AI in the Workplace
- Use AI more confidently and responsibly in everyday workplace situations
- Get better results from AI tools by using clearer prompts and refining responses
- Check AI outputs for accuracy and avoid common risks when using AI for work
- Apply practical skills immediately, including writing better prompts, improving workplace writing and summarising information
- Use AI for brainstorming, checking answers for accuracy and applying a simple safety check before and after use
- Use AI more confidently and responsibly in everyday workplace situations
- Get better results from AI tools by using clearer prompts and refining responses
- Check AI outputs for accuracy and avoid common risks when using AI for work
- Apply practical skills immediately, including writing better prompts, improving workplace writing and summarising information
- Use AI for brainstorming, checking answers for accuracy and applying a simple safety check before and after use
Artificial intelligence is now part of everyday work. Tools such as ChatGPT, Microsoft Copilot and Google Gemini can help with writing, summarising, brainstorming, translating, analysing information and working with images. This practical one-day course shows participants how to use these tools safely, effectively and responsibly in everyday workplace tasks.
Participants will learn what generative AI can and cannot do, how to write better prompts, how to compare and refine AI responses, and how to check results for accuracy, bias, missing information and unreliable sources. The course also covers privacy, data protection, copyright, transparency, human oversight and when AI-generated content should be reviewed by an expert.
This course is suitable for office workers, team leaders, managers, administrators, project staff, customer service staff, business professionals and anyone who wants a practical introduction to using AI tools in the workplace. No technical background is required. Participants should be comfortable using a web browser and basic office software.
In-Person Training
Participants are not required to bring their own laptops as our dedicated computer training labs are equipped with the programs and files you will need access to on your training day. For the best experience we recommend downloading the latest Google Chrome browser.
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What AI is, what generative AI can do, and what a large language model is.
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What AI is not: not human, aware, opinion-based or a guaranteed source of truth.
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Why people remain responsible for checking facts, protecting information and approving final work.
- Getting started with ChatGPT, Microsoft Copilot and Google Gemini in the browser.
- Entering simple prompts, reviewing results, and starting new chats.
- Understanding that features vary by account type, licence, subscription and workplace settings.
- Comparing common AI tools for everyday workplace use.
- Choosing a tool based on the task, account type and workplace rules.
- Knowing when to use an approved workplace tool instead of a personal or public AI tool.
- Writing clearer prompts using goal, context, source and expectations.
- Setting format, tone, length and audience to guide the output.
- Refining prompts by adding constraints, examples, roles and follow-up questions.
- Testing, challenging and improving AI responses.
- Accuracy, hallucinations and misinformation.
- Bias, fairness and over-reliance on AI. Privacy, data protection and security risks.
- Transparency, disclosure, accountability and human oversight.
- Copyright, ownership, laws, policy and workplace governance.
- Participants will learn a simple safety check before using AI, including whether content contains sensitive or protected information, whether reliable sources or human review are needed, whether a wrong answer could cause harm, and whether unnecessary details have been removed from the prompt.
- Participants will also learn what to check after using AI, including accuracy, sources, sensitive information, bias, copyright, tone and whether AI use should be disclosed.
- Using custom instructions and preferences to shape responses.
- Understanding memory, chat history, temporary chat and retention.
