Agentic AI Course Fees

Quick answer

Agentic AI course fees range from zero for free official courses to a one-time fee for live, mentored training, and the right choice depends on how much structure, project feedback and placement support you need. Several strong learning options cost nothing, such as the Hugging Face Agents Course and the free audit of the DeepLearning.AI Agentic AI course. Paid courses charge more because they add live classes, a fixed schedule, mentors who review your projects, and career support. If you also want a vendor certification, the exam fee is separate and usually billed in US dollars.

Key takeaways

1. How much does an agentic AI course cost in India?

Short answer: It can cost nothing, a monthly subscription, or a one-time fee. Free official courses teach the concepts. Subscription platforms charge for certificates. Live classroom and online courses charge a one-time fee because they include trainers, projects and placement support.

First, a quick definition so the fee discussion makes sense. Agentic AI means AI systems that pursue a goal on their own. They use a large language model (LLM), which is the AI model behind tools like ChatGPT, to plan steps, call tools and check their own results. An agentic AI course teaches you to build these systems, not just to chat with them.

Because the field is new, prices vary a lot. You will see three broad levels of cost when you search for an agentic AI course in India:

There is no standard fee for an agentic AI course. The word "course" can mean a short video series or a months-long programme with several projects. So instead of chasing the lowest number, compare what each rupee buys.

2. What drives agentic AI course fees

Short answer: Five things decide most of the price: the format (recorded, live online or classroom), the duration, the number and depth of projects, mentor access, and placement support. Tool access, batch size and the type of certificate also play a part.

Here is what usually explains the gap between two courses with the same title.

Format: recorded, live online or classroom

Recorded courses cost the least because one recording serves many learners. Live online classes cost more because a trainer answers your batch's questions in real time. Classroom training usually costs the most because it adds a venue, a lab and face-to-face support. If you finish what you start, recorded content can be enough. If you tend to stop after week two, a live batch with a timetable is often worth the extra fee.

Duration and depth

A short course can explain what an agent is. A longer course has time to take you through the full stack: Python, LLM basics, tool calling, RAG, one framework, multi-agent orchestration, evaluation and deployment.

A few terms you will see in every syllabus:

More topics mean more teaching hours, and that usually means a higher fee. If you want to see what a complete course should cover, read our agentic AI syllabus guide.

Projects and mentor reviews

Projects are where you actually learn. Watching someone build an agent is not the same as debugging your own agent when it calls the wrong tool. Courses that include several real projects, and a mentor who reviews your code, cost more because reviews take expert time. For job seekers this is often the part of the fee that pays back the most, because projects become your portfolio.

Placement support

Placement support can include resume and LinkedIn reviews, mock interviews, interview referrals and a dedicated placement officer. It adds real cost for the provider, so it raises the fee. Read the exact wording, though. "Placement assistance" means help with your job search. It does not mean a guaranteed job.

Tools, batch size and certificate

Some courses include access to paid tools or cloud labs during training. Small batches cost more per learner than large ones. A certificate from a course provider is different from a vendor certification exam, which you pay for separately. We cover exam fees in section 4.

3. Free and low-cost official options

Short answer: You can learn a lot for free. The Hugging Face Agents Course is free with certificates, the DeepLearning.AI Agentic AI course is free to audit, IBM's professional certificate on Coursera shows "Enroll for free", and every major framework publishes free documentation under open-source licences.

Try the free material from the companies that build these tools first. It shows whether you enjoy the work and makes any paid course easier.

Hugging Face Agents Course

The Hugging Face Agents Course is free (Hugging Face, October 2026). It covers smolagents, LangGraph and LlamaIndex, and it offers a fundamentals certificate for Unit 1 plus a completion certificate. It suits you if you can already write basic Python and want to build agents rather than just read about them.

DeepLearning.AI Agentic AI course

The DeepLearning.AI Agentic AI course by Andrew Ng is an intermediate course of about 9 hours 55 minutes (DeepLearning.AI, October 2026). It teaches four design patterns: reflection, tool use, planning and multi-agent collaboration. You can audit it for free. The certificate needs a Pro membership at $25 per month, billed annually. This is one of the best low-cost ways to understand how agents are designed.

