AI course or tailored team training: which does your team need?
An AI course and a tailored team training solve different problems. One builds individual skills; the other changes how a team works. Here is how to tell which one you actually need, and when each is worth it.
Omri Dan · Nomadan founder
"We should get some AI training" usually means one of two very different things. One is an AI course: structured lessons that build individual skills. The other is tailored team training: hands-on work that changes how a whole team operates. Picking the wrong one wastes money and leaves you thinking AI training "doesn't work." Here is how to choose.
What an AI course is good for
A course teaches a subject to whoever shows up. Watch the lessons, do the exercises, come out knowing more about prompting, tools, or a specific model. Courses are:
- Cheap per person and easy to start.
- Great for foundations and for curious individuals building general skill.
- Self-paced, so motivated people go far and everyone else drifts.
The limit is built in: a course is made once and sold to everyone, so it can never be about your processes. The translation from "I learned prompting" to "our weekly report is now automated" is left entirely to you.
What tailored team training is good for
Tailored training starts from your work, not a syllabus. Instead of teaching AI in the abstract, it sets up the tools on your real processes and builds the workflows with the team, live. It is:
- Priced for a team, not per seat.
- Built on your tools and data, so every session produces something you keep.
- Shared, so the whole team comes out with the same way of working, not five different habits.
The limit here is that it needs a real team and real processes to work on. It is not the right fit for a single person exploring AI for the first time.
How to choose
Ask one question: do you want people who know more, or a team that works differently?
- If a few individuals need foundational skills and you have no shared process to change yet, start with an AI course.
- If you have a team of 2 to 5 doing repeatable work, already paying for AI tools, and getting little back, you need tailored team training. A course will not close that gap; only working on your actual processes will.
The third option most people skip
There is an answer neither question covers: do not train anyone, and build the thing instead.
Training assumes the work should keep being done by a person, faster. For a lot of recurring work that assumption is wrong. If the same report gets compiled every Friday from the same four places, nobody needs to get better at compiling it. It needs to compile itself, and then no one has to remember the workflow, stay trained, or still be at the company next year.
The honest test is whether the work needs judgment. Reading a contract and deciding what to concede needs a person who is better at using AI. Chasing six clients for missing documents does not need a person at all. Most teams have more of the second kind than they expect, and it is worth separating the two before buying training for both.
So the full choice is three ways, not two: a course when individuals need foundations, tailored training when a team needs a shared way of working on judgment-heavy tasks, and automation when the work is repeatable enough that training a human to do it is solving the wrong problem.