2 Weeks
6 Online Lessons
Certificate of Completion
BCA 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 industries.
Through the Work-Integrated Learning Model, students gain hands-on exposure to real-world projects, industry tools, and collaborative innovation environments. The curriculum blends machine learning, neural networks, prompt engineering, and AI ethics with strategic technology management, digital transformation, and innovation leadership. Graduates emerge not only as skilled AI developers but also as forward-thinking technology managers who understand how to harness Generative AI to drive business growth, optimize operations, and lead digital-first organizations.

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
- Work Integrated learning begins
- Multi-Modal AI (Images, Text, Speech Generation)
- Advanced Prompt Chaining
- Automation Flows with LLM Agents
- 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
- Product Launch Capstone
- AI Deployment and Monitoring Pipelines
- Internship with AI Startup / Innovation Lab
- Final Showcase and Portfolio Review
Course Highlights

Real projects on Generative AI
Work on hands-on projects focused on AI-generated content, automation tools, and real-world business applications.

Execute Automation workflows.
Streamline repetitive tasks, reduce manual errors, and enhance productivity through seamless, intelligent workflow automation processes.

Learn to manage AI tech projects
Get industry exposure through internships with leading AI startups and innovation labs, enhancing practical learning and employability.
Career Pathways
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

Frequently Asked Questions
How does Generative AI & Technology Management differ from other AI-focused programmes?
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.
What kind of practical exposure will students gain in Generative AI?
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.
How does the “Technology Management” component add value to the curriculum?
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.
What kind of career opportunities does this specialisation open up?
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.
