1 → 10
Turn one AI workflow into an automated multi-agent system
Certificate in Generative AIMaster End-to-End AI Engineering: Gen AI, Agentic AI & FDE
Build and ship real AI systems, from LLMs, RAG, Agentic AI and production deployment. Build skills for real-world AI roles.
Indian Institute of Technology Delhi
Continuing Education Programme (CEP)
QS World 2027 Southern Asia
NIRF 2025 Engineering
Master AI from foundations to advanced systems and build 8 industry grade projects.
Work with 15+ industry tools and ship real AI systems from prototype to production.
Learn from Prof. Tanmoy Chakraborty, Rajiv Khemani Young Faculty Chair in AI at IIT Delhi.
Admissions OpenFew Seats left
Get the full programme details
Tell us about yourself and pick a time to talk.
- Batch starts
- 31 October 2026
- Duration and mode of learning
- 6 months (Online live + optional IITD immersion)
- Industry-grade projects
- 6 projects, 1 domain mission and 1 capstone
- Eligibility
- Engineering, B.Sc / BCA or STEM graduates with programming exposure
Programme overview
The one skill every industry is racing to hire
As a tech professional, knowing how to use AI is no longer enough. The real advantage lies in knowing how to build and engineer AI systems end to end. Go beyond prompting and AI tools to understand what powers modern AI, build LLMs and Generative AI systems, develop Agentic AI apps, and take them from prototype to production through Forward Deployed Engineering.
- 01
Understand AI from first principles
Learn the mathematics, neural networks, Transformers, LLMs and fine-tuning that power modern AI.
- 02
Build Gen AI & Agentic systems
Build RAG pipelines, LLM applications, AI agents, tool use, memory and multi-agent systems.
- 03
Ship it for a Client (FDE Capstone)
Apply FDE principles to take AI systems from a real-world problem to deployment, evaluation, monitoring and handover.
Career pathways
One programme. Eight career paths
Master AI engineering end to end, then take your skills in the direction you want to grow. Build across Generative AI, LLMs, Agentic AI and FDE, giving you the technical foundation to explore diverse opportunities across the evolving AI ecosystem.
10x
Automate repetitive workflows with intelligent AI agents
80%+
Report higher productivity with AI
25%
Of day-to-day work decisions could be made autonomously by AI agents
Forward Deployed AI Engineer
Built on the FDE Studio thread: scope a client problem, wire Gen AI and agents into real client systems, then ship, monitor and hand over production AI.
Agentic AI Engineer
Built on Agentic AI Depth: LangGraph orchestration, tool use, MCP, memory, human-in-the-loop approvals, and agent evaluation, safety and deployment.
Gen AI / LLM Engineer
Built on the LLM, fine-tuning and RAG modules: design, fine-tune, evaluate and ship LLM-powered applications from prompt and retrieval pipelines to production.
AI Research Scientist
Grounded in the Transformer, pretraining, and RLHF modules: prototype novel architectures and turn research into production-grade systems.
Machine Learning Engineer
Built on the training loop, fine-tuning, and evaluation you practise here: own models end-to-end from training to deployment and monitoring.
Data Scientist, Generative AI
Draws on the ML foundations and generative techniques in the curriculum: run experiments, design evaluations, and select models for real problems.
NLP Engineer / Scientist
Maps directly to the NLP module: language modelling, parsing, and embeddings powering retrieval, summarisation, and extraction on transformer stacks.
Vision Engineer, Gen AI for Vision
Applies the Generative AI for Vision module: Vision Transformers, CLIP/BLIP, and SAM-family models across image, video, and multimodal tasks.
Companies hiring for these roles
Faculty & coordinators
Taught by a researcher who defines the field
The programme is led by Programme Coordinator Prof. Tanmoy Chakraborty — an active author, editor, and award-winner in NLP, LLMs, and computational social science research.
Senior Faculty, Department of Electrical Engineering
Prof. Tanmoy Chakraborty
Electrical Engineering & Yardi School of AI, IIT Delhi · Full Professor
Builds economical, interpretable and adoptable language models, and leads the LCS2 lab. Author of the textbook Introduction to Large Language Models.
Who should enrol
Built for tech professionals ready to become AI engineers
Admission is selective. Candidates are admitted by the IIT Delhi Programme Coordinator based on eligibility and a screening review. You will fit if you have a working foundation in engineering, computing, or a technical discipline. No prior AI experience required.
01
Core engineering & computing students
- Final or pre-final year, or graduates in CSE, IS, EIE, ECE, EE, IT and related disciplines.
02
Professionals with Coding Experience
- Working professionals with coding or programming experience who want to move into AI engineering.
