AI Fundamentals for Business Professionals

Understand core GenAI concepts without needing a technical background.

Pillar

People – Mindset, Leadership & Change

Overview

This course introduces business professionals to the foundational concepts of Generative AI, demystifying the technology and explaining its practical applications. It’s designed to equip non-technical staff with the knowledge to effectively collaborate on AI initiatives.

Learning Objectives

Participants will be able to:

• Grasp basic Generative AI principles and terminology

• Recognize key GenAI use cases in business

• Understand AI’s impact on workflows and decision-making

• Identify opportunities for AI integration in their roles

• Communicate effectively with technical teams on AI projects

Target Audience

• Business managers and professionals

• Project managers and product owners

• HR, marketing, sales, and operations teams

• Non-technical stakeholders involved in AI projects

Duration

20 hours over 4 days (5 hours per day)

Delivery Format

• Interactive lectures with real-world examples

• Group discussions and Q&A sessions

• Case study reviews and practical exercises

Materials Provided

• AI fundamentals handbook

• Glossary of AI terms

• Use case compendium

• Workshop workbook

• Certificate of completion

Outcomes

• Build foundational AI literacy

• Identify AI opportunities in business contexts

• Improve cross-functional AI collaboration

• Confidently engage in AI-related discussions

Outline / Content

Day 1: Introduction to Generative AI

• What is Generative AI?

• How GenAI works: basics and key concepts

• Overview of common GenAI tools and platforms

Day 2: Business Applications of GenAI

• Use cases across industries and functions

• AI’s impact on productivity and innovation

• Identifying AI opportunities in your role

Day 3: AI and Business Strategy

• AI-driven business transformation

• Aligning AI initiatives with company goals

• Collaboration between business and technical teams

Day 4: Practical AI Collaboration

• Communicating AI concepts to non-experts

• Ethical considerations in AI use

• Hands-on exercises: evaluating AI solutions