Offered by Indian Institute of Technology Delhi

CEP, IIT Delhi Executive Certificate in Agentic AI Systems (Foundation to Deployment)

A six‑month, live online executive certificate from CEP, IIT Delhi that equips engineers, AI/data professionals and technology leaders to design, orchestrate and deploy enterprise-grade autonomous AI (agentic AI) systems with responsible-AI (AI TRiSM) practices.

Duration
6 Months
Current batch / intake
Batch 01
Learning format
Live Online & Campus Immersion
Program fee
₹1,45,000
Program start
9 January 2027
Apply by
31 October 2026
Duration 6 Months
Mode Live Online & Campus Immersion
Program Fee ₹1,45,000
Apply By 31 October 2026

Program Overview

Designed for professionals who want to move beyond conventional Generative AI, this six‑month programme from CEP, IIT Delhi combines faculty‑led live sessions, hands‑on demos and an end‑to‑end capstone to teach LLM foundations, autonomous agents, multi‑agent orchestration, RAG, AI TRiSM and LLMOps. Participants gain practical experience building agent APIs, retrieval‑augmented knowledge systems and production‑ready agentic applications.

The curriculum balances conceptual depth and applied engineering with demonstrations (e.g., LangChain, LangGraph, FastAPI, LangSmith) and project work. Optional one‑day campus immersion at IIT Delhi is available to enrich peer interaction (travel and accommodation borne by participants).

Why consider this program

Key highlights and core differentiators that set this program apart.

Taught by IIT Delhi faculty (live online)

End-to-end capstone delivering a production-ready Agentic AI application

Dedicated AI TRiSM (Trust, Risk & Security Management) module

Practical proficiency in enterprise agent frameworks (LangGraph, CrewAI, AutoGen, MCP)

Optional one-day campus immersion at IIT Delhi

What you may gain

Core capabilities, strategic skills, and managerial frameworks you will acquire.

  • Design Autonomous AI Agents: design and deploy autonomous agents using LLMs, tool integration, memory architectures and planning systems.
  • Orchestrate Multi-Agent Systems: build and orchestrate collaborative multi-agent systems using frameworks such as LangGraph, CrewAI and AutoGen.
  • Build Enterprise Knowledge Systems: implement RAG pipelines, vector databases and knowledge retrieval systems for enterprise applications.
  • Implement Responsible AI: apply AI TRiSM principles for secure, explainable, compliant and governed AI deployments.
  • Develop Production-Ready AI Applications: integrate APIs, agent frameworks and enterprise data systems to deliver scalable end-to-end AI applications.
  • Monitor AI Performance & Safety: evaluate and monitor agents for safety, reliability, performance and alignment with guardrails.

Program at a glance

Essential delivery mode, timeline, and candidate eligibility at a glance.

Career level
Mid-Level
Mode
Live Online & Campus Immersion
Language
English
Certification
Certificate
Application status
Open

Curriculum / Course Content

Comprehensive breakdown of course modules, masterclasses, and hands-on projects.

  • Python For Data Science | Async pre-read content

  • Exploratory Data Analysis and Data Visualisation | Async pre-read content

  • Machine Learning | pre-read content

  • Deep Learning | Async pre-read content

- Evolution of AI: From GenAI to Agentic AI

  • Building the Agentic AI Mindset & Opportunities

  • Introduction to LangChain & LangGraph for Agentic Design

  • LLM Foundations (Transformers, Tokens, Context Windows & Scaling Laws)

  • Prompt Engineering (Chain-of-Thought, Few-Shot & Structured Output)

  • LangChain LCEL (Chains, Output Parsers & Callbacks)

  • System Instructions, Prompt Security & Injection Defence

- Agent Lifecycle: Observe – Plan–Act–Reflect Loop & State Management

  • Tool Use, Function Calling & Model Context Protocol (MCP)

