Judge an AI training programme on five things: is it hands-on with your real tasks (not just theory), is it run by someone who uses these tools daily, is it pitched for your team's level, is it current, and do people leave able to do something new immediately? Beware courses that are all slides, all hype, or teach one tool as if it's the only one.
The best test: ask what your team will be able to do the afternoon after the session. A good provider answers instantly and specifically.
AI training has become a crowded market, and quality varies wildly, from genuinely useful sessions run by practitioners to repackaged YouTube playlists with a certificate and a big invoice. Since you are spending real money and, more importantly, your team's time, here is how to tell them apart.
The five things that separate good from forgettable
What good AI training has
- Hands-on with your real work - your tasks, not generic examples
- A practitioner trainer - someone who uses these tools every day
- Pitched to your level - beginners aren't lost, experienced aren't bored
- Current - reflects how the tools work now, not a year ago
- Immediate takeaways - people can do something new that afternoon
Theory versus doing
The single biggest divider is whether people actually use the tools during the session. A course that explains AI in the abstract, its history, how neural networks work, the philosophy of it, is a lecture. Interesting, perhaps, but it will not change how your team works on Monday. The training that pays off has people in the tools, on their own tasks, making mistakes and getting help in real time. Ask any provider bluntly: how much of this session is us actually doing things? If the answer is vague, keep looking.
Who is actually teaching it
These tools change monthly, so training is only as good as how current the trainer is. Someone who uses AI daily in real work knows the quirks, the shortcuts and the pitfalls that no slide deck captures. Someone who learned it from a course last year is teaching you yesterday's version. It is a fair question to ask: do you use these tools in your own work, every day? The answer tells you a lot.
Match it to your people and your trade
A course pitched at data scientists will lose a room of solicitors, and a gentle beginners' intro will bore a team that is already dabbling. Good providers ask about your team's level before they turn up. Better ones tailor to your trade, because AI for accountants and AI for farmers are genuinely different sessions with different tasks, tools and rules. Generic "AI for business" is fine as a start, but sector-specific training tends to land harder because every example is one your team recognises.
| Green flags | Red flags |
|---|---|
| Hands-on, using your tasks | All slides, no doing |
| Trainer uses AI daily | Vague on their own experience |
| Honest about limits and risks | Pure hype, no caveats |
| Tailored to your level and trade | One-size-fits-all script |
| Clear on what you'll leave able to do | Fuzzy on outcomes |
See how we run it
Our sessions are hands-on, current, and built around your team's real work. Ask us anything before you commit.
A quick word on price
Cheapest is rarely the right lens. A slightly pricier session that changes how your team works is far better value than a bargain one they forget by Friday. Weigh the cost against the return, the hours saved once people can actually use the tools, and the calculation usually favours quality. That said, price should be transparent, so a provider who will not give you a straight figure is its own small red flag. Our pricing guide lays ours out plainly.
Choose the training that gets your hands dirty, is taught by someone who lives in these tools, and sends your team back to their desks able to do something they could not do that morning. Everything else is packaging.
Frequently asked questions
How do I compare AI training providers?
Judge them on five things: hands-on use of your real tasks, a trainer who uses the tools daily, a level that fits your team, current material, and clear immediate takeaways. Ask each provider directly how much of the session is doing versus listening.
What are the red flags in AI training?
All slides and no hands-on practice, vagueness about the trainer's own experience, pure hype with no honest caveats, a one-size-fits-all script, and fuzziness about what your team will leave able to do.
Is sector-specific AI training better?
Often, yes. Training tailored to your trade uses examples, tools and rules your team recognises, so it lands harder than generic 'AI for business'. We run dedicated sessions for several professions.
Should I choose the cheapest AI course?
Rarely. A session that genuinely changes how your team works is better value than a cheap one they forget. Weigh cost against the hours saved once people can use the tools well.
What's the best question to ask a training provider?
Ask what your team will be able to do the afternoon after the session. A good provider answers instantly and specifically; a weak one is vague.