AI Native Full Stack Engineering
Applied AI & Prompt Engineering plus AI-native full stack development — one complete builder path.
Upcoming Batches
February 2027 Batch
Ongole · In-person
Schedule to be Announced
February 2027 Batch
Google Meet · Online
Schedule to be Announced
Online learning runs on InGenX.
Enrol on InGenX →February 2027 Batch
Bhimavaram · In-person
Schedule to be Announced
Prefer online? Enrol on InGenX →
What You'll Learn
Applied AI & Prompt Engineering plus full stack development in one AI-native builder path.
Start with practical prompt engineering and AI product skills, then progress into deploy-ready full stack development.
Learn core web foundations: HTML, CSS, JavaScript, and modern TypeScript workflows.
Build responsive front-end apps with React, reusable components, and clean state handling.
Create robust back-end APIs with Node.js, routing, validation, and error handling.
Work with databases, schema design, and real-world CRUD/data modeling practices.
Integrate AI capabilities into web products using LLM APIs and prompt-driven features.
Use Git, GitHub, and team collaboration workflows like branches, PRs, and code reviews.
Deploy production-ready applications on modern hosting platforms with confidence.
The Curriculum
Week 1
AI Foundations and Prompt Engineering
Learn AI product mindset and core prompt patterns before writing application code.
Week 2
Advanced Prompt Workflows
Design multi-step prompts, structured outputs, and reliable AI feature flows.
Week 3
Web Foundations
Start with HTML, semantic structure, and modern CSS fundamentals for product UI.
Week 4
JavaScript Core
Cover variables, functions, objects, arrays, async basics, and browser APIs.
Week 5
TypeScript for Teams
Use strong typing, interfaces, and safe patterns for scalable app development.
Week 6
React Fundamentals
Build component-driven UIs with props, state, events, and reusable patterns.
Week 7
Advanced Frontend Patterns
Handle routing, forms, performance basics, and cleaner UI architecture.
Week 8
Backend with Node and Express
Build APIs, structure controllers, and manage request/response lifecycle.
Week 9
Data Modeling and Persistence
Work with database design, relationships, and practical CRUD workflows.
Week 10
Authentication and Security Basics
Implement auth flow fundamentals and secure key endpoints responsibly.
Week 11
AI Integration in Apps
Connect AI APIs to web products and design meaningful intelligent features.
Week 12
System Thinking and Architecture
Organize frontend/backend modules and design maintainable project structure.
Week 13
Team and Capstone Development
Run agile-style team sprints, then build your own end-to-end capstone showcasing full-stack problem solving.
Week 14
Testing, Deployment, and Portfolio
Improve quality with testing and polish, ship to production, document your work, and prepare a strong portfolio demo.
Is This Course For You?
Students who want to become AI-native full stack developers
Beginners willing to commit 3 months
Anyone who wants a career in tech, starting from zero
What You'll Walk Away With
Certified AI Native Full Stack Developer credential
A practical result you can confidently show in interviews and demos.
Two portfolio projects: individual capstone + team project
A structured milestone that proves your progress and commitment.
Production deployment experience with GitHub and Vercel
Real execution experience you can use for your next career move.
Ready to start building for real?
Enrolments are paused for this course right now. Check back soon or explore online options on InGenX.
Enrolments pausedPrefer online? Enrol on InGenX →