  • Planning, Execution & Memory Systems

  • Vector Databases, Embeddings & Similarity Search in Production

- RAG in Action: Enterprise Search & AI Knowledge Systems

  • GraphRAG & Multi-Source Knowledge (SQL, APIs & Real-Time Feeds)

- LangGraph: StateGraph, Nodes, Conditional Routing & Checkpointing

  • Multi-Agent Orchestration with LangGraph & CrewAI

- Collaborative AI Agents: Handoffs, Communication & Recovery

- Adaptive AI Agents: Planning, Reflection & Autonomous Reasoning

  • AI TRiSM Framework for Agentic & Autonomous Systems

  • Components of AI TRiSM (Model Risk, Hallucination Quantification & Calibration)

  • Agentic Security (Data Poisoning & Model Inversion)

  • Responsible Deployment, Explainability & Guardrail Architecture

  • Agent APIs with FastAPI & Enterprise Service Exposure

- LangSmith: Tracing, Debugging Multi-Step Failures & Agent Run Replay

  • Async API Design, Streaming Responses & WebSocket Support
  • LangGraph Cloud Deployment, Stateful Session Management & Scaling

  • CI/CD for LLM Apps (Prompt Versioning, A/B Testing & Staged Rollouts)

- Agentic AI Economics: Cost Optimisation, Token Budgeting & ROI Measurement

  • Prompt engineering challenge on a business dataset

  • Build and test a single autonomous AI agent

  • Implement a RAG pipeline for enterprise document Q&A

  • Design a multi-agent workflow using LangGraph or CrewAI

  • Apply context engineering techniques to optimise LLM-based applications

  • Build an end-to-end Agentic AI application incorporating AI TRiSM principles

Recommended Capstone Projects

  • Enterprise Knowledge Assistant with RAG and GraphRAG

  • Multi-Agent Software Engineering Platform

  • Research Paper Intelligence Assistant

  • AI Financial Analysis System

  • University AI Assistant

  • Enterprise AI Copilot with AI TRiSM

  • Prompt Injection Detection and Guardrail Framework

  • Customer Support Agent with Memory and Tool Use

Full demonstration tables per-module as provided in source (Module 1..8) including demos, learning objectives and required tools.

Beginner, Intermediate, Multi-Agent Systems and Advanced project lists as provided in source (full project lists preserved).

Career support topics (Personal Branding, Business Communication, Job Search Strategy, Interview Preparation) with detailed sub-items (offered by TimesPro; IIT Delhi not responsible).

Learning format and experience

Format, class schedules, campus immersion details, and evaluation criteria.

Study format

Mode and time commitment

Mode
Live Online & Campus Immersion
Duration
6 Months
Learning hours
84
Live learning

Class schedule

Saturday · 10:00 AM – 1:00 PM · Weekly · IST

In-person experience

Campus component

Optional campus immersion (1 day) may be offered. Any financial obligation will be met by the Programme Director as part of the overall programme cost.

*Disclaimer - Travel and accommodation cost will be borne by the learners. IIT Delhi will not be responsible for the same.

Assessment

How learning is evaluated

Candidates must secure a minimum of 50% marks in the evaluation and maintain an overall attendance of 70% to be eligible for the ‘Certificate of Successful Completion’. Candidates who meet the attendance requirement but do not secure 50% marks will receive a ‘Certificate of Participation’.

Eligibility and admissions

Eligibility criteria, work experience requirements, and admission steps.

Who this program is for

  • - Technology Leaders & Managers: Built for technology leaders and managers responsible for AI governance, responsible AI practices, and enterprise-scale AI deployment.
  • - Science & Engineering Graduates: Designed for graduates and postgraduates from Science, Technology, Engineering, or Mathematical Sciences who aspire to build expertise in Agentic AI.
  • - Software & IT Professionals: Ideal for software and IT professionals looking to strengthen capabilities in Agentic AI systems and AI TRiSM.
  • - AI & Data Professionals: Suited for data engineers, data scientists, machine learning engineers, and AI practitioners seeking to advance into autonomous agent and multi-agent system design.

