Written by the AgileFever editorial team. Program details were checked against the live program pages on October 29, 2026. We run this program. Ratings and testimonials are the ones shown on our own program page, which we cannot independently verify, so we say what to check instead.
Anyone searching for reviews of a bootcamp is asking whether it is worth the money and the evenings. A rating on the provider’s own page is the weakest evidence you can get, so this post is built around what you can check yourself.
What the page shows, and how much to trust it
| What you will see | Where it comes from | How much weight it deserves |
|---|---|---|
| 4.9 out of 5 Google rating | Our program page | Open the Google listing and read recent reviews instead of the average |
| 4.5 out of 5 on CourseReport, 4.7 out of 5 on Meetup | Our program page | Both sites are public, so open them and compare |
| Three named testimonials: a cloud ML engineer, an AI engineer and a senior CloudOps and cloud architect at Globant | Our program page | Three quotes are not a sample. One says the learner moved into an MLOps engineer role, which we cannot confirm |
| 16,000+ professionals upskilled, 150+ live cohorts, 300+ enterprise teams | Our own figures for the whole company | They describe AgileFever overall, not this bootcamp |
What you can check without trusting us
| Check | How | What a good answer looks like |
|---|---|---|
| The curriculum matches your job | Read the module list on the program page, or our curriculum breakdown | Seventeen modules from Python and statistics through Git, GitHub Actions, MLflow, DVC, Docker, Airflow, Kubernetes and Grafana to LLMOps and Agentic AI Ops |
| The projects are real work | Ask for a project description and the capstone brief | A clear scope, data source and deliverable. The page lists 16+ projects and two capstone options on Google Cloud, fraud detection or product recommendation |
| Someone finished it | Ask an advisor to connect you with a past learner | A named person with a role you can look up, willing to talk |
| Price and terms are in writing | Ask for the fee, refund timing and cohort dates by email | The same figures on the page and in the email. See our refund policy explained |
| Your schedule fits | Read the cohort time zone and format | Live virtual sessions at a time you can attend. The page says recordings of live sessions are kept |
Figures as shown on the program page on October 29, 2026
Things on the page that do not line up
We would rather you hear about these from us. The headline promises an MLOps engineer in six weeks, yet the cohorts we checked meet for 8 hours a week (4 hours a day on Saturday and Sunday, or 2 hours a day Monday to Thursday). At that pace 60 hours takes about eight weeks, and the listed cohorts span seven to eight. Read the days and hours per week for the cohort you want, not only the headline. One FAQ answer says you will graduate with 15+ projects, while the page elsewhere says 16+. The page also quotes an average salary range and a claim about deploying models faster. We cannot source either figure, so do not base your decision on them.
The fee shown on the cohort rows is $2,000, and the financing banner says monthly payments start from $84. Ask an advisor to confirm the fee in writing before you pay.
Additional discounts are available. Contact us to know more.
Who this program is not for
- If you want to build AI applications with language models and agents, the GenAI and Agentic AI BootCamp is closer.
- If your main work is data pipelines rather than models, compare the Data Engineer and MLOps bootcamps.
- If you have never written Python, the page recommends basic Python first. Our free Python for AI course is six hours.
For a fuller picture read the complete guide, the cost breakdown and how to read an AgileFever program page. The program page is the MLOps, LLMOps and Agentic AI Ops BootCamp.
Questions people ask
Are the testimonials verified?
We cannot verify them independently, and you cannot from the page either. That is why we suggest asking to speak to a past learner.
Is there an exam?
No. The page says you earn the certificate by completing all modules and the capstone project.
Is the program a job guarantee?
No. We do not guarantee jobs. See why we do not guarantee jobs.
Are sessions recorded?
Yes. Live sessions are recorded.
