AI BootCamps (7 Courses)
Course Category
Course Category
A working session for IT professionals with a few years behind them. We map your current stack to an AI track, show you the skills that get interviews, and give you a plan you can start on Monday.
Registration closes when the room fills. Every registrant gets the recording.
No slides full of theory. Every part of the session ends with something you can act on.
Which AI roles match your background, whether you come from engineering, data, QA, cloud, or delivery.
What hiring managers screen for right now, and what looks good on paper but does not move an interview.
A week-by-week path from your current work to a first shipped AI project.
Ranges we have seen this year for GenAI, MLOps, and agentic engineering roles.
Which ones hiring managers actually check, and which ones you can skip.
Bring your situation to the Q&A. This part usually runs past the hour.
What changed in the last year, where the openings are, and who is getting hired.
We take a few roles from the room and work through where each one goes next.
GenAI, retrieval, agents, evaluation, MLOps. What to learn first and what can wait.
Two or three project shapes that show you can build, not just prompt.
Bring your situation. This part usually runs long.
If you have a few years in one of these roles and want your next move to be into AI, this session is for you.
Prerequisite
A few years working in IT and a willingness to build. You do not need any AI or machine-learning background. We start from where you are.
15 years inside Fortune 500 enterprise transformation, leading curriculum design and delivery across AgileFever. Built training programs for 300+ enterprise teams, including Wells Fargo, ExxonMobil, Walmart, Discover Financial, and BCBS, and taught 16,000+ IT professionals through AgileFever’s live bootcamps.
“I’ve spent 15 years inside enterprise transformation. This bootcamp is built from what actually gets people hired, not theory.”
I went in as a data analyst and came out with a plan I could follow. A year later I am a Staff Data Scientist and my pay went from about 27 LPA to 40.
The interview coaching was the part that mattered. They pushed on my weak answers until they were sharp.
Practical, not academic. Every session had something I used at work the same week.
I was on the fence about switching tracks. The career mapping made the next step obvious.
Good structure and honest feedback. They told me what was not working, which is rare.
Worth the time even for someone senior. I picked up a cleaner way to think about MLOps.
Trainer's real-world expertise and hands-on project work were incredibly valuable. Already applying these AI skills in my current role.
Yes. The session is built to stand on its own. We mention our programs at the end for anyone who wants a structured path, and you can ignore that part.
Yes, and we send the recording to everyone who registers. Sign up even if the time is bad for you.
Register for any date. You will get the recording, and you can join a later live session if you want the Q&A.
No. You need a few years in IT and a willingness to build. We start from where you are.
Nothing. If you have your resume open, the career-mapping part goes faster.
No. People join from the US, UK, UAE, and Singapore. Dates on this page are shown in your local time.
Four dates are open. Each one runs the same session, so take whichever fits your week.
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