Course Description

Artificial Intelligence (AI) and Generative AI are radically changing the world of work. The role of this course is to demystify the technologies involved and through practical examples and hands on demonstrations and exercises, show how AI can be applied in all sorts of situations. You will be able to separate the hype from the reality by understanding the current tooling landscape. You will be introduced to tools that you can use such as ChatGPT and Microsoft CoPilot.

Target Student

Anyone with an interest in Generative AI

Course Outline

Module 1 - Welcome and Course Overview

• Introduce the goals and structure of the course
• Outline what participants will learn and how it applies to their work

Module 2 - AI Fundamentals

• What is AI and what is Generative AI
• Understanding how AI differs from traditional software
• AI Myths and Realities - what AI can and cannot do
• Everyday examples of AI and Generative AI in use

Module 3 - Generative AI in the Workplace

• Overview of ChatGPT, Copilot and other AI chat tools
• Benefits of using Generative AI for everyday work tasks
• Examples of how employees are using AI in the workplace
• Guided exercise - using a chat tool to improve or summarise text

Module 4 - Turbocharge Your Use of Microsoft 365 with Copilot

• Overview of Microsoft 365 Copilot capabilities
• Using Copilot with Word, Excel, PowerPoint, Outlook and Teams
• Practical examples and demonstrations of time-saving features
• Tips and best practices for effective Copilot use

Module 5 - Working with Agents

• What are AI Agents and how do they differ from chat tools
• Overview of popular AI Agent tools such as Microsoft CoPilot Agent and AgentGPT
• Practical examples of how AI Agents can automate complex tasks
• Guided exercise - setting up and using a simple AI Agent

Module 6 - Prompting for Better Results

• What is a prompt and why it matters
• Prompting frameworks such as RICE-FACT, CLASS and PROMPT
• Group activity - improving poor prompts to get better results
• Tips for structuring prompts for accuracy, tone and clarity

Module 7 - How AI Understands and Responds

• Understanding how AI processes and "remembers" information
• How the context window affects responses
• Simple explanation of tokens and how they impact length and precision
• Strategies for working effectively with AI tools

Module 8 - Responsible and Ethical AI Use

• Understanding data privacy and confidentiality risks
• Recognising and mitigating bias in AI outputs
• Verifying and fact-checking AI-generated information
• Workplace Dos and Don'ts for AI use

Module 9 - The Future and the Law

• Overview of current EU and US AI regulations
• Copyright and ownership challenges in AI-generated content
• What future AI regulation might mean for businesses
• How to stay informed and compliant with evolving AI policies

Module 10 - Wrap-up and Next Steps

• Review key learnings from the day
• Discuss how to continue learning and applying AI safely
• Identify at least one workplace use case for AI