School of FutureBCA in Generative AI & Technology Management
Programme Overview
The BCA in Generative AI & Technology Management is a cutting-edge undergraduate program designed to equip students with the skills to lead in the era of intelligent automation and digital innovation. Integrating core computer science principles with advanced Generative AI technologies and business management strategies, this program prepares learners to build, deploy, and manage AI-driven solutions across indus.
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Program code
0000
Duration
03 Years
Study Campus
JAIN University, Kochi Campus
Curriculum Structure
Python Programming & Automation Basics
Foundations of Generative AI and Prompt Engineering
Computer Systems & Architecture
Mathematical Reasoning & Statistics
Communication & Design Thinking
Context Engineering
Advanced Prompt Design & LLM Workflows
API Integration and Automation Tools
Agentic Systems
Product Prototyping
Technology Stack Management & Version Control
Multi-Modal AI (Images, Text, Speech Generation)
Advanced Prompt Chaining
Automation Flows with LLM Agents
Cloud-based Deployment
Building AI Agents & Orchestration Systems
Contextual Memory & Retrieval-Augmented Generation
Human-in-the-Loop AI Testing
AI Tool Ecosystem
Product Design & Agile Workflows for AI Teams
GenAI Infrastructure & APIs at Scale
Vibe Coding for Product Personalization
Project
Product Launch Capstone
AI Deployment and Monitoring Pipelines
Internship with AI Startup / Innovation Lab
Final Showcase and Portfolio Review
Course Highlights
1. Real Projects on Generative AI Content & Automation
Work on hands-on projects focused on AI-generated content, automation tools, and real-world business applications.
2. Learn to Manage AI Tech Projects
Gain the skills to plan, execute, and lead AI-driven technology projects with strategic and technical expertise.
3. Internship with AI Startups and Innovation Labs
Get industry exposure through internships with leading AI startups and innovation labs, enhancing practical learning and employability.
Career Outcomes
The Generative AI & Technology Management specialization develops future-ready professionals who merge creativity, strategy, and technological depth to drive innovation in an AI-first world. Graduates learn to harness Generative AI tools, automation frameworks, and large language models while mastering the fundamentals of business strategy, agile management, and product leadership. This unique blend equips them for careers in product management, AI-driven project leadership, and technology innovation, where they can translate emerging technologies into real business impact. Whether shaping AI-powered products, managing cross-functional teams, or leading digital transformation initiatives, these graduates become strategic technologists who understand how to align innovation, scalability, and business value in the global technology ecosystem.
Generative AI Specialist
AI Product Manager
Technology Strategist
Innovation Consultant
FAQs
This programme goes beyond technical AI development to include strategic technology leadership and innovation management. While students learn how generative models like GPT and diffusion networks work, they also gain insights into managing AI-driven projects, ethical implementation, and business transformation through technology — blending creativity with strategy.
Students engage in hands-on projects involving content generation, automation, and AI-driven product design. They experiment with tools for image synthesis, natural language processing, and AI-assisted coding while working on real industry briefs. Through internships and collaborative labs, they experience how generative AI reshapes industries such as media, design, marketing, and education.
The management modules train students to bridge the gap between innovation and execution. Learners explore how to lead AI adoption within organizations, manage data governance, and evaluate the economic and ethical impact of AI systems. This prepares them not only as developers but as future AI strategists and decision-makers.
Graduates can pursue dynamic roles such as AI Product Manager, Generative AI Specialist, AI Innovation Consultant, or Technology Strategist. With expertise in both generative technologies and management principles, they become valuable assets to companies seeking professionals who understand both the technical creation and responsible deployment of AI systems.
