School of FutureBCA in Full Stack AI Development
Programme Overview
The Bachelor of Computer Applications (BCA) with Full‑Stack AI Development combines a broad foundation in computer science with specialised training in modern web development, cloud platforms and artificial‑intelligence techniques. This type of programme typically spans three years and blends theory with practical work experience. The curriculum covers front‑end and back‑end development, cloud computing, DevOps and .
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Program code
0000
Duration
03 Years
Study Campus
JAIN University, Kochi Campus
Curriculum Structure
Computer Fundamentals & Digital Logic
Programming in C and Problem Solving
Mathematical Foundations for Computing
Introduction to AI & Automation
Data Structures & Algorithms
Version Control and Git Basics
Object-Oriented Programming with Python & Java
Web Technologies (HTML, CSS, JS) & API Design
Database Management (MySQL / MongoDB)
Algorithmic Thinking & Data Patterns
Modern Cloud Practices (AWS, Docker, CI/CD)
Model Context Protocol (MCP) & AI Integration
Front-End Frameworks (React / Vue)
UI State Management & Component Architecture
API Development with Express & Node.js
Real-Time Systems using WebSockets
Cloud Deployment
Continuous Integration & Testing Pipelines
AI Service Integration
Agile Team Practices
Scrum Implementation
Building Microservices & Serverless Apps
Applied AI APIs & Automation Workflows
DevOps Monitoring & Security Ops
Project
Capstone – End-to-End AI Application
Portfolio & Deployment Showcase
Product Demo Presentation and Evaluation
Course Highlights
1. 3 Industry Projects + AI-Driven Capstone
Work on real-world projects and an AI-driven capstone to apply skills, solve practical challenges, and build industry-ready experience.
2. Live Mentorship from Software Professionals
Learn directly from experienced mentors who guide you through projects, industry tools, and career-focused insights.
3. GitHub-Based Portfolio & Deployment Training
Build a professional GitHub portfolio and learn deployment practices to showcase your AI expertise to employers.
Career Outcomes
Graduates of the Full Stack AI Development specialization evolve into versatile professionals capable of building intelligent digital products from end to end. With expertise in software engineering, cloud deployment, and applied AI, they are prepared to work across the entire technology spectrum—from developing modern web applications to integrating advanced machine learning features. Their strong understanding of DevOps, automation, and scalable architecture enables them to contribute to product innovation in industries like fintech, edtech, healthcare, and enterprise SaaS, where AI-driven systems are redefining how businesses operate. This program equips students to grow into future-ready engineers, product builders, and technology leaders in a rapidly transforming digital economy.
Cloud Engineer
Full Stack Developer
AI Product Engineer
Software Architect
FAQs
The work-integrated structure allows students to apply academic knowledge directly within professional environments. Through live projects, internships, and industry mentoring, learners gain hands-on experience in building AI-driven applications, managing cloud deployments, and integrating full-stack solutions. This model bridges classroom learning with real-world challenges, ensuring graduates are job-ready from day one.
Unlike conventional software programmes, this course blends web technologies with AI and cloud intelligence. Students learn to build intelligent systems that can analyse data, automate tasks, and improve user experiences — integrating AI models into full-stack solutions. It goes beyond coding to teach how machine learning and cloud computing shape modern digital products.
Students collaborate with technology firms and startups through internships, hackathons, and real client projects. These experiences expose them to agile workflows, version control systems, and AI-driven product development cycles. Regular workshops led by industry experts, along with cloud certifications (such as AWS or Azure), further strengthen practical competencies.
Graduates gain a dual advantage — expertise in full-stack frameworks (React, Node.js, Python, etc.) and proficiency in AI integration, data processing, and cloud orchestration. This multidisciplinary approach equips them for roles like AI Developer, Full-Stack Engineer, Cloud Application Developer, and AI Solutions Architect — aligning with global tech demands and future-ready skill sets.