03
STEM graduates / post-graduates with programming exposure
- Graduates or post-graduates in any STEM field with demonstrated programming exposure.
Industry-vetted curriculum
From maths first principles to the agentic frontier
Two stages: Gen AI Mastery & Forward Deployed Fluency, then Agentic AI Depth. 15 modules and 100+ live hours of theory and tutorials, every Saturday. Open any module to see what each session covers.
Phase 1 · Foundations
Module 1 · Foundations · 15 hrsModule 1 · 15 hrsMaths for Gen AI & Agentic AIBuild the linear algebra, probability and optimization foundations that are essential prerequisites for ML and deep learning.Linear AlgebraProbabilityOptimizationMachine LearningNeural Networks
What each session covers
Linear Algebra & Probability Basics
Linear Algebra: vectors, matrices, matrix multiplication, dot product, idea of rank, SVD (very high level); Probability: basic definitions.
Probability & Optimization
Bayes theorem, idea of distribution; optimization: first and second order conditions, idea of gradient descent.
Introduction to ML
ML intro and terminology; linear regression; classification: logistic regression idea.
Evaluation & Unsupervised Learning
Overfitting and regularization; evaluation measures; high-level ideas of K-Means and PCA.
Neural Networks
Neural networks and backpropagation.
Want to dive deeper into the details?
Module 2 · Foundations · 12 hrsModule 2 · 12 hrsNatural Language ProcessingUnderstand the classical NLP pipeline: text processing, statistical language models, tagging, parsing and semantics.StemmingLanguage ModelsPOS TaggingParsingSemantics
What each session covers
Introduction to NLP
Intro, stemming, Porter stemmer, lemmatization, edit distance.
Statistical Language Models
Language modelling, n-gram, smoothing, evaluation, perplexity.
POS Tagging & Parsing
POS tagging: HMM, Viterbi, evaluation; constituency vs dependency parsing, CFG, PCFG, CKY algorithm.
Semantics: Lexical & Distributional
Lexical similarity: words and senses; distributional similarity, vector space model, PMI, MI, TF-IDF.
Want to dive deeper into the details?
Module 3 · Foundations · 6 hrsModule 3 · 6 hrsNeural Language ModelsRepresent text with dense embeddings and model sequences using CNN and RNN architectures.Word2VecGloVeCNNRNNLSTMGRU
What each session covers
Word Representation
One-hot encoding, Word2Vec, GloVe, evaluation.
CNN & RNN++
CNN for text; RNN, LSTM, GRU.
Want to dive deeper into the details?
Module 4 · Foundations · 6 hrsModule 4 · 6 hrsTransformer ArchitectureUnderstand attention and the complete transformer encoder-decoder architecture from first principles.Seq2SeqBeam SearchAttentionEncoder-Decoder
What each session covers
Transformer I: Seq2Seq, Beam Search & Attention
Seq2Seq, beam search, attention mechanism.
Transformer II: Encoder-Decoder
Transformer encoder, decoder.
Want to dive deeper into the details?
Tools you will learn with us
Ready to build and ship AI systems with IIT Delhi?
Projects
Built to ship, not just to study
Every module ends with a working artefact. Six graded builds accumulate into a portfolio-grade body of work, the kind that lets you walk into a Gen AI interview and show, not tell.
Campus Immersion at Indian Institute of Technology - Delhi
An optional immersion on the IIT Delhi campus, where your final capstone is presented live. Travel and accommodation costs are paid by the learner.
Demo Day
Each team pitches its live agent to a mock 'client' panel with a demo, architecture, prompt flow, evaluation results, and business impact.
Faculty interaction
Talk directly to the IIT Delhi faculty who drive the curriculum.
Peer networking
Build a lasting network with a cohort of professionals who chose to build with AI, not just use it.
Ready to present your AI agent live at IIT Delhi?
Learning objectives
What you'll learn in End-to-End AI Engineering
Go beyond using AI tools. Learn how modern AI systems work, how to build them, and how to take them from LLMs and Generative AI to Agentic AI and production.
Build a strong AI foundation
Build and fine-tune LLMs
Build RAG applications
Engineer Agentic AI systems
Work with multimodal & efficient AI
Forward Deployed Engineering
Certificate
An IIT Delhi Continuing Education Programme 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. Only e-certificates will be issued by CEP, IIT Delhi, for this programme.
Certificate of successful completion
Awarded to candidates who score at least 60% marks overall and have a minimum attendance of 80%.
Certificate of participation
Awarded to candidates who score less than 60% marks overall and have a minimum attendance of 80%.
Ready to earn a certificate from CEP, IIT Delhi?
