This is AgileFever describing its own approach, so read it as our view rather than a neutral review. Wherever we can, we’ve pointed to the curriculum so you can check the claims yourself.
A lot of AI training stops at prompting, and that isn’t hands on AI training. Write a better prompt, get a better answer, and you’re “AI-skilled.” Prompting is useful, and we teach it. But it’s a small part of what employers mean when they say they need people who can work with AI, and courses that stop there leave learners stuck when the job asks for more.
Here’s what we teach instead, and why.
Prompting is one module, not the course
In our GenAI and Agentic AI BootCamp, prompt and context engineering is one of 17 live modules. The rest go into retrieval, agents, evaluation, deployment, and security.
Number of live modules by topic
Source: AgileFever GenAI and Agentic AI BootCamp curriculum, October 2026. A recorded n8n module is not counted.
That balance reflects where people actually get stuck. Getting one good answer out of a model is easy. Getting reliable answers, grounded in your company’s data, from a system that takes actions and costs a predictable amount, is the work.
Five principles behind our hands on AI training
1. Build the system, not the demo
A demo works on the inputs you chose. A system has to work on the inputs users send. That’s why our programs spend real time on evaluation, guardrails, and deployment, beyond the happy path. In the MLOps BootCamp, the capstone isn’t a model; it’s a full pipeline on Google Cloud with versioning, automated training, and monitoring.
2. Use business problems, not toy examples
Our bootcamp capstones are built around business processes such as insurance claims processing, IT service desk resolution, and loan underwriting. These are harder than a chatbot that answers trivia, which is the point. They force you to deal with messy documents, edge cases, and the question of when a person should step in.
3. Evaluate by what you built, not a quiz
None of our bootcamps has a written exam. You earn the certificate by completing the capstone, which in the MLOps BootCamp also means completing every module. We think a working system you can explain in an interview says more about your skills than a multiple-choice score.
4. Teach live
Most of our hours are live and instructor-led. The MLOps BootCamp has no self-paced modules at all. Live sessions matter most when your code breaks, which in AI work is often, and when you need to ask a question about your own project.
5. Say who it’s not for
We tell people when a program doesn’t fit them. The GenAI and Agentic AI BootCamp isn’t for complete beginners, and we say so on the program page. We’d rather point someone to a 4-hour foundations course than enroll them in a 74-hour bootcamp they’ll struggle through. It’s the same reason we don’t promise jobs.
What this looks like by role
Not everyone needs to build agents. For roles that work with AI rather than build it, the same principles apply in a different form.
| Role | Beyond prompting, the course teaches |
|---|---|
| Business leaders | Choosing use cases, building the business case, governance, and why AI projects fail |
| Solution architects | RAG and agent architecture, cost modeling, AI security, legacy integration |
| Product owners and managers | Feature feasibility, evaluation design, human review rules |
| Project and program managers | Building their own AI tools for charters, planning, and status reporting with Python, LangGraph, and n8n |
Each of these includes some prompting, because it’s a useful everyday skill. None of them is mainly about it.
Where this approach is a poor fit
If you want a quick introduction to AI tools for personal productivity, our programs are more than you need. A short self-paced course or a free tutorial will serve you better. And if you can’t commit to live sessions at fixed times, a cohort-based program will be frustrating, however good the content is.
What to read next
For how our live cohorts compare with self-paced courses, read What Makes an AgileFever Cohort Different From a Generic Online Course. To see a full curriculum, start with GenAI and Agentic AI BootCamp: The Complete Guide.
