work inside engineering teams that use agentic coding as a standard workflow.
Help client teams adopt and configure AI coding agents in their own codebases.
Ship features fast at early-stage companies that build AI-native from day one.
Wire up and document AI-generated APIs connecting services and data sources.
Review AI-generated pull requests for security, licensing, and quality risk.
Build and ship complete web applications end-to-end using AI coding agents.
Design project briefs, rules files, and prompting systems that reliably direct AI agents.
Evaluate and configure tools like Cursor, Claude Code, and Replit Agent for teams.
Turn feature requests into working, tested product increments with AI agents.
Build and review AI-generated deployment pipelines and monitoring setups.
Generate and verify test suites for AI-written code before it ships.
Launch and iterate on MVPs solo, using AI agents as the primary development team.
Work inside engineering teams that use agentic coding as a standard workflow.
Help client teams adopt and configure AI coding agents in their own codebases.
Ship features fast at early-stage companies that build AI-native from day one.
Wire up and document AI-generated APIs connecting services and data sources.
Review AI-generated pull requests for security, licensing, and quality risk.
We encourage developers and builders passionate about AI-native engineering to apply for our scholarships.
Scholarships are available for top performers, women in tech, and self-taught builders to support their journey into AI-native software development.
Merit-based and need-based scholarships up to 50% off on course fees.
Explore answers to common questions about our Vibe Coding course, AI coding agents, capstone projects, certification benefits, and career opportunities in AI-native software development.
Vibe Coding: AI-Native Application Development is a hands-on program for developers and product builders that teaches you to direct AI coding agents like Cursor, Claude Code, and Replit Agent to build, test, and deploy real full-stack applications from natural-language prompts.
This course is ideal for developers, product builders, technical founders, and engineering teams who want to build real products faster using AI coding agents, while still applying sound engineering judgment and security discipline.
Comfort with basic programming concepts helps you progress faster, but no prior professional engineering background is required to start. The course builds your prompting, review, and debugging skills alongside your coding fundamentals.
Students learn prompting and context engineering, scaffolding full-stack applications with AI agents, debugging and testing AI-generated code, deployment and DevOps for AI-built apps, and the security, licensing, and ethical practices required to ship responsibly.
AI-native, agentic coding is used across software startups, product teams, agencies, and enterprises to scaffold MVPs, ship features faster, and maintain production applications, wherever teams want to move from idea to working software quickly.
Students get hands-on practice with Cursor, Claude Code, Replit Agent, Bolt.new, GitHub Copilot, Warp AI Terminal, Supabase and Firebase AI tooling, Vercel and Netlify for deployment, and Postman AI for API testing.
Yes. The course culminates in a capstone project: a complete production application with authentication, a database, and a deployed interface, built primarily through natural-language prompting with at least two different AI coding tools.
Graduates can pursue roles such as AI-Native Full-Stack Developer, Prompt & Context Engineer, DevOps Engineer for AI-Assisted CI/CD, QA & Test Automation Engineer, Product Engineer, or launch their own AI-built products as a solo founder.
Yes. Students receive an industry-recognized certification after successfully completing the course, the capstone project, and assessment-based learning activities.
AI coding agents have moved from novelty to a mainstream way of building real products. Learning to direct them effectively, while maintaining engineering judgment and code-quality standards, is becoming one of the most in-demand skills for developers and technical founders.

Ship full-stack products, deploy live applications, and build the engineering judgment to direct AI coding agents responsibly — from idea to production.