Course pre-requisite(s): Open for all students and faculty enthusiastic about AI.

Course Overview

The course aims to develop participants’ competencies in applying artificial intelligence to enhance personal, academic, and business productivity. Participants will gain hands-on experience in using AI across office, research, classroom, and professional business contexts.

The course covers AI fundamentals, prompt engineering, and the development of custom GPTs, alongside practical applications such as image and video generation, data analysis tools, and AI agents. Participants will explore a range of AI use cases, including AI for business and startup contexts, where AI tools are applied to support problem identification, market analysis, customer insights, and the development of minimum viable products (MVPs). This includes exposure to AI-powered prototyping tools, Retrieval-Augmented Generation (RAG) models, and AI agents to support business workflows and decision-making.

In addition, the course addresses ethical considerations, governance challenges, and responsible AI use, while offering insights into emerging AI trends. Participants will also examine the use of AI for personal branding, management strategy, and leadership, highlighting how AI can enhance strategic thinking and organizational effectiveness.

The course is highly practical and experiential, delivered through case studies, guided exercises, and in-class activities, with selected sessions focusing on applied AI for business.

Learning Outcomes

Upon successful completion of the course, the student will demonstrate the ability to

CLO 1: Explore AI fundamentals and their business relevance

CLO 2: Develop applications for business using AI

CLO 3: Evaluate ethical and governance issues in AI adoption

CLO 4: Demonstrate practical skills in using AI tools for personal and business problems

Course Content

Understand AI, Evolution, Machine Learning, Deep Learning, Big Data, Trends, Challenges of AI, Future of AI

AI Applications in Business - Marketing, Production, Finance, HR, Operations

AI for Research, AI Presentations, AI Data Analysis, AI for Developing MVPs,

Prompt Engineering, AI Tools – Content Development , AI for Strategy and Leadership

Responsible AI- Ethical, Privacy and Governance Issues

AI tools for Business Performance and Develop AI applications

AI Automation, AI Agents and RAGs

Project on Implementing AI for content development, productivity and AI Ethics

AI for Business, AI for Start-ups

 

Instructional Method

Lecturers

Demonstrations

Discussions

Teamwork

Presentations

Required Course Materials

All the participants will be required to bring their own laptop to attend the class and use AI tools. The required material will be provided.

Assessment

Project on Implementing AI for office productivity, leadership and content development, productivity and AI Ethics.