Practical training on the AI tools a business already has access to, worked through against its own tasks rather than generic examples. Run on site, for everyone at once.
Ask about a sessionNot a course, and not a fixed syllabus. A session is scoped in a short conversation beforehand so the examples come from the business's own work, then run on site for the whole team at once rather than sending one person away to a webinar.
The mix is set by what the team actually does. Most sessions draw on all four.
Examples of the kind of work a session gets built around. The tools are the same; the tasks are not.
Ten years building and running AI and machine-learning systems, a Masters in Computer Science, and delivery experience across ecommerce, industrial equipment and professional services. That is the reason a session can answer what a tool is doing underneath, rather than only how to click it.
Accounting, bookkeeping, legal and other practices carry a confidentiality obligation that changes which tasks are safe and what has to be written down. That material is covered separately on training for finance and professional practices.
What the team does, which tools it already has, and what takes longer than it should. A short conversation is enough to work out whether a session is worth running.