How to Choose an AI Bootcamp Without Buying a Promise

An AI bootcamp can be a useful sprint or an expensive tour of tool logos. The difference is rarely the trailer. It is the calendar, the work you keep, and whether a person ever looks at that work.

Five checks before you enroll

Ask for the week-by-week syllabus. If the answer is “you will master AI,” ask which tools, which tasks, and which week is for practice versus lectures.

• Pace: hours per week, and what happens if you fall behind
• Prerequisites: stated honestly, including math or coding if they matter
• Projects: something you can open later, not only quizzes inside the platform
• Feedback: who reviews your work, and how often
• Evidence: sample projects or syllabi, not only testimonials

A readiness note you can write yourself

Before you compare prices, write one paragraph: the job you do now, the task you want to shorten, and the hours you can protect each week. A beginner path that practices prompting and review is a better fit than an engineer curriculum if you will not write code.

Capstone work should match that paragraph. A certificate with no artifact is a receipt. A small project you can explain is the thing worth keeping.