Executive Education Program

Career Empowerment with AI Readiness & Education (CARE)

Course Description

The CARE Program is designed to equip learners from all backgrounds with the essential knowledge and skills to thrive in an AI-driven world of work. Focused on both foundational understanding and hands-on practice, the program helps participants build confidence in applying different AI tools across diverse professional and academic contexts. Through carefully structured modules, learners will explore AI fundamentals, decision-making support, data analysis, research applications, and innovation management. Special emphasis is placed on using Generative AI responsibly in marketing, communication, and career advancement. The program also integrates critical perspectives on ethics, risks, and public policy, preparing participants to navigate the evolving regulatory and workplace landscape. With interactive labs, real- world case studies, and capstone projects, participants will not only learn to use AI but also to evaluate, adapt, and innovate with it. CARE is for everyone: students, professionals, entrepreneurs, and lifelong learners who seek to future-proof their careers, unlock global opportunities, and contribute meaningfully in an AI- powered society.

Modules

Module 1: Introduction to AI

  • Background and Overview
  • Evolution of AI
  • ML, DL, Gen AI, Agents
  • Understanding Your Industry Problems

Module 2: Gen AI in Decision-Making

  • Understanding Pros and Cons
  • Tools and Prompting
  • Case Building
  • Group Activity/Invited Speaker

Module 3: Gen AI in Marketing

  • Presentations, Marketing Copy
  • Using GenAI for Social Media
  • Audio and Video Generation Tools
  • Group Activity/Invited Speaker

Module 4: AI in Research

  • Literature Review, Idea Generation
  • Research Design, Data Collection, Analysis
  • Writing, Reviewing, Publishing
  • Group Activity/Invited Speaker

Module 5: Gen AI for Data Analysis

  • Basics of Data Analysis
  • Using GenAI with/without knowledge of R/Python
  • Advanced Data Analysis
  • Group Activity/Invited Speaker

Module 6: AI for Innovation Management

  • Help in Innovation and Innovation Management
  • AI and humans in innovation teams
  • Review of AI Products
  • Group activity/Outside Speaker

Module 7: Risks/Ethics of AI

  • Risk to Jobs, Society, Bad Actors
  • Regulatory Approaches, Ethical Implications, Dilemmas
  • Case Studies
  • Group Activity/Invited Speaker

Module 8: AI and Public Policy

  • AI and India/China/US/UK/UAE, etc.
  • AI and EU, G7, OECD, LAC, etc.
  • Private Initiatives (GPAI, Forum, Partnerships)
  • Group Activity/Invited Speaker