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.
A rating on the provider’s own page tells you what the provider wants you to see. That is useful as a starting point and weak as proof, so this post separates what the page claims from what you can verify.
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 | Read the recent reviews on the Google listing, not only the average |
| 4.5 out of 5 on CourseReport, 4.7 out of 5 on Meetup | Our program page | Open both sites and compare what is written there |
| Three named testimonials: a Gen AI engineer, a product manager and a senior prompt engineer, rated 5, 4.5 and 5 | Our program page | Three quotes are not a sample, and none of them gives an employer you can look up |
| 16,000+ professionals upskilled, 150+ live cohorts | 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 goal | Read the module list or our curriculum breakdown | Twelve topics from Python, deep learning and NLP through prompt engineering, LLMs, RAG and fine-tuning to deployment, LLMOps and AI safety |
| The projects are real work | Ask for one project description | The page lists nine projects, for example a RAG chatbot with a vector database and LangChain, and a fine-tuned support-ticket classifier. Ask what data and what deliverable each one has |
| You can pick a capstone | Ask which capstones are open now | The page says you choose from real-world use cases, and shows a full-stack legal assistant as one example |
| 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 as the page. See our cost breakdown and refund policy explained |
Figures as shown on the program page on October 29, 2026
Things on the page that do not line up
The hero text says 72 hours, and a line in the curriculum section says the modules total 70 hours. We use 72 in our own posts and flag the difference here. The page also says basic Python knowledge can be beneficial, which is softer than the role courses, where Python for AI is a requirement. If you have not written Python in a while, take the free six-hour Python for AI course first.
A monthly payment option from $125 appears on the page. The list price in our catalog is $1,600. 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 agents that plan and call tools, the GenAI and Agentic AI BootCamp goes further. Our comparison explains the difference.
- If you want classical machine learning and statistics, look at the AI and ML BootCamp.
- If you are brand new to technology, read whether the Gen AI BootCamp suits complete beginners first.
The program page is the Gen AI BootCamp. Our post on the skills you build in it covers the content in more detail.
Questions people ask
Are the testimonials verified?
We cannot verify them independently. Ask for a conversation with a past learner instead.
Is there an exam?
The page lists practical exams, lab assessments and projects at the end of each module, and a capstone at the end of the program.
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.
