MERN Stack Development with GenAI
Build and deploy full stack web apps with MongoDB, Express, React, Node.js and Next.js, and ship AI features into them.
- Status
- Waitlist open
- Duration
- 15 weeks
- Schedule
- Mon to Fri, 1.5 hours a day
- Format
- Live online, hands on building
- Level
- Beginner to intermediate
- Fee
- ₹4,999 + GSTor 2 × ₹2,499.50
Your mentor
Gokul
Sr. MERN Stack & Polymath Developer
Cirakas Consultancy
- 800+ Students Trained
- 5+ Years of Industry Experience
Gokul on LinkedInlinkedin.com (opens in a new tab)“Students don't need more information. They need better direction.”
About the program
What it is
A hands on program in full stack web development. You build complete systems end to end, from the interface to the database and deployment.
What you work on
From responsive interfaces to complex backend APIs, you'll design database schemas, add authentication and deploy production ready applications.
How you learn
We focus on building. Less passive video watching, more writing code, debugging, and receiving direct feedback from mentors on actual projects.
What you will be able to do
Frontend architecture
Build responsive, accessible and fast interfaces with React and modern CSS.
Backend engineering
Build REST APIs with Node.js and Express, with proper error handling.
Database design
Design MongoDB schemas, model relationships between data and write efficient queries.
Authentication systems
Build user sign in with JWT and secure password hashing.
Full stack integration
Connect React frontends to Node backends and manage state across them.
AI application development
Call LLM APIs from your apps to add AI features.
Testing and quality
Write tests and check code quality before you ship to production.
What you will build
Projects grow in scope from the first weeks to the capstone.
Learning
Interactive components
Build basic web components to learn the DOM, state and UI logic.
- JavaScript
- HTML
- Tailwind CSS
Building
Full stack dashboard
Build a secure dashboard with authentication, CRUD operations and responsive charts.
- React
- Node.js
- Express
AI in your workflow
You code with AI tools every day and call LLM APIs from your own apps to generate content and analyze data, while still understanding the code underneath.
Tools covered
- ChatGPT
- Claude
- Cursor
- GitHub Copilot
- Gemini
Preparation for the job search
Built into the program alongside the technical work.
Your profile
- Resume refinement
- Write a developer resume that shows what you built instead of listing generic duties.
- GitHub portfolio
- Organize your repositories with clean commits, clear READMEs and architecture documentation.
- LinkedIn optimization
- Set up your LinkedIn profile so recruiters hiring engineers can find you.
Interview preparation
- Technical interviews
- Practice explaining how you solve problems and prepare for standard technical screening rounds.
- System design basics
- Learn to discuss application architecture, scalability and technical tradeoffs.
- Mock interviews
- Practice behavioral and technical interviews with experienced industry mentors.
Start with a short application.
Pick your cohort and payment plan, pay securely online and start learning right away. Prefer to talk first? Join the waitlist and a coordinator will contact you.
Program fee
₹4,999 + GST
- Pay in full
- ₹4,999 + GST, one-time payment
- Pay in instalments
- ₹2,499.50 at enrollment₹2,499.50 after 25 days
Common questions
Who is this program for?
This program is for beginners and intermediate developers who want to transition from tutorial hell to building production ready applications. It's ideal for those who want structured guidance, mentorship, and practical project experience.
How long is the program?
The program spans 15 weeks, requiring approximately 1.5 hours of dedicated learning and building time per day.
What is the class schedule?
The structured sessions and guided building take place Monday through Friday. Weekends are generally reserved for project work, catching up, or resting.
What projects will I build?
You will progress from interactive frontend components to a full stack dashboard, a real time web application, and ultimately an AI powered SaaS Capstone project.