IBM RAG and Agentic AI Professional Certificate

IBM's RAG and Agentic AI Professional Certificate on Coursera has 10 courses at an advanced level and covers LangChain, LangGraph, CrewAI, AG2, BeeAI and MCP (Coursera course page, October 2026). The page shows "Enroll for free". Check the current certificate terms on the page before you start, because platform pricing can change.

Free frameworks and low-cost practice tools

The frameworks themselves cost nothing. LangGraph, CrewAI, the OpenAI Agents SDK, Microsoft Agent Framework and Pydantic AI are released under the MIT licence, and Google's Agent Development Kit uses Apache-2.0 for its Python repository (official GitHub repositories, October 2026). Note that Microsoft AutoGen is archived. Microsoft now points new users to Microsoft Agent Framework, so learn that instead.

If you want to practise with visual, low-code builders, some have free plans (vendor pricing pages, October 2026):

Free is a great starting point. The catch is that nobody checks your work, sets deadlines or helps with your job search. That is the gap paid courses try to fill. Our agentic AI roadmap shows how to order these free resources week by week.

4. Certification exam costs

Short answer: Vendor exams are paid separately from any course. In October 2026 they ranged from $99 for the Google Cloud Generative AI Leader exam to $300 for AWS Certified Generative AI Developer, Professional. NVIDIA's agentic AI exam costs $200, but registration showed "Coming soon".

A course certificate shows you finished a course. A vendor certification shows you passed a proctored exam set by a company such as NVIDIA, AWS, Google, Databricks or Microsoft, and you pay its fee to the vendor or its exam partner.

Notes on each exam

The NVIDIA-Certified Professional: Agentic AI exam is the most directly "agentic" of the group. It is intermediate, costs $200, and NVIDIA recommends 1 to 2 years of AI or ML experience (NVIDIA, October 2026). On 23 October 2026 the registration button showed "Coming soon", so you may not be able to book it yet.

The AWS Certified AI Practitioner exam costs 100 USD and has no prerequisites (AWS, October 2026), which makes it the gentlest paid starting point. The AWS Certified Generative AI Developer, Professional exam costs 300 USD and AWS recommends 2 or more years of AWS experience plus 1 year with generative AI (AWS, October 2026).

The Google Cloud Generative AI Leader exam costs $99 and has no prerequisites (Google Cloud certification page, October 2026). Agents are not listed as a named topic, and we found no Google Cloud certification focused only on agents. The Databricks Certified Generative AI Engineer Associate exam costs $200 and recommends 6 or more months of hands-on experience (Databricks certification page, October 2026).

For Microsoft, the Azure AI Engineer Associate (AI-102) certification is retired. The newer Microsoft exam on AI apps and agents is AI-103, for the Azure AI Apps and Agents Developer Associate. Its price varies by country, and it covers Python, Microsoft Foundry and implementing generative AI and agentic solutions (Microsoft Learn, October 2026).

Paying in dollars from India

Most exam fees are listed in US dollars. The rupee amount you pay depends on the exchange rate on the day and any charges your bank or the exam provider adds, so check the final amount at checkout. Microsoft says its AI-103 exam price varies by country, so check the price shown for India.

Should you take an exam at all? It depends on your goal. For a full comparison of which certificate suits which learner, read our guide to agentic AI certification.

5. Hidden costs to budget for

Short answer: Even a free course has running costs. Plan for LLM API usage, cloud accounts, a laptop that can run your tools, a stable internet connection, possible exam retakes, and the time you take away from work or study.

LLM API usage

Agents call an LLM many times to finish one task, because they plan, call tools and check results in a loop. If you use a paid model API, every call costs money based on the amount of text sent and received. A buggy agent stuck in a loop can burn through credits quickly. Set a spending limit on your API account before you start, and test with small inputs.

You can reduce this cost by using free tiers where providers offer them, smaller and cheaper models for practice, or open models run through free community platforms. Ask any paid course whether API access is included or whether you pay for your own keys.

Cloud accounts

If your course teaches deployment on AWS, Azure or Google Cloud, you will need a cloud account. Free trials and free tiers exist, but resources left running can create a bill. Always shut down what you do not need, and set billing alerts on day one.

