AI BootCamps (7 Courses)
Course Category
Course Category
Pick a project for your role and level. Each kit has the architecture, two stack options, a folder layout, timed milestones, an evaluation plan, common pitfalls, a README template and the CV line it earns you.
Interviewers ask "show me something you built and how you know it works". Every project here ends with a measured result you can talk about.
Enter your details once to open the full kit for all 12 projects.
We use your details to follow up about AgileFever programs. We receive which project you opened first.
Tick them off as you go. Hours are estimates for someone comfortable with basic Python.
A README template with your project filled in. Replace the bracketed parts with your own results.
An illustration of the shape to aim for. Use your own measured numbers.
These programs include hands-on projects with instructor feedback. Each page lists its own prerequisites, dates and price.
Why these 12. They cover what AI engineering interviews ask about in 2026: structured output, RAG, agents, MCP, evaluation, text-to-SQL, multi-agent design and LLMOps. Each ends with a number you can defend.
Data. Use public, synthetic or permitted data. Never send personal or confidential company data to a model your company has not approved.
Tools. Tool and service names are examples of what teams use, not endorsements. Hours are estimates. Program facts come from the program pages and can change.
Written by the AgileFever editorial team. Project ideas and guidance, not a certification. Program hours come from the program pages and can change.