AI Literacy for Business Leaders

Equip leadership with terminology and frameworks to guide AI conversations.

Pillar

People – Mindset, Leadership & Change

Overview

This course empowers business leaders with the essential knowledge and vocabulary to confidently engage in conversations about AI and Generative AI. It demystifies core AI concepts, offers strategic frameworks, and prepares executives to drive informed, future-ready decisions in AI-enabled environments.

Learning Objectives

Participants will be able to:

• Understand foundational AI and GenAI terminology

• Interpret AI project scopes, capabilities, and risks

• Communicate effectively with technical and cross-functional teams

• Apply strategic frameworks for AI evaluation and adoption

• Align AI opportunities with organizational priorities

Target Audience

• Senior executives and department heads

• Strategy, innovation, and transformation leaders

• Non-technical founders and entrepreneurs

• Decision-makers involved in digital and AI initiatives

Duration

20 hours over 4 days (5 hours per day)

Delivery Format

• Executive briefings with real-world case studies

• Peer discussions and reflection activities

• Strategic toolkits and hands-on scenario planning

Materials Provided

• AI literacy guide for business leaders

• Strategy templates for evaluating AI opportunities

• Workshop workbook

• Certificate of completion

Outcomes

• Build foundational AI fluency for confident leadership

• Navigate AI discussions with clarity and authority

• Identify where and how AI can add value to the business

• Reduce risk by making informed AI-related decisions

Outline / Content

Day 1: AI & GenAI Fundamentals for Leaders

• Key terms: AI, ML, GenAI, LLMs, automation, APIs

• The business case for GenAI adoption

• Demystifying how GenAI works (non-technical overview)

Day 2: Strategic Frameworks for AI

• AI maturity models and readiness assessments

• Frameworks for evaluating use cases and ROI

• Ethics, privacy, and responsible leadership

Day 3: Leading with AI in the Enterprise

• Real-world GenAI use cases across industries

• Integrating AI into transformation agendas

• Cross-functional leadership in AI initiatives

Day 4: Driving Impact with AI Conversations

• Communicating AI potential to boards, teams, and partners

• Avoiding hype: Red flags and reality checks

• AI visioning for the next 6–18 months