Introduction to Generative AI for Non-Tech Professionals

Learn the basics of how GenAI works and its practical use cases.

Pillar

People – Mindset, Leadership & Change

Overview

This foundational course is designed for non-technical professionals seeking to understand what Generative AI is, how it functions, and where it can be applied in real business scenarios. Participants will gain confidence in engaging with AI conversations and identifying areas for practical application in their roles.

Learning Objectives

Participants will be able to:

• Understand how Generative AI works in simple, non-technical terms

• Identify key types of GenAI tools and use cases

• Recognize the opportunities and limitations of GenAI

• Begin exploring AI applications relevant to their own functions

• Build comfort engaging with AI-driven tools in their daily work

Target Audience

• Business professionals without a technical background

• HR, marketing, finance, operations, and admin teams

• Managers and team leads new to AI concepts

• Anyone curious about practical AI in the workplace

Duration

20 hours over 4 days (5 hours per day)

Delivery Format

• Interactive lectures with real-world examples

• Group discussions and role-based application exercises

• Live demonstrations of GenAI tools

Materials Provided

• Beginner-friendly GenAI playbook

• Use case library across business functions

• Workshop workbook

• Certificate of completion

Outcomes

• Build AI literacy across non-technical teams

• Foster confidence in AI engagement and experimentation

• Identify low-risk GenAI use cases in your business area

• Contribute meaningfully to AI-related initiatives

Outline / Content

Day 1: What is Generative AI?

• AI vs. Generative AI explained

• Overview of large language models (LLMs)

• Popular GenAI tools (ChatGPT, Claude, Gemini, etc.)

Day 2: GenAI in Everyday Work

• Common business use cases (content, summarization, support)

• Hands-on demo: Writing, brainstorming, and research

• Ethical basics and data awareness

Day 3: Exploring Opportunities in Your Role

• Mapping GenAI to business functions

• Identifying relevant tools for your department

• Workshop: brainstorming personal AI use cases

Day 4: Getting Started with Confidence

• Best practices for using GenAI responsibly

• Experimenting safely with prompts and tools

• Building an AI learning path