The enterprise AI agents course cost at AgileFever is 9 per program in the US or ₹16,000 in India, for 12 live hours on Azure, AWS, or Google Cloud. The Multi-Cloud AI Agents BootCamp covers all three for $599 or ₹40,000. The fee is only part of the cost, though. You’ll also run real cloud resources during the labs, and if you’re aiming for a certification, there’s the exam to budget for.
This post covers all of it.
Enterprise AI agents course cost: the prices
| Program | Hours | US price | India price | Next cohort |
|---|---|---|---|---|
| Enterprise AI Agents on Azure (Microsoft Foundry) | 12 | $199 | ₹16,000 | November 16 to 19, 2026 |
| Enterprise AI Agents on AWS | 12 | $199 | ₹16,000 | November 23 to 26, 2026 |
| Enterprise AI Agents on Google Cloud | 12 | $199 | ₹16,000 | November 30 to December 3, 2026 |
| Multi-Cloud AI Agents BootCamp | 36 | $599 | ₹40,000 | November 16 to December 3, 2026 |
Additional discounts are available. Contact us to know more.
What the fee covers
| Included | Details |
|---|---|
| Live instruction | 12 hours per cloud, instructor-led, using real cloud resources |
| Six modules | Setup and architecture, model deployment, LLM applications and RAG, agents, multi-agent systems, and running agents in production |
| What you build | An ML model on a live endpoint, a RAG application with guardrails and evaluation, and a multi-agent system in production with tracing |
| Session recordings | Live sessions are recorded |
| Certificate | An AgileFever completion certificate after all six modules and a final demo |
Cost per hour, compared
Price divided by live hours
Source: AgileFever program pages, October 15, 2026. Rounded to the nearest dollar.
The cloud programs are the lowest cost per hour in the catalog. That’s partly because they assume you already know how to build agents, so the sessions can go straight to the platform.
Costs that aren’t on the price tag
| Cost | What to expect | How to keep it down |
|---|---|---|
| Cloud usage during labs | You use your own Azure, AWS, or Google Cloud account. Labs use small models and short-lived resources | Set the budget alert in module 1, and delete everything after the final demo |
| Model access | On AWS, you need permission to enable Bedrock model access; on every cloud, permission to create resources | Ask your company for a sandbox account before the cohort starts |
| Prerequisite knowledge | The programs expect agent-building experience, such as the GenAI and Agentic AI BootCamp ($2,000) | If you already build agents at work, you don’t need the bootcamp first |
| Certification | The course isn’t the exam. Exam fees are paid to Microsoft, AWS, or Google separately | Check the current exam fee on the vendor’s site before you plan |
| Exam preparation | Each course covers part of its exam. The course pages suggest an exam-prep add-on before booking | Ask the team about the add-on when you enroll |
Which option is better value?
Three single-cloud programs cost $597; the bootcamp costs $599 for the same 36 hours. The bootcamp adds a shared foundations module, rebuilds one reference project on each cloud so the differences are easy to compare, and ends with a capstone in which agents on different clouds work together through the A2A protocol. If you need all three clouds, the bootcamp is the better buy. If you need one, take that cloud’s 12-hour program.
FAQ
Can my company pay for a private cohort?
Yes. Corporate cohorts are available with flexible scheduling.
Is the AWS course the same price as Azure and Google Cloud?
Yes. All three single-cloud programs are $199 or ₹16,000.
Will I need to pay for cloud credits?
Usually only a small amount, if you follow the lab clean-up steps. New accounts often come with trial credits, but check your provider’s current terms.
What to read next
For a full comparison of the programs, read Enterprise AI Agents on Azure, AWS and Google Cloud: The Complete Guide. To choose a cloud, see Azure vs AWS vs Google Cloud: which to learn first.
