Practical AI Training UK
Choose this route for tool selection, shared prompting, quality checking, confidentiality and team-wide working methods.
Private workshops built around your team, your documents and the work you want to improve. Learn a repeatable method for prompting, quality checking, confidentiality and useful adoption.
Hands-on exercises with real business applications
From complete beginners to power users
Online or in-person across the UK
Prompt library and ongoing support included
Corporate workshop planner
Select who will attend. Use the suggested exercises to start a useful training conversation.
Your choices stay in this page. No sign-up required.
Marketing: turn an approved brief into a draft and check claims, audience and tone.
Shared assessment: can each person explain their inputs, produce a useful draft, catch a planted error and name the reviewer?
Explore this route →A syllabus starting point, not a quote or confirmed timetable. Bring approved examples, account access and one repeatable task per role.
Choose the route by the team’s real need
This UK hub is for teams that need transferable working methods across approved AI tools. If the organisation has already standardised on one platform, use the focused route instead.
Choose this route for tool selection, shared prompting, quality checking, confidentiality and team-wide working methods.
Projects, files, data, custom GPT workflows, workspace controls and review gates.
Review this course Anthropic routeProjects, long documents, evidence tables, comparison, synthesis and quality review.
Review this courseCompare tools against the task, data boundary, collaboration need and review burden.
Covered in the UK workshopLearn independently or practise together
Use the Useful AI at Work starter guide on your own, choose the planned full blueprint for self-serve depth, or bring the workflow into a private team session.
Free
An 11-page PDF with the four-stage loop, role examples, workflow canvas and seven-day plan.
Get the guide£39 planned launch price
The complete e-book, workbook, templates, deeper role paths and worked examples for independent learners.
Join the launch list in a new tabFrom £475 + VAT
Use the method with your roles, approved tools, documents, data boundaries and review decisions.
Compare workshop optionsThe programme moves from a realistic understanding of AI into work-specific practice, review and responsible use.
Understand where ChatGPT, Claude and other approved tools can help, where they are unreliable and when a person should retain the work.
Build prompts from a clear task, trusted source material, constraints, output format and an explicit quality standard.
Practise extracting evidence, comparing material, finding gaps and turning approved sources into a structured briefing.
Develop reports, proposals, content and internal communication while preserving the brief, evidence and human judgement.
Use source checks, review criteria and human sign-off to catch unsupported claims, omissions and unsuitable output.
Agree what can be shared, when to redact, who owns the result and how useful prompts become reviewed team resources.
Choose a proportionate starting point. All prices exclude VAT.
Half Day (4 hours)
1-10 attendees
A practical introduction shaped around the team's roles, approved tools and real examples of day-to-day work.
Full Day (6 hours)
1-10 attendees
A full working day for teams that need reusable methods for research, documents, analysis, content and reporting.
2 Days
Scoped for your team
A tailored two-day starting point for organisations that need governance, role-specific practice and an implementation plan.
Jon Goodey’s background spans software development, statistical analysis and marketing intelligence. He has worked with large language models since 2022 across research, content, reporting, applications and operational delivery.
On the UK programme, Jon helps the team compare tools against the work rather than treating one model as the answer to every task. The session is grounded in participant roles, approved information and real review decisions.
Indexify publishes client claims only when the client has approved them and the evidence supports the result.
Read Jon’s full profileNo technical background is needed. The training is designed for business professionals, marketers and other non-technical users, with the emphasis on practical application rather than coding.
We can cover ChatGPT, Claude, Gemini, Perplexity and other approved tools relevant to the team. The exact products are agreed during preparation because features, plans and organisational controls change.
Yes. We tailor the training to your sector, roles, use cases and current business challenges. The preparation stage makes sure the exercises are relevant to the people in the room.
Prompt engineering is the skill of giving AI clear instructions, relevant context, constraints and an output standard. It helps turn a generic response into work that is easier to review and use.
We cover confidentiality, copyright considerations, source checking and quality assurance. Participants learn to classify the information first, use AI as an assistive tool and retain an appropriate human review and approval step.
Yes. Private online training uses screen sharing and interactive exercises. In-person training is available in London and across the UK, subject to dates, travel and a suitable room.
A four-hour AI Essentials workshop starts at £475 plus VAT for up to 10 people. A six-hour Practical AI Team Day starts at £975 plus VAT. A tailored two-day Team Adoption Programme starts at £1,795 plus VAT. Travel, venue hire, specialist preparation and larger cohorts are agreed before booking.
Jon Goodey, founder of Indexify, works directly with the team. His background spans software development, statistical analysis and marketing intelligence, with practical large language model work since 2022.
Training is available online and in person across the UK.
Tell us about the team, the work you want to improve and any governance concerns. For a focused route, explore our ChatGPT training, Claude training or AI governance workshops, or the wider AI adoption programme.
Start a practical conversation