How to Choose a Corporate AI Training Provider

Corporate AI training is usually sold through a proposal rather than a public course page, which makes it harder to compare providers against each other. A proposal can look complete while leaving out details that matter once the programme is running, such as who is actually delivering it or what happens after the final session. Working through a consistent set of questions with every provider you consider tends to surface gaps before a contract is signed, rather than after.

1. What accreditation, if any, does the programme carry?

Not every corporate AI training programme needs to be accredited to be useful, but accreditation affects whether the programme can be used to support funding claims and how it is recognised outside the organisation. Ask a provider directly whether the specific programme (not just the organisation in general) is WSQ-accredited or otherwise formally recognised, and ask to see the accreditation reference rather than taking a general claim at face value.

2. How much of the curriculum is actually customised?

"Customised for your team" can mean anything from a genuinely redesigned curriculum built around your data and workflows, to a standard course with your company logo added to the slides. Ask what specifically changes between their standard programme and the version being proposed to you, and ask for examples of how the content has been adapted for organisations in a comparable industry or function. If a provider cannot describe the difference concretely, the customisation may be more limited than the proposal suggests.

3. Who is actually delivering the training?

Provider websites often feature the profiles of senior trainers or founders, but the person actually running your sessions may be someone else entirely, particularly for larger cohorts or repeat deliveries. Ask who will be assigned to your specific programme, what their background is, and whether that person is confirmed or indicative. For technical AI content, it is reasonable to ask about the trainer's practical experience with the tools and workflows being taught, not only their teaching experience.

4. Does the group size and format suit how your team learns?

A single trainer working with thirty participants across mixed technical backgrounds will necessarily move at a more general pace than a smaller, more targeted session. Ask about the maximum group size for the proposed format, how the provider handles mixed skill levels within one cohort, and whether hands-on practice time is built into the schedule or limited to a demonstration. If your team spans very different starting points, ask whether the provider offers any streaming or tiering rather than a single one-size session.

5. What support continues after the course ends?

Some providers offer follow-up support such as office hours, access to materials, or a channel for questions after the programme formally concludes; others end all contact once the final session is delivered. Ask specifically what is included, for how long, and whether it costs extra. This matters more for AI training than for many other topics, since tools and practices in this area continue to change after a course ends.

6. How does the provider handle funding and paperwork?

If you intend to apply for a funding scheme such as the SkillsFuture Enterprise Credit or a course-level subsidy, ask the provider what documentation they can supply and whether they have supported claims under that scheme before. Providers vary in how much administrative support they offer, and this is worth clarifying before signing rather than discovering gaps at claim time. Our guide to SFEC for employers explains how that scheme generally works.

Putting it together

No single answer to these questions should decide a contract on its own. In practice, most buyers find it useful to ask all six questions of every shortlisted provider and compare the answers side by side, rather than judging providers individually against a vague sense of quality. A provider that answers plainly and specifically, including on points where the answer is limited, is generally easier to hold to the proposal later than one that answers only in general marketing terms.