Build Full Stack Apps with Terraform & GenAI. Launch Your AI Career.

From coding to cloud – learn to build, scale, and automate intelligent applications.

Why Choose This Course?

Go beyond basics and build GenAI-powered full stack apps with expert guidance and real-world tools.

Zero to AI-Powered Developer in One Program

Dive deeper into both web and AI development with real-world use cases and structured weekly learning.

Hands-on & Project-Based

Build production-grade applications and deploy them end-to-end with real tools and scalable architecture.

GenAI Meets Full Stack

Master React, Node.js, MongoDB, and integrate OpenAI, LangChain, and vector databases for smart apps.

Industry Mentorship

Weekly live sessions, portfolio reviews, and expert guidance to help you grow from beginner to pro.

Career-Ready Outcomes

Create a job-winning portfolio, practice mock interviews, and prepare confidently for real tech roles.

Who Can Join This Course?

Whether you're starting out or aiming to innovate with AI, this course is designed to support your goals.

Beginners

Beginners in Tech

No prior coding experience? Start your journey into software and AI development from the ground up.

Career Switchers

Career Switchers

Looking to transition into web or AI roles? This program provides a step-by-step path to switch successfully.

Junior Developers

Junior Developers

Already coding? Learn advanced full stack and GenAI skills to take your development expertise to the next level.

Entrepreneurs

Entrepreneurs & Freelancers

Build and deploy AI-powered products or client-ready applications with confidence and modern tools.

Week-Wise Curriculum (9 Months)

Master Full Stack, DevOps & Generative AI — one week at a time

Month 1

Web Foundations + Git

  • Week 1: HTML5, page structure, semantic elements
  • Week 2: CSS3, Flexbox, Grid, media queries
  • Week 3: JavaScript basics—variables, loops, DOM
  • Week 4: Responsive design, projects
  • Week 5: Git, GitHub, version control workflows
  • Week 6: JavaScript advanced (ES6+ features)

Month 2

React & Front End Architecture

  • Week 7: React basics—components, props
  • Week 8: React state, events, hooks
  • Week 9: Routing (React Router), forms
  • Week 10: Reusable components + state patterns
  • Week 11: TailwindCSS or Bootstrap
  • Week 12: API integration with fetch/axios

Month 3

Backend Development (Node.js + Express)

  • Week 13: Node.js setup, NPM, modules
  • Week 14: Express routes, middleware, REST API design
  • Week 15: MongoDB & Mongoose modeling
  • Week 16: Authentication with JWT, OAuth basics
  • Week 17: File uploads, environment variables
  • Week 18: Testing APIs with Postman

Month 4

Generative AI Foundations

  • Week 19: LLMs, NLP concepts, GenAI types
  • Week 20: OpenAI API—ChatGPT, embeddings
  • Week 21: Prompt engineering strategies
  • Week 22: Text summarization & sentiment use cases
  • Week 23: LangChain basics and workflows
  • Week 24: Building a GenAI chatbot prototype

Month 5

GenAI + Full Stack Integration

  • Week 25: Connecting React frontend and AI backend
  • Week 26: Secure OpenAI API calls from backend
  • Week 27: Real-time features—streaming responses
  • Week 28: Frontend UI/UX for AI app
  • Week 29: Using AI-generated content in UI
  • Week 30: Mini project: AI-powered question-answer app

Month 6

DevOps Basics & Deployment

  • Week 31: Linux essentials, Docker intro
  • Week 32: Dockerizing frontend and backend
  • Week 33: Docker Compose for multi-service stacking
  • Week 34: CI/CD pipelines with GitHub Actions or Jenkins
  • Week 35: Basic Helm charts and Kubernetes intro
  • Week 36: Deploy React + Node + AI backend

Month 7

Advanced IaC & Orchestration

  • Week 37: Terraform fundamentals—providers, modules
  • Week 38: Provisioning AWS (EC2, S3, IAM, VPC)
  • Week 39: Versioned Terraform modules and state
  • Week 40: CloudFormation vs Terraform comparison
  • Week 41: Kubernetes deployment using Terraform
  • Week 42: Helm chart automation and Deployment flows

Month 8

Monitoring, Observability & Scaling

  • Week 43: Prometheus metrics setup
  • Week 44: Building Grafana dashboards
  • Week 45: Logging with ELK stack (Elastic + Logstash + Kibana)
  • Week 46: Alerting & health checks, uptime SLA basics
  • Week 47: Auto-scaling infrastructure basics
  • Week 48: Performance tuning & load tests