Eligibility criteria

  • Graduates from Science, Engineering, or Commerce disciplines.
  • Minimum 1 year of work experience preferred.
Minimum qualification
Graduate
Experience
Fresher (0-2yrs)

Admission and selection process

  1. Select course and complete initial registration
  2. Receive guidance from a programme advisor
  3. Pay the application fees
  4. Submit documents and attend interview if required
  5. Receive offer letter and confirm participation
  6. Complete onboarding formalities as instructed
  7. Begin the course as per scheduled start date

Important Dates

Key application deadlines, batch commencement dates, and intake schedules.

Application Deadline 31 October 2026
Program Start Date 9 January 2027

Fees and Financing

Tuition fees, flexible installment schedules, and available financing options.

Total Programme Fee₹1,45,000
Fee or instalmentAmountDue date / termsNotes
Programme Fee₹1,45,000—GST@18% applicable; example GST ₹26,100; Total Fees ₹ 1,71,100
GST@18%₹26,100—Applied on programme fee
Total Fees₹1,71,100——
Application fee₹1,000To be paid at the time of ApplicationNon-refundable and non-transferable; will not be adjusted against programme fee; GST@18% applicable
1st Instalment₹50,000Within four days of Offer roll-out—
2nd Instalment₹50,0003rd February, 2027—
3rd Instalment₹45,0003rd March, 2027—

Fee notes

Taxes and total: GST@18% applicable (example: Programme Fee ₹1,45,000; GST ₹26,100; Total ₹1,71,100). Application fee is ₹1,000 payable at application time and is non-refundable and non-transferable and will not be adjusted against programme fee. All fees must be submitted to the IITD CEP account; receipt issued by IIT Delhi CEP Accounts. Withdrawal & refund: withdraw within 15 days from programme start date → 80% of total fee received will be refunded (tax amount paid will not be refunded on the paid amount). Withdrawals after 15 days from programme start date are not eligible for any refund. Refund requests must be emailed to cepaccounts@admin.iitd.ac.in and icare@timespro.com; refunds processed within 30 working days from receipt of withdrawal request. Loan and EMI options are services offered by TimesPro; IIT Delhi is not responsible for them.

Frequently Asked Questions

Common queries about the program, admissions, curriculum, and policies.

The CEP, IIT Delhi Executive Certificate in Agentic AI Systems (Foundation to Deployment) is a 6-month programme designed to equip professionals with the skills to design, develop and deploy autonomous AI systems for real-world enterprise applications.

The CEP, IIT Delhi Executive Certificate in Agentic AI Systems (Foundation to Deployment) is suitable for graduates and working professionals with a technical background and an interest in Artificial Intelligence, Machine Learning, Generative AI or related domains.

The CEP, IIT Delhi Executive Certificate in Agentic AI Systems (Foundation to Deployment) covers LLM foundations, autonomous AI agents, multi-agent systems, Retrieval-Augmented Generation (RAG), AI TRiSM, LLMOps and production deployment.

The CEP, IIT Delhi Executive Certificate in Agentic AI Systems (Foundation to Deployment) is a 6-month programme delivered in a direct-to-device learning format.

Yes. The CEP, IIT Delhi Executive Certificate in Agentic AI Systems (Foundation to Deployment) includes practical learning and an end-to-end capstone project, enabling learners to apply agentic AI concepts to real-world use cases.

Generative AI primarily generates content or responses, while Agentic AI enables AI systems to autonomously reason, plan, use tools and execute multi-step tasks to achieve defined objectives. The programme focuses on building and deploying such agentic AI systems.

Certificate Details

CEP, IIT Delhi Certificate of Successful Completion (issued as e-Certificate). Conditions: minimum 50% marks in evaluation and 70% overall attendance required; Certificate of Participation issued if evaluation criterion not met but attendance requirement met.

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