Use cases for Generative AI
1 Introduction

This course explores use cases for GenAI – depending on your time commitments, you may choose to study the course in separate parts, as shown below.
Course sessions
The sessions are:
Session 1: Introduces general use cases for GenAI – 90 minutes (Sections 1, 2, 3 and 4).
Session 2: Focuses on how AI solutions are being applied within the advice and legal sectors – 90 minutes (Sections 5, 6, 7 and 8).
You can work through both sections in order or, depending on your role and interests, you might prefer to focus on just one.
This is a self-paced course of around 150–180 minutes including a short quiz.
A digital badge and a course certificate are awarded upon completion. To receive these, you must complete all sections of the course and pass the course quiz.
An introduction to the course
Listen to this audio clip in which Francine Ryan provides an introduction to the course.

Transcript
You can make notes in the box below.
Discussion
LLMs present opportunities to enhance productivity and streamline repetitive tasks, as well as freeing up capacity and allowing teams to focus on higher-value work. But they can also produce errors, their outputs require human oversight, and these tools could lead to de-skilling within organisations. As such, AI's integration must be approached thoughtfully and strategically.
Learning outcomes
After completing this course, you will be able to:
Identify common use cases for GenAI and reflect on how these applications might be relevant to your own work or organisation.
Evaluate how AI technologies are being implemented within the advice and legal sectors.
Understand and apply a strategic framework for the adoption of AI tools.
Understand the ADKAR model of change management and how to apply it in your organisation.
