IIT Delhi Launches 6-Month Agentic AI Certificate Course; Check Eligibility, Fees and Syllabus

The programme is offered through IIT Delhi's Continuing Education Programme (CEP). Its curriculum covers large language models (LLMs), autonomous AI agents, multi-agent systems, information retrieval, AI security and enterprise-level deployment. The course combines faculty-led sessions, practical assignments and a final project focused on developing an AI application.

The programme comes as organisations explore ways to use AI not only to generate content but also to perform connected tasks, retrieve information and support business workflows. However, deploying autonomous AI systems also raises questions about reliability, security, human oversight and responsible use.

IIT Delhi Agentic AI Course 2026: Key Details

According to the official IIT Delhi programme page, the course is scheduled to begin on January 9, 2027, and conclude on June 19, 2027. The programme is listed as an online course with a duration of six months.

The official programme page lists September 25, 2026, as the application deadline, although it also displays an admissions-open status. Prospective applicants should contact the programme administrator to confirm whether applications are still being accepted.

What Is Agentic AI and How Is It Different From Generative AI?

Agentic AI refers to artificial intelligence systems designed to work towards a defined objective by planning steps, retrieving information, using external tools and carrying out a sequence of actions.

Traditional generative AI systems primarily produce responses or content based on user prompts. Agentic AI systems can go further by coordinating multiple operations to complete a task, subject to their design, permissions and available tools.

For example, a conventional AI assistant might summarise a business report. An agentic AI system could retrieve information from multiple documents, compare the findings, organise the results and prepare a draft report.

More complex systems may use multiple specialised agents, with each responsible for a different part of the workflow.

These capabilities can be useful in areas such as customer support, enterprise information management and business process automation. However, autonomous systems can also make mistakes, retrieve inaccurate information or take inappropriate actions if they lack sufficient safeguards. Human oversight and security controls therefore remain important.

What Will Students Learn in the IIT Delhi Agentic AI Programme?

The six-month certificate programme is structured around eight core modules covering the development and deployment of agentic AI applications.

Key areas include:

• Agentic AI foundations: Understanding the development of autonomous AI systems and their applications.
• Large language models: Learning how LLMs support AI-powered applications.
• Autonomous agent design: Developing systems that can plan tasks, use tools and execute workflows.
• Enterprise knowledge systems: Using information retrieval and Retrieval-Augmented Generation (RAG) to connect AI applications with relevant data.
• Multi-agent orchestration: Coordinating several AI agents to work on complex tasks.
• AI security and governance: Studying AI Trust, Risk and Security Management (AI TRiSM), including explainability, reliability and compliance.
• Application deployment: Learning how AI applications can be developed and prepared for practical use.
• Enterprise-scale operations: Understanding the challenges involved in running AI systems in organisational environments.

Participants will also be introduced to technologies and frameworks such as Model Context Protocol (MCP), LangGraph, CrewAI and AutoGen. These tools support the development and coordination of AI agents and multi-step workflows.

Practical Projects and Final Assessment

The programme includes practical assignments that progress from building individual AI assistants and information-retrieval applications to developing workflows involving multiple agents.

Participants will complete an end-to-end capstone project applying their learning to an agentic AI application while incorporating security and risk-management principles.

The teaching format combines live faculty-led sessions with asynchronous learning resources. An optional campus immersion is also available, according to the programme announcement.

The assessment process includes mid-term and end-term multiple-choice examinations, assignments, quizzes and project work. Participants must meet the prescribed attendance and assessment requirements to receive an e-certificate from IIT Delhi's Continuing Education Programme.

IIT Delhi Agentic AI Course: Who Can Apply?

The programme is intended for professionals and graduates interested in developing specialised skills in autonomous AI systems.

According to the official programme page, applicants with a graduation degree in science, engineering or commerce are eligible. At least one year of professional experience is preferred but is not compulsory.

The programme may be relevant to:

• AI and data professionals seeking to expand their technical expertise.
• Software developers interested in building AI-powered applications.
• IT professionals exploring autonomous systems and workflow automation.
• Technology leaders responsible for AI implementation.
• Science, engineering and commerce graduates interested in AI applications.

Applicants should review the official eligibility requirements and confirm whether they need prior programming or technical experience before enrolling.

IIT Delhi Agentic AI Course Fees

The official programme page lists the fee at ₹1,45,000, excluding 18% GST. The additional GST amounts to ₹26,100, bringing the programme fee to ₹1,71,100, excluding the separate application fee. The listed application fee is ₹1,000 plus GST.

The programme fee is a significant consideration for prospective students. Applicants should compare the course's technical curriculum, practical project requirements and assessment structure with other AI training programmes before making a financial commitment.