Understand the product
Map a learner problem, user journey and the parts of a modern web application.
MAANAVAN CAMPUS PROGRAMS / SOFTWARE + AI
An AI-Assisted Full-Stack Developer program for colleges. Students learn how a web app works, build its interface and backend, use AI coding tools carefully, and present what they made.
Demo-ready outputA working flow, visible checks and a student explanation.
THE LEARNING GAP
A screen is only one part of an application. A developer also has to understand the data, API, validation, errors and the decision behind each feature.
This program makes those connections visible through one small project. AI can help students move faster, while students remain responsible for checking and explaining the result.
SAMPLE FIVE-DAY CORE
This is a proposed delivery model. We refine the stack, schedule and project for each department and student baseline.
Map a learner problem, user journey and the parts of a modern web application.
Create responsive pages and forms with React, then inspect usability on a phone.
Trace requests, responses and validation through an API. Add a database for useful records.
Use coding assistants to explain, scaffold and debug. Review generated code, privacy and errors.
Test key journeys, deploy a reviewable project and explain design decisions and limitations.
Add placement-oriented technical practice: explain the project, review common programming and database questions, and rehearse an interview conversation. This is scoped separately with the college.
WHAT THE COLLEGE CAN REVIEW
Each batch should end with evidence that faculty can inspect and students can use in a portfolio. We agree assessment rubrics and reporting before delivery.
BUILT FOR REAL CAMPUS CONDITIONS
Confirm student level, batch size, devices, connectivity, timetable and faculty involvement.
Choose onsite, live virtual or blended sessions and settle the project stack and support model.
Agree entry and exit checks, project rubric, attendance reporting and demo review.
FOR COLLEGES & INSTITUTIONS
Share your department, student year, approximate batch size and preferred dates. We’ll respond with a tailored scope and proposal.