Written by the AgileFever editorial team. Program details were checked against the live program pages in October 2026. We sell these programs. Prices are US catalog prices checked on October 29, 2026. The team, the hourly cost and the contingency are assumptions for illustration, not measured results.
Budgets for AI training usually start and end with the course fee. That is the number you can look up, so it gets planned. The hours people spend learning are larger and rarely appear on a line. This post builds one worked example with our catalog prices so you can replace the assumptions with your own.
The example team
Twenty engineers, the cohort size our corporate page caps private groups at: eight full stack developers, six DevOps engineers, four QA engineers and two solution architects. Each takes the role course that matches their work. Everyone completes the free 6-hour Python for AI course first.
The budget
| Line | Quantity | Unit | Total | Where the number comes from |
|---|---|---|---|---|
| Role course: Full Stack | 8 | $450 | $3,600 | Catalog price |
| Role course: DevOps | 6 | $450 | $2,700 | Catalog price |
| Role course: QA | 4 | $450 | $1,800 | Catalog price |
| Role course: Solution Architects | 2 | $450 | $900 | Catalog price |
| Python for AI prerequisite | 20 | $0 | $0 | Catalog price |
| OpenAI API credit (DevOps and QA) | 10 | About $10 | About $100 | Stated on those course pages. The Full Stack and Solution Architect pages do not list one |
| Total in money | About $9,100 | Before any discount | ||
| Learner time: 368 hours | 368 | $60 an hour | $22,080 | Assumption: replace with your loaded hourly cost |
| Total with time | About $31,200 |
The hours: eight full stack, six DevOps and four QA learners each spend 18 hours (6 for Python, 12 for the course), which is 324 hours. The two architects spend 22 (6 plus 16), which is 44 hours. Total 368.
US dollars, using the assumptions above
Additional discounts are available. Contact us to know more.
What changes with a different program
| Option for the same 20 people | Fees | Live and prerequisite hours | Time at $60 an hour |
|---|---|---|---|
| Role courses as above | $9,000 | 368 | $22,080 |
| GenAI and Agentic AI BootCamp for all 20 | $40,000 | 1,480 (74 each) | $88,800 |
| Gen AI BootCamp for all 20 | $32,000 | 1,440 (72 each) | $86,400 |
These are different programs for different goals. The bootcamps teach you to build AI products, and the role courses teach people to apply AI in the job they hold. Compare cost only after you have decided which outcome you want. Our post on running a pilot cohort covers how to test that before you scale.
Five steps to build your own
- List the roles and how many people are in each. Our AI skills matrix can help you decide who needs which program.
- Look up the fee, the hours and the prerequisite for each program on its page.
- Add the prerequisite hours. Many role courses require Python for AI, which is free but takes 6 hours.
- Multiply total hours by a loaded hourly cost that finance agrees with.
- Add a contingency line. We would suggest 10% for slipped sessions and re-takes, though that figure is our suggestion and not a standard.
For group pricing, the bootcamp cohort pages show a discount option for two or more participants, and our corporate team can quote private cohorts. Use the contact page for a written quote. Related reading: how to measure corporate agentic AI training ROI, pitching the budget to leadership and in-house versus public cohorts.
Questions people ask
Is $60 an hour the right rate?
It is a placeholder. Use your finance team’s loaded cost for the roles involved.
Do the role courses need any tools beyond the fee?
The DevOps and QA pages list about $10 of API credit. The Full Stack page names coding assistants and does not state their cost, so check what your team already has.
Can we split a team across programs?
Yes. Most teams do, because roles differ. The example above uses four different courses.
