When a team lead asks L&D to “get the team trained on AI,” the first real decision isn’t which course. It’s whether to send people to a public cohort alongside learners from other companies, or run a private program for your team alone. The two cost differently, run differently, and suit different goals. Compare the two against the work your team needs to do after training.
The short version
| Public cohort | In-house program | |
|---|---|---|
| Best for | 1 to 4 people, or roles spread across teams | A team of similar roles who need to change how they work together |
| Curriculum | Fixed, same for everyone | Adapted to your stack, tools, and use cases |
| Projects | Generic business scenarios | Can be built around your own workflows |
| Confidentiality | You can’t discuss internal systems freely | You can work on real internal problems |
| Schedule | Set dates; people join what’s on the calendar | Scheduled around your sprints and releases |
| Pricing | Per seat, at list price | Quoted per engagement |
| Networking | Learners from other companies, useful for perspective | Only your own colleagues |
When a public cohort is the right call
- You’re training one to a few people, so a private program would cost more than it’s worth.
- The people need the same skill but sit in different teams with different schedules.
- You want to try a program before committing a whole team to it.
- Exposure to how other companies approach the same problems is part of the value.
When in-house makes more sense
- You’re training a whole team in the same role, and the goal is a shared way of working, not just individual skills.
- The training is only useful if it uses your tools, data, or codebase.
- Your work is confidential enough that people can’t bring real examples to a public session.
- You need sessions to fit around a release calendar that public cohort dates would clash with.
How the cost adds up
Public cohort pricing is simple to estimate: multiply the seat price by headcount. Using the current US price of the GenAI and Agentic AI BootCamp as an example:
GenAI and Agentic AI BootCamp at $1,600 per seat (current US price)
Source: AgileFever bootcamp pricing, October 2026. Excludes any group or corporate discount.
In-house programs are quoted per engagement rather than per seat, because the cost depends on how much the curriculum is adapted and how many sessions you need. The useful comparison is your headcount times the public seat price against the in-house quote. As team size grows, the per-seat total climbs in a straight line, while an in-house program’s cost is mostly fixed, so larger teams usually reach a point where in-house is cheaper and more relevant at the same time.
A hybrid that often works best
Many teams don’t need to choose. A common pattern is to send one or two people to a public cohort first. They learn the material, bring back what’s relevant, and help shape a private program for the rest of the team. You avoid committing the whole budget before you know what fits, and the eventual in-house program is built around problems your people have already identified.
What to ask any training provider
- How much of the curriculum can you adapt for us, and what stays fixed?
- Can projects use our own workflows or anonymized data?
- How do you measure whether the training changed how people work, not just whether they attended?
- What happens after the sessions end: recordings, follow-up, support?
- Can we speak to another company that ran an in-house program with you?
AgileFever runs corporate programs in several formats, including live virtual, private group training, classroom workshops, self-paced learning, and expert-guided mentoring. Engagements follow four stages: assess your team’s current skills and goals, upskill through live training, analyze progress and project outcomes, then scale what worked across other teams. Details are on the corporate training page.
Why this decision matters more now
The World Economic Forum’s Future of Jobs Report 2025 estimates that 39% of workers’ core skills will change by 2030, and that 59 out of every 100 workers will need training by then. These are global employer projections, not a forecast for your team. Use a skills assessment to decide who needs training and which format fits their work.
Out of 100 workers, based on employer expectations:
Source: World Economic Forum, Future of Jobs Report 2025. These are projections, not measured training outcomes.
FAQ
What’s the minimum team size for in-house training?
It depends on the provider and the program. Ask for a quote at your actual headcount and compare it with public seats at the same number.
Can an in-house program include certification?
Usually, if the public version includes it. Confirm before signing, because some providers only issue credentials through public cohorts.
How do we measure whether it worked?
Set one or two measures before training starts, such as time to complete a specific task or the number of internal workflows automated, and check them a few months after.
What to read next
If you’re deciding which program fits your team before choosing a format, start with GenAI and Agentic AI BootCamp: The Complete Guide. For budget planning, GenAI and Agentic AI BootCamp Cost & Fees breaks down per-hour cost across programs.