Written by the AgileFever editorial team. Program details were checked against the live program pages in October 2026. We provide corporate AI training. The example is illustrative, uses our public US prices and listed hours, and the approach works with any provider.
A common mistake in team AI training is buying one program for everyone. Engineers who will build agents need depth. Testers need a different skill set from product owners. A sponsoring executive needs a few days, not eight weeks. A skills matrix fixes this by matching each role to the smallest program that changes their work.
Step 1: match roles to programs
| Role | What they must be able to do | Program | Hours | Price (US) |
|---|---|---|---|---|
| Sponsoring leader | Judge AI proposals and set risk appetite | AI Transformation for Business Leaders | 16 | $1,000 |
| Architect | Defend platform, cost and security choices | GenAI & Agentic AI for Solution Architects | 16 | $450 |
| Engineer building AI features | Build and deploy agents and RAG systems | GenAI and Agentic AI BootCamp | 74 | $2,000 |
| Platform or MLOps engineer | Run and monitor models and LLM apps | MLOps, LLMOps and Agentic AI Ops BootCamp | 60 | $2,000 |
| Full stack developer | Review and test AI-written code | GenAI & Agentic AI for Full Stack Developers | 12 | $450 |
| QA or test engineer | Test AI features and generate tests | GenAI & Agentic AI for QA and Test Engineers | 12 | $450 |
| DevOps engineer | Automate infrastructure and incident work safely | GenAI & Agentic AI for DevOps Engineers | 12 | $450 |
| Product owner | Scope AI features and design evaluations | GenAI & Agentic AI for Product Owners and Product Managers | 12 | $450 |
| Project or program manager | Plan and report AI work | GenAI & Agentic AI for Project & Program Management | 12 | $450 |
Step 2: price a real team
The table below uses an invented team of 24 people. Replace the headcounts with your own.
| Group | People | Program | Total fee | Total hours |
|---|---|---|---|---|
| Sponsoring leader | 1 | Business Leaders | $1,000 | 16 |
| Architects | 2 | Solution Architects | $900 | 32 |
| Engineers building AI features | 4 | GenAI and Agentic AI BootCamp | $8,000 | 296 |
| Platform and MLOps engineers | 2 | MLOps BootCamp | $4,000 | 120 |
| Full stack developers | 6 | Full Stack course | $2,700 | 72 |
| QA and test engineers | 3 | QA course | $1,350 | 36 |
| DevOps engineers | 3 | DevOps course | $1,350 | 36 |
| Product owners | 2 | Product Owners course | $900 | 24 |
| Project or program manager | 1 | Project and Program Management course | $450 | 12 |
| Total | 24 | $20,650 | 644 |
US dollars, public prices
Additional discounts are available. Contact us to know more.
If all 24 people took the 74-hour BootCamp at $2,000, the fees would be $48,000 for 1,776 hours. The matrix costs less than half and spends the long hours only where people will use them. It is not automatically the better plan: some teams prefer one shared program for a common language. That choice is yours.
Step 3: sequence it in waves
| Wave | Who | Why first |
|---|---|---|
| 1 | Sponsor, architects, product owners | They set scope, standards and acceptance criteria before building starts |
| 2 | Engineers building AI features, plus a project lead | They need the standards from wave 1 to build against |
| 3 | QA, DevOps, platform and full stack | They test, deploy and review what wave 2 builds |
| 4 | Everyone else | Wider rollout once a pilot has shown results |
Prerequisites to plan for
- Most role courses need the free 6-hour Python for AI course first, so schedule it before wave starts.
- About $10 of API credit per learner covers the hands-on labs in several role courses.
- Private cohorts are possible for teams. Group pricing depends on team size and tailoring, so ask for a quote.
Measure before you start
Pick two or three delivery measures, such as lead time and cycle time, and record a baseline. Our guide on measuring training impact explains how, and the Center of Excellence post shows where the matrix fits in a bigger plan. To build the budget case, read how to pitch an AI upskilling budget. To discuss a private cohort, use the contact page.
Questions people ask
Should everyone start with Python for AI?
Anyone in a role course should have the Python for AI prerequisite or equivalent. Leaders and architects who will not write code still complete it, so they can read code and talk to engineers.
Can one program serve a mixed team?
It can, but the people at the edges of the range get less from it. Matching roles to programs usually costs less and fits better.
How do we know who needs the long programs?
Look at who will build and deploy AI systems in the next two quarters. Those people need depth. Others need enough to review, test, scope or sponsor the work.