Hardware and internet

You do not need an expensive GPU machine to learn agentic AI, because most of the heavy work happens on the provider's servers. A laptop that runs Python, a code editor and a browser comfortably is enough. A stable internet connection matters more, especially for live online classes.

Exam retakes and renewals

Check each vendor's retake policy before you book, because a retake can mean paying the fee again. Certifications also expire. The NVIDIA and Databricks exams above are valid for 2 years, and the AWS Certified AI Practitioner and Google Cloud Generative AI Leader for 3 years, so budget for renewal if you want to keep them current.

Your time

Time is the biggest cost of all. A 3-month course with weekend batches still needs practice time during the week. Be honest about how many hours you can give, and choose a format that fits around your job or college.

6. Free vs paid: which should you choose?

Short answer: Choose free if you are self-driven and already code. Choose a paid live course if you need a schedule, project feedback, doubt clearing and placement help. Many learners do both: free courses first, then a paid course to go deeper.

There is no single right answer. Use this table to match the option to your situation.

A simple approach that saves money:

This way you pay only after you know the field suits you, and you join the paid course ready to learn faster.

7. How to judge value: a checklist

Short answer: A good course teaches current tools, includes several real projects, has a trainer with relevant experience, offers recordings and doubt support, and states clearly what placement help includes. Use the checklist below before you compare fees.

The cheapest course is not always the best value. Score each course against these points.

Syllabus and tools

Projects

Trainer and support

Career support

Fees and terms

If a course ticks most of these boxes at a fee you can afford, it is likely good value. If it misses the projects and mentor review parts, think twice, because those are the parts you cannot easily get for free.

8. Questions to ask before you pay

Short answer: Ask for the latest syllabus, the number of projects, who the trainer is, what placement support includes, whether recordings and API access are included, the full fee with taxes, the EMI terms and the refund policy. Get the answers in writing.

Ask these on a call or at the demo class. A good provider will answer every one clearly.

Write down the answers. If a provider avoids a question, such as the total fee or what placement support really means, treat that as a warning sign.

9. Red flags when comparing course fees

Short answer: Be careful with job guarantees, fixed salary promises, outdated tool lists, unclear total fees, pressure to pay today, and courses that show only theory with no projects.

Watch for these warning signs:

Treat course marketing with healthy doubt. A course page full of buzzwords tells you little. Ask to see the projects you will build and the code you will keep.

10. Is an agentic AI course worth the fee?

Short answer: It is worth it when it helps you build real projects and land a better role faster than you could alone. Look at the fee as an investment, compare it with the pay for AI roles in India, and choose the cheapest option that still gives you the structure and feedback you need.

Employers in India are hiring for titles such as AI Engineer, Generative AI Engineer and Agentic AI Engineer. Pay for these roles is reported on salary sites, but "agentic AI engineer" is a new title, so the data is still thin. For the latest sourced ranges by role, experience and city, see our guide to agentic AI engineer salary.

To judge value, add the course fee, exam fee and hidden costs, then weigh them against the time a structured course saves you and the portfolio it helps you build. A role change can repay the fee, but no course can promise one. Strong self-learners may need only free resources plus a vendor exam. If you need guidance, deadlines and job support, a paid course often gives better value than the fee alone suggests.

11. How Brolly Academy helps

Short answer: Brolly Academy's Agentic AI Course in Hyderabad runs for 3 months in classroom and online modes, with three fee options from ₹9,999 to ₹29,999, six capstone projects, placement assistance and an Easy EMI option.

The Agentic AI Course in Hyderabad at Brolly Academy is built for students, freshers, developers and career switchers. You do not need prior AI experience, and Python is optional. Here are the fees as listed on our course page in October 2026:

Easy EMI is available, so you can spread the fee instead of paying it all at once.

What you get for the fee:

You receive a Brolly Academy Agentic AI course completion certificate. It is a course certificate, not a vendor certification, so if you want a vendor exam as well, budget for its fee separately.

Not sure yet? Book a free demo class and ask us every question from section 8. Call +91 81868 44555 or visit us at Metro Pillar No. A689, Dr Atmaram Estates, 3rd Floor, Nizampet X Roads, near JNTU Metro Station, Hyderabad 500072.

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