This course is for learners and professionals in India who already use tools like ChatGPT and now want to go a step further: building AI systems that plan, use tools and finish multi-step tasks without being prompted at every turn. You do not need a computer science degree. If you can describe a business process clearly, you can learn to turn it into an agent.

Typical learners include working professionals who want to automate repetitive office work, freelancers who want to offer automation as a service, founders testing product ideas and students who want a practical skill alongside their degree. Everything is delivered live and online, so you can join from any city in India.

A chatbot answers one question at a time. An AI agent is given a goal, decides which steps to take, calls tools such as search, spreadsheets, email or APIs, checks its own output and keeps going until the job is done. That loop of planning, acting and checking is what we call agentic AI.

If you want the concept explained in plain language before you enrol, read our explainer on how agentic AI works and the short piece on how AI agents work and why they are replacing simple chatbots.

The training is built around workflows rather than theory. You practise on real tasks so that each week ends with something that runs.

Design the agent before you build it

You learn to define a goal, list the tools an agent may use, set limits on what it can do and decide when a human should review its work. Good agents are mostly good specifications, and this is where most beginners go wrong.

Connect agents to tools and data

You work with large language models, prompt structure, memory and tool calling. You see how an agent reads a document, pulls the facts it needs, writes a draft and hands it back for approval.

Automate real business workflows

Examples include lead follow-up, report drafting, customer query triage, content research and data clean-up. Learners who prefer a visual, low-code route can also look at the no-code AI automation course for small businesses.

Test, monitor and improve

Agents fail in odd ways. You learn to write test cases, read logs, catch wrong answers and add guardrails so the system can be trusted with real work.

The agentic AI track sits inside AI in Hands, our 12 week program for all levels. It is project-based, so you finish with working examples instead of notes. Alongside the projects you get one-on-one mentoring sessions, full access to the program materials and round-the-clock community support, and you complete the program with an industry recognized certification.

Your projects might include a research agent that gathers sources and writes a structured brief, a support assistant that sorts incoming questions and drafts replies, or a small automation that moves information between the tools your team already uses. You choose a final project that matches your own work, so your portfolio reflects what you actually want to be hired or paid for.

Classes are live and online. You learn with an instructor and other learners, ask questions as you go and get feedback on your projects. Because the format is online, there is no travel and no fixed city; learners in India join the same sessions and the same community.

If you are an engineer or developer and want a deeper technical route, see the AI agent development course for tech professionals. It goes further into code and architecture than this page covers.

Choose it if you want to move from using AI to building with it. A good sign is that you already have a process in mind that wastes time every week. Bring that process to the first session and you will leave with a clear plan to automate it.

You can compare formats and levels on the programs page before you decide. When you are ready, pick AI in Hands, review the schedule and enrol so you can start building your first agent.

Related reading: Be A Founder program, Which AI Course Is Best in India 2026? Top 15 Compared With Fees & Placement.