Advanced Certification in AI: From ML foundations to Agentic AI (Batch-1)
Features
Programme Overview
The Advanced Certification in AI: From ML Foundations to Agentic AI is a six-month programme offered by the Continuing Education Programme (CEP), IIT Delhi. The programme provides a comprehensive learning journey from data science and machine learning fundamentals to deep learning, Generative AI, and Agentic AI systems.
Through 100+ hours of live online sessions, hands-on projects, and practical tutorials, participants will learn to build machine learning models, develop Large Language Model (LLM) applications, design Retrieval-Augmented Generation (RAG) pipelines, and create autonomous AI agents using tools, memory, and orchestration techniques.
The programme culminates in a capstone project focused on building and deploying an end-to-end Agentic AI application. An optional two-day campus immersion at IIT Delhi provides an opportunity to present the capstone project. The curriculum is designed to develop practical AI engineering skills applicable to real-world industry challenges.
₹ 1,65,000 + 18 % GST
Class Schedule
Weekend Classes
Eligibility Criteria
Core engineering & computing students Final year students, or graduates in CSE, IT, ECE, EE and allied disciplines.
B.Sc / BCA students In Mathematics, Statistics, Computing, or Data Science.
STEM graduates / post-graduates with programming exposure Graduates or post-graduates in any STEM field with demonstrated programming exposure. Professionals with coding or programming experience are also welcome. No prior AI/ML experience required; the curriculum builds from foundational mathematics upward.
Minimum academic requirement A minimum of 50% marks in Class 12 Mathematics, OR a graduation in Mathematics, Statistics or relevant areas with marks greater than or equal to 50%.
Programme Highlights
6 -Month Programme – Live Online Learning.
100 + Hours Of Live Sessions – Live Teaching Sessions And Tutorials.
Comprehensive AI Curriculum – Data Science, Machine Learning, Deep Learning, Generative AI Aur Agentic AI.
Hands-on Learning – Practical Projects Aur Working AI Artefacts.
Generative AI & LLMs – Transformers, LLM Fine-tuning, RLHF Aur RAG Pipelines.
Agentic AI Systems – Autonomous Agents, Tool Use, Memory, MCP Aur Multi-agent Orchestration.
Capstone Project – Build And Deploy An End-to-end Agentic AI Application.
IIT Delhi Faculty – Programme Taught By IIT Delhi Faculty.
Optional Campus Immersion – Two-day Campus Immersion At IIT Delhi, Including Capstone Presentation.
Programme Modules
Maths foundations: linear algebra & probability
Data measures, distributions & estimation
SQL, NoSQL & vector databases
Python primer, storytelling & business dashboards
12H LIVE · 4H HANDS-ON
Gradient & search-based optimisation
Regression and derivatives
Trees, random forests & boosting
Hierarchical and K-means clustering
12H LIVE · 4H HANDS-ON
Deep feedforward neural networks
Convolutional neural networks (CNNs) & LSTM networks
Transformers & attention mechanisms
Explainable AI
12H LIVE · 4H HANDS-ON
VAEs, GANs & diffusion models
LLMs: architecture, training, fine-tuning & RLHF
Prompt engineering & in-context learning
RAG: embeddings, vector stores & chunking strategies
16H LIVE · 4H HANDS-ON
Perceive-plan-act-learn loop & the ReAct pattern
Tool use, function calling & Model Context Protocol (MCP)
Agent memory: short- and long-term
Single- & multi-agent orchestration, agentic RAG
Evaluation, guardrails & observability
18H LIVE · 4H HANDS-ON
Cost per task, latency vs quality & caching
Routing & model selection
Guardrails, prompt-injection defence & human-in-the-loop
Evaluating agents: task success & trajectory quality
8H LIVE · 2H HANDS-ON
Build & Deploy an Agentic AI Application
A working, end-to-end AI agent for a real domain (fintech, healthtech, e-commerce, SaaS, or enterprise operations), shipped with retrieval, tools, memory & guardrails, and presented at the Campus Immersion, IIT Delhi.
Learning Outcomes
01. Build the data & ML foundation
Mathematics foundations
Introduction to databases
Classical ML
02. Train deep neural networks
Feedforward nets
CNNs and LSTMs
Transformers, attention and explainable AI
03. Build generative models
VAEs, GANs and diffusion
LLM architecture, training and fine-tuning
04. Engineer RAG pipelines
Embeddings and vector stores
Chunking strategies
Lab: build a RAG pipeline
05. Design autonomous agents
Agent loop and ReAct
Tool use and MCP
Memory and orchestration
Guardrails and prompt-injection defence
Programme Coordinator
Professor. Manojkumar Ramteke
Professor · Department of Chemical Engineering, IIT Delhi
& Associate Professor · Yardi School of Artificial Intelligence, IIT Delhi
Ph.D. from IIT Kanpur. Research in machine learning, optimization, and evolutionary algorithms, applied to data-driven modelling and AI-based decision systems.
Impact · 1,300+ citations · h-index 18
Professor Hariprasad Kodamana
Associate Professor · Department of Chemical Engineering & Yardi School of Artificial Intelligence, IIT Delhi
Ph.D. from IIT Bombay, postdoctoral research at the University of Alberta. Research spans machine learning, deep learning, and data-driven modelling.
Focus · Machine Learning · Deep Learning · AI for engineering systems
Professor Agam Gupta
Associate Professor · Dept. of Management Studies & Yardi School of Artificial Intelligence, IIT Delhi
Fellow, IIM Calcutta. Works at the interface of technology and business: applied machine learning, business intelligence, and data visualization.
Honours · IIT Delhi Teaching Excellence Award · Applied ML for industry
Programme Sample Certificate
On completion, participants receive a certificate from the Continuing Education Programme (CEP), IIT Delhi. Two certificate types are issued, based on attendance and assessment performance.
TWO CERTIFICATE TYPES
TYPE 01: Certificate of Successful Completion
ELIGIBILITY
Awarded to candidates who score at least 50% marks overall and have a minimum attendance of 70%.
TYPE 02: Certificate of Participation
ELIGIBILITY
Awarded to candidates who score less than 50% marks overall and have a minimum attendance of 80%.
FORMAT & WHAT IS ON IT
Issued by
Continuing Education Programme (CEP), Indian Institute of Technology Delhi.
Format
Verifiable e-certificate only. No printed copy is issued.
Installment Schedule
Programme Fee INR 1,65,000 + 18% GST
Instalment | Date | Amount (₹)** |
Application Fee | Application Fee | 1,000 + 18 % GST |
1st Instalment | Within 4 days of the release of an offer letter | 30,000 + 18 % GST |
2nd Instalment | 13th February, 2027 | 1,20,000 + 18 % GST |
3rd Instalment | 1st March, 2027 | 15,000 + 18 % GST |
Note:
*GST @ 18% will be charged extra in addition to the fees
The application fee of INR 1,000/- + 18% GST is non-refundable and non-transferable. This fee is in addition to the programme fee and will not be adjusted against the total programme fee.
Refund Policy
Candidates can withdraw within 15 days from the programme start date. 80% of the total fee received is refunded. The applicable tax amount paid is not refunded. Candidates withdrawing after 15 days from the start of the programme session are not eligible for any refund.
To withdraw, email cepaccounts@admin.iitd.ac.in and refunds_varsity_del@interviewbit.com. Refunds, if applicable, are processed within 30 working days.