Month 9

Capstone Project & Career Prep

  • Week 49: Capstone planning and architecture design
  • Week 50: Implementation—Frontend, Backend, AI logic
  • Week 51: DevOps pipeline setup, monitoring, deployment
  • Week 52: Resume polishing, mock interviews, LinkedIn strategy
  • Week 53: GitHub portfolio review, production build
  • Week 54: Final presentation, industry review, certificate

Tools & Technologies Covered

Gain hands-on experience with the most in-demand technologies used in modern web development

HTML HTML
CSS CSS
JavaScript JavaScript
React React
TailwindCSS TailwindCSS
Node.js Node.js
Express.js Express.js
MongoDB MongoDB
OpenAI API OpenAI API
LangChain LangChain
Embeddings Embeddings
Prompt Design Prompt Design
Docker Docker
Kubernetes Kubernetes
Helm Helm
CI/CD CI/CD
AWS AWS
Terraform Terraform
Prometheus Prometheus
Grafana Grafana
ELK Stack ELK Stack
Git Git
GitHub GitHub
Linux Linux
YAML YAML
Postman Postman

Real Projects You’ll Build

Hands-on projects that strengthen your skills and showcase your job-ready experience.

Beginner Projects
Portfolio Website
HTML, CSS, JS
React To Do App
CRUD with Hooks
Intermediate Projects
MERN Stack App
Full-stack e-commerce or blog
GenAI Chatbot
Chat interface powered by OpenAI & LangChain
Advanced Projects
AI Article Generator
Generate posts using prompts
Docker Compose Microservices App
Containerized multi-service backend
AI+Web SaaS Capstone
Scalable deployment, CI/CD, monitoring

What Our Students Say

Before this course, I was stuck in basic web projects. Now, I’ve built a full AI-powered chatbot and deployed it on AWS using Terraform. Even my college faculty was surprised with my final project.
Rohit Sharma
Rohit Sharma — Pune
I work in a small startup, and this course helped me add AI features to our existing web app. The LangChain and OpenAI modules were the highlight. My boss has now given me my own AI feature development team.
Neha Iyer
Neha Iyer — Bengaluru
I joined as a beginner with no coding knowledge. The step-by-step structure, especially in the first two months, made learning easy. Today, I can build and deploy full-stack AI apps without copying from YouTube tutorials.
Arjun Nair
Arjun Nair — Kochi
The mentorship calls made all the difference. I could directly ask about my project issues, get them solved, and learn best practices from industry experts. Now I have 4 deployable projects on my GitHub.
Priyanka S.
Priyanka S. — Delhi NCR
As a backend developer, I wanted to learn AI integration. The Month 5 AI + Full Stack sessions were game changers. I implemented an AI content generator for my freelance client and got paid 3x my usual rate.
Vikram Mehta
Vikram Mehta — Mumbai
This course turned my career around. I was preparing for interviews, and the DevOps + Terraform modules gave me exactly the skills companies were asking for. I just cleared my first full-stack developer interview.
Kavya Gupta
Kavya Gupta — Hyderabad
I run a small digital agency. The skills from this course let me offer AI-powered tools to clients — things like automated Q&A bots and article generators. My revenue has gone up by 40%.
Siddharth B.
Siddharth B. — Jaipur
I liked that it’s not just theory. Every concept was backed by a working project — from Docker setups to AI chatbots. Now, I have a real SaaS app deployed on AWS to show in my portfolio.
Ananya Roy
Ananya Roy — Kolkata
Coming from a mechanical engineering background, I never thought I could learn coding. But the gradual pace of this course — starting from HTML to deploying AI apps — made it possible. Now I’m working as a junior full-stack developer.
Manoj Kulkarni
Manoj Kulkarni — Nagpur
I joined mainly for the Generative AI part, but I ended up learning complete DevOps pipelines as well. My capstone AI project impressed a hiring panel, and I got selected for an AI product startup within a week.
Shreya Menon
Shreya Menon — Chennai

Build Apps. Learn AI. Launch a Career in Full Stack + GenAI.

From beginner to job-ready — learn to build and deploy AI-powered web apps step by step.

Frequently Asked Questions?

No, this course starts from scratch.

Yes, you'll receive a verifiable certificate after course completion.

We offer resume help, mock interviews, and connect you with hiring partners. Your projects will also boost your portfolio.

It’s a complete job portal or business web app built using the MERN stack and deployed.

Recordings will be provided after every session.

Yes! We offer resume reviews, mock interviews, and job referrals.

We use OpenAI’s sandbox and local tools to minimize cost.