Offered by the Dept. of Computer Science and Engineering, IIT Bombay

The certificate is delivered by faculty from the Department of Computer Science and Engineering at IIT Bombay. 

It is led by Dr. Arpit Agarwal, Assistant Professor at IIT Bombay. His work focuses on Human-AI interaction and responsible AI systems.

This is an instructor-led certificate delivered through scheduled live sessions, guided labs, and structured project work, with support from IIT Bombay faculty.

The curriculum of this certificate is divided into four modules: 

Module 1: Foundations of Agentic Systems 

Python refresher, AI and LLM fundamentals, transformer architecture, sampling methods, and prompt engineering. 

Module 2: Agentic AI Fundamentals 

Agent workflows, tool usage, routing patterns, memory systems (RAG), vector databases, MCP, and orchestration with LangGraph and CrewAI. 

Module 3: Advanced Agentic Systems 

Planning and reasoning techniques (CoT, ReAct), reflection mechanisms, reinforcement learning basics, DSPy, and multi-agent coordination. 

Module 4: AI Agents in the Real World 

Human-in-the-loop design, alignment, prompt security, guardrails, monitoring, evaluation, and deployment using FastAPI, Streamlit, and Docker. 

Note: Curriculum review and updates are under the purview of IIT Bombay and may be undertaken periodically to ensure alignment with evolving industry requirements. 

The successful completion is contingent upon learners passing the assessments based on the evaluation criteria determined by the faculty.

You will build practical systems, and here are some of the sample projects for reference: 

1. The "Analyst" Agent 

 Build a single agent that can search the web and summarise financial news. 

Concepts Covered: Tool usage (Search API), Prompt Engineering, and Structured Output. 

2. Customer Support Agent 

A RAG-based customer support chatbot to address the frequently asked questions (FAQs) and escalate to a human operator if a customer needs specialized assistance. 

Concepts covered: Natural Language Processing (NLP), LLM Integration, Agentic Frameworks (LangChain), Retrieval Augmented Generation (RAG), Human-in-the-loop (for escalated cases). 

3. The "Event Planner" 

Crew A team of agents collaborates to plan a trip. 

Concepts Covered: Multi-agent Collaboration, Shared Memory, Human-in-the-loop (approval before booking). 

4. “Software Engineering” Team 

 A multi-agent system that takes a feature requirement document, handles the end-to-end software development life cycle, and returns a fully functional software code along with documentation 

Concepts: Software Design, Code execution (sandboxing), Error handling (self-correction if code fails), ReAct pattern, Software testing and integration, Multi-agent collaboration.

Yes. You will build practical agentic systems, including autonomous agents, multi-agent workflows, and deployable applications using industry-relevant tools and frameworks.

Learners should have a Bachelor’s or Master’s degree in Engineering from a recognised university with a minimum aggregate of 50 % (or equivalent CGPA) and at least 2 years of relevant work experience. 

Prior exposure to programming is required.

Yes. The Certificate in Agentic AI is delivered fully online through live, interactive sessions conducted by IIT Bombay faculty.

The schedule is structured to accommodate working professionals, with an expected commitment of approximately 4 to 6 hours per week.

Yes. Prior exposure to programming is required. Learners are expected to be comfortable with basic programming concepts to build and work with AI agents.

Yes. This certificate is well-suited for software engineers who want to design, build, and deploy autonomous AI agents and integrate agentic systems into real-world applications.

The total fee is ₹1,80,000 + 18% GST.
For flexible payment options, you may contact the Registration Team.

Financial assistance is provided through partners like Propelld, Zest, Eduvanz, and LiquiLoans, subject to conditions. Please connect with the Registration Team for details.

• Application: Interested candidates can apply by filling out a simple online application form. 
• Interview Process: Go through a mandatory screening call with the registration office. 
• Offer of Registration: Selected candidates will receive an offer letter. They must pay the registration fee to confirm their seat and complete the registration.
  

No. The certificate is designed for working professionals and delivered online.

This certificate prepares you to: 

• Design and deploy autonomous AI agents
• Build scalable multi-agent systems 
• Implement governance and monitoring in AI deployments 
• Move from experimentation to production-ready agentic applications 

It strengthens your ability to work on advanced AI systems in technical roles.

This certificate is suited for: 

• Data and AI professionals 
• Software Development and Technology Professionals 
• Technology Consultants and 
• Technical Leaders

AI agents are autonomous software systems that can understand goals, make decisions, use tools, and execute multi-step workflows with minimal human intervention.

An Agentic AI program focuses on teaching learners how to design and build AI agents that can independently plan, make decisions, use tools, and execute tasks to achieve defined goals. 

Unlike traditional AI systems that only generate responses, agentic systems can interact with data sources, coordinate across multiple steps, and perform real-world actions.