AI Skills Lab

Course synopsis

Confidence with AI doesn't start with the cleverest tool — it starts with knowing what to ask, what to check and what to keep private. AI Online Lab Foundations is a practical introduction for professionals who are new to AI or using it occasionally. Across three live online sessions, participants learn how generative AI works in plain language, where it helps and where it falls short, and how to use it responsibly with company information. They then build prompting skills step by step and apply AI to everyday tasks such as drafting, summarising, planning and research. Every session is hands-on in approved tools, with time between sessions to try AI on real work and bring questions back to the group.

3 live sessions · 2.5 hours each

Included in every course

• Interactive, facilitator-led learning
• Group discussions
• Breakout exercises
• Take-away materials

Course synopsis

Once the basics are in place, the real value of AI comes from how well you design the work around it. AI Online Lab Advanced is for professionals who already use AI regularly and want to go further. Across three live online sessions, participants master advanced prompting techniques, use AI to analyse information and support better decisions, and design repeatable workflows and custom assistants for the tasks their team does again and again. The focus throughout is on quality and judgement: structuring complex requests, testing outputs, recognising bias and gaps, and building approaches colleagues can trust and reuse.

3 live sessions · 2.5 hours each

Included in every course

• Interactive, facilitator-led learning
• Group discussions
• Breakout exercises
• Take-away materials

Course synopsis

A useful AI response starts with a clear brief and ends with your judgement. Useful AI work begins with a clear brief and ends with human judgement. This half-day workshop helps professionals structure prompts around the task, relevant context, audience, output format and constraints, then refine the response through purposeful follow-up questions. Delegates explore practical examples such as summarising information, drafting business updates and organising ideas, comparing outputs to see which instructions improve usefulness. We make room for the limits of prompting: even a well-written prompt can produce inaccurate or biased content, so checking evidence remains essential. Using approved tools and public or anonymised information, people develop reusable prompts suited to their roles and a clear approach to reviewing what comes back.

Key focus areas

• What makes a good prompt
• Context, role, format and constraints
• Iterating and refining output
• Checking accuracy and bias
• Using AI safely with company data
• Building a reusable prompt library

Included in every course

• Interactive, facilitator-led learning
• Group discussions
• Breakout exercises
• Take-away materials

Course synopsis

An AI licence creates potential; a well-chosen workflow turns it into something useful. A workplace AI licence becomes useful when people can connect it to a task worth improving. This half-day workshop explores Copilot and workplace AI tools through familiar workflows: email, documents, presentations, meeting actions and spreadsheet information. We agree which tools and features are available in your organisation before delivery, so examples fit your licences, permissions and policies. Delegates practise giving clear instructions, reviewing generated content and deciding where human checks are essential. The emphasis is on choosing sensible use cases rather than automating everything, with practical workflows that people can test and evaluate in their own working week.

Key focus areas

• Copilot in email and calendars
• Drafting documents and presentations
• Meeting summaries and actions
• Exploring data in spreadsheets
• Guardrails and good practice
• Building everyday AI habits

Included in every course

• Interactive, facilitator-led learning
• Group discussions
• Breakout exercises
• Take-away materials

Course synopsis

People use AI more thoughtfully when they understand both its possibilities and its limits. AI is becoming part of everyday work, yet many teams remain unsure where to start, what to trust or how to protect sensitive information. This half-day course explains generative AI in plain English, exploring how tools such as ChatGPT, Copilot and Gemini work, where they add value and where they can get things wrong. Delegates practise writing clear prompts, checking outputs and applying responsible use principles within their organisation’s policies, including data privacy and security. They leave better equipped to assess AI-generated content, use tools with greater confidence and identify three practical applications in their own role.

Key focus areas

• What generative AI is, in plain English
• What AI is good at — and where it gets things wrong
• Writing your first effective prompts
• Data privacy, security and responsible use
• Spotting AI errors and checking outputs
• Finding the first use cases in your role

Included in every course

• Interactive, facilitator-led learning
• Group discussions
• Breakout exercises
• Take-away materials

Course synopsis

Saving time matters most when the work remains accurate, useful and worth doing. For professionals, managers and teams with demanding admin or reporting workloads, access to AI tools does not automatically translate into more productive working habits. This hands-on half-day course develops confident use of advanced prompting techniques across everyday tasks, including summarising documents, emails and meetings, researching, planning, analysing data and spreadsheets, and drafting content. Delegates apply the techniques to their own work, building two repeatable workflows for their role and learning how to check and improve AI outputs before using them. The focus is on practical, measurable time savings that help delegates make better use of their existing AI tools and create more capacity for higher-value work.

Key focus areas

• Prompting techniques that get better answers
• Summarising documents, emails and meetings
• Research and planning with AI
• Analysing data and spreadsheets
• Building repeatable AI workflows
• Measuring the time you save

Included in every course

• Interactive, facilitator-led learning
• Group discussions
• Breakout exercises
• Take-away materials

Course synopsis

AI can accelerate a draft; you still own the message your audience receives. AI can draft in seconds, but effective business communication still depends on sound judgement, appropriate tone and a recognisably human voice. This half-day course helps anyone writing for colleagues or clients use AI to plan, draft, edit and polish emails, reports, proposals and presentations with greater clarity and efficiency. Delegates learn to adapt messages for different audiences, preserve their own voice and brand style, and apply essential checks for accuracy, confidentiality and factual reliability. They build a personal prompt library to support faster drafting and more consistent, audience-focused communication, without handing responsibility for the final message to AI.

Key focus areas

• Planning messages with AI
• Drafting emails, reports and proposals
• Editing for tone, clarity and audience
• Keeping your own voice and brand style
• Building presentations with AI support
• Accuracy, confidentiality and fact-checking

Included in every course

• Interactive, facilitator-led learning
• Group discussions
• Breakout exercises
• Take-away materials

Course synopsis

Confident AI use comes from knowing the boundaries as well as the possibilities. As AI tools spread through everyday work, the risks travel with them: sensitive information shared without thought, polished but inaccurate output passed on unchecked, and uncertainty about who is responsible when AI-assisted work goes wrong. This half-day course gives professionals, managers and teams a practical grounding in responsible AI use. Delegates explore data protection and confidentiality, accuracy and hallucination, bias and fairness, and the importance of human accountability — then turn those principles into everyday guardrails they can apply immediately. Working through realistic scenarios, they practise deciding when AI is appropriate, what checks an output needs and how to raise concerns. The aim is not to slow adoption down: it is to help people use AI with confidence because the boundaries are clear.

Key focus areas

• What responsible AI use means in practice
• Data protection, confidentiality and what never to share
• Accuracy, hallucination and checking AI output
• Bias and fairness in AI-generated content
• Human accountability and sign-off for AI-assisted work
• Everyday guardrails: checklists, policies and raising concerns

Included in every course

• Interactive, facilitator-led learning
• Group discussions
• Breakout exercises
• Take-away materials