Irish business owners searching for AI help hit a wall of options: university diplomas, Skillnet programmes, online certificates, YouTube, and consultants offering workshops. They're not competing products. They solve different problems, and buying the wrong one is why so many businesses feel no different six months later.
The core difference
A course educates an individual over time and usually ends in a qualification. Training changes how a team works, quickly, using the team's own tools. One is about credentials and depth. The other is about throughput next week.
Choose a course if…
- Someone wants a recognised qualification on their CV.
- You need genuine technical depth — data science, model building, engineering.
- You're hiring into an AI-specific role and want a formal baseline.
- The learner has weeks of evenings available and enjoys structured study.
Choose training if…
- Several staff need to change how they work, not one person.
- You want results measured in weeks, not semesters.
- Your team already uses AI unofficially and nobody has set rules.
- You're paying for tools — Copilot, ChatGPT, an AI feature in your CRM — that nobody really uses.
- The examples need to be your documents, your clients, your sector.
What about self-teaching?
It's free and it works — for the one person in the business who genuinely enjoys it. The problem is distribution. That person becomes the bottleneck, quality varies wildly across the team, and nobody has agreed what's safe to paste into a chatbot. Self-teaching plus a written internal standard is fine. Self-teaching with no standard is how client data ends up somewhere it shouldn't.
The comparison, plainly
- College or Springboard course: weeks to months, one learner, certificate, generic material, strong depth.
- Skillnet network programme: sector-led, often part-funded, catalogue content, good value if your network runs the right course.
- Team workshop: half a day to a day, whole team, your tools and documents, playbook instead of a certificate.
- Self-teaching: free, uneven, no shared standard, slow to spread across a team.
Plenty of businesses should buy both
A sensible pattern: train the whole team so daily work improves immediately, then send the one person who wants to go deeper on a formal course so you have internal depth for bigger projects. Order matters — team training first delivers the quick wins that justify the rest.
A quick way to decide
- 1.Do you want a certificate or a change in output? Certificate means course.
- 2.Is it one person or a team? A team means training.
- 3.Do you need it this quarter? That means training.
- 4.Do you need someone to build AI systems in-house? That means a course — or hiring.
If you land on training, insist on your own material in the room and something written to keep afterwards. Everything else is a nice day out.
See AI training for teams
Go