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Generative AI Tools and Applications

Generative AI (GenAI) is a form of AI which produces new content, such as images, text or music. It is this capability, particularly the ability to generate language, which has captured the public imagination and creates potential applications within government.

Some information about the learning material found on this page:

  • the learning material on this page is suitable for all users
  • there is no need to complete all learning material; choose what is relevant to you
  • all learning material is free, but may require the creation of a free account to access
  • some learning material contains practical exercises requiring a licence; exercises can be skipped if necessary

Learning Outcomes

Based on the learning material you choose, you will be able to:

  • list the different GenAI tools available
  • describe how they can be used
  • identify how GenAI might support your work

Learning Material

Introduction to Generative AI – Google

Coursera eLearning introducing GenAI, model types, how it works and common applications.


Microsoft Copilot for Productivity

LinkedIn Learning video content exploring AI-powered tools to streamline workflows, create/refine documents and presentations, master prompt writing, and increase collaboration.


Draft, analyze, and present with Microsoft 365 Copilot

Microsoft eLearning exploring prompt flows (PowerPoint, Word, Excel, Teams, Outlook) and Copilot Chat.


How to use Gemini: A detailed beginner’s guide

Zapier.com article exploring the use of Gemini, its capabilities and limitations.


Microsoft Azure AI Fundamentals: Generative AI

Microsoft written course exploring the use of Azure OpenAI to access GenAI technology.


Amazon Q Introduction

Amazon Web Service (AWS) eLearning introducing Amazon Q, an AI-powered assistant. Discover its use cases and benefits.


Amazon Q Developer Getting Started

AWS eLearning exploring Amazon Q Developer, an AI assistant for the software development lifecycle. Learn its benefits, features, use cases, concepts, and cost.