Mode and time commitment
- Mode
- Live Online & Campus Immersion
- Duration
- 6 Months
- Learning hours
- 84
Offered by Indian Institute of Technology Delhi
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.
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).
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
Core capabilities, strategic skills, and managerial frameworks you will acquire.
Essential delivery mode, timeline, and candidate eligibility at a glance.
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
- RAG in Action: Enterprise Search & AI Knowledge Systems
- LangGraph: StateGraph, Nodes, Conditional Routing & Checkpointing
- 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
- LangSmith: Tracing, Debugging Multi-Step Failures & Agent Run Replay
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
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).
Format, class schedules, campus immersion details, and evaluation criteria.
Saturday · 10:00 AM – 1:00 PM · Weekly · IST
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.
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 criteria, work experience requirements, and admission steps.
Key application deadlines, batch commencement dates, and intake schedules.
| Application Deadline | 31 October 2026 |
|---|---|
| Program Start Date | 9 January 2027 |
Tuition fees, flexible installment schedules, and available financing options.
| Fee or instalment | Amount | Due date / terms | Notes |
|---|---|---|---|
| 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 | ₹1,000 | To be paid at the time of Application | Non-refundable and non-transferable; will not be adjusted against programme fee; GST@18% applicable |
| 1st Instalment | ₹50,000 | Within four days of Offer roll-out | — |
| 2nd Instalment | ₹50,000 | 3rd February, 2027 | — |
| 3rd Instalment | ₹45,000 | 3rd March, 2027 | — |
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.
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.