IIT Delhi and Varsity
See how we compare
How this programme compares with other AI programmes.
Key pillars
Varsity with IIT Delhi
Other AI programmes
Learning approach: First principles → Build → Ship
Live theory + tutorials every Saturday
7 Projects + Final Capstone
FDE Studio sprints on one client build
Hands-on with 18 production grade tools
Dedicated Agentic AI track
Faculty led by IIT Delhi
Learning experience + Optional Campus Immersion
Career readiness by Varsity
Get ready for the roles you came for
A dedicated role-readiness layer runs alongside the curriculum, offered by Interviewbit (Varsity). Practice sessions build on your technical depth with the client-facing skills Forward Deployed roles demand.
01Job-search strategy
Resume engineered to clear ATS filters
Tailored versions for Gen AI, agentic AI and FDE roles
Build, score and refine your resume with an AI reviewer trained on Gen AI & FDE hiring patterns
02Interview preparation
AI mock interviews for Gen AI, agentic AI and FDE roles across tech screen, system design, behavioural and customer pitch rounds
Pre-interview etiquette and top-down approach, and the in-interview pitch, including FDE client-case rounds
Post-interview reflection and follow-up
03Personal branding
Networking platforms and habits that get AI talent noticed
LinkedIn profile and presence review
Engagement and active-networking sessions to bolster reach
04Business communication
Client discovery, stakeholder updates and demo storytelling
Effective communication as a leader
Constructive feedback and team alignment
Non-verbal communication and executive presence
Role-readiness facility is offered by Interviewbit (Varsity). IIT Delhi is not responsible for the same. CEP, IIT Delhi does not provide placement assistance or alumni status.
Admissions
Know important dates and the admission process
Four steps from your application to orientation.
Batch calendar
- 29 October 2026Applications close
- 31 October 2026Batch starts
- May 2027Batch ends
Admission process
- 1Submit a roughly 10-minute application on the IIT Delhi Continuing Education Programme page. A ₹1,000 application fee plus 18% tax applies, and it is not refundable.
- 2The Programme Coordinator at IIT Delhi reviews your application against the eligibility criteria. Shortlisted candidates are informed by email.
- 3Your offer letter is released. Confirm your seat by paying the first instalment of ₹30,000 plus tax within four days of the offer.
- 4The batch begins on 31 October 2026, with technical orientation from 10 October. Join the live orientation, meet your faculty, cohort and learning team, and start building.
- 5Refund policy: withdraw within 15 days of the start date for an 80% refund of the fee received. Tax is not refunded, and there is no refund after 15 days.
Starting at
₹8,338/month
Total ₹1,69,000*plus 18% goods and services tax
One investment. A career-long return. An IIT Delhi credential, and the applied AI & FDE skills to put your learning to work from day one.
Payment
Application fee1,000 + tax (not refundable)
Instalment 1 30,000 + tax(within 4 days of offer)
Instalment 2 1,39,000 + tax(by 29 Oct' 26)
The full programme fee must be paid before the programme starts (by 29 Oct 2026). Instalment 2 can be paid as a one-shot payment or via an EMI loan, basis the learner's preference; for EMIs, interest applies as per NBFC terms & tenure.
Refund policy
Within 15 days80% refundTax is not refunded. Processed within 30 working days.
After 15 daysNo refund
Note
- All fees must be paid into the IIT Delhi Continuing Education Programme account only. The account details are shared with you after selection.
- The receipt is issued by the IIT Delhi Continuing Education Programme account and can be downloaded from the programme portal.
- Loan and monthly instalment options are services offered by InterviewBit (Varsity). IIT Delhi is not responsible for them.
- Once paid, the fee cannot be transferred.
Withdrawal and refund
- You can withdraw within 15 days of the programme start date. 80% of the total fee received is refunded. The tax you paid is not refunded.
- If you withdraw more than 15 days after the programme starts, you are not eligible for any refund.
- To withdraw, email cepaccounts@admin.iitd.ac.in and refunds_varsity_del@interviewbit.com stating that you wish to withdraw. Any refund due is processed within 30 working days of us receiving your request.
Blogs
What AI and forward deployed engineers are reading
Short reads on building with AI and agents, and what the forward deployed engineer role looks like in practice.
FAQ
The questions you are already asking
The honest answers to the questions that might be holding you back.
Who is this programme for?
It is built for engineering and computing students and graduates (CSE, IS, EIE, ECE, EE, IT), B.Sc/BCA students in Mathematics, Statistics, Computing or Data Science, and STEM graduates or professionals with programming exposure who want to build Generative AI and agentic systems, not just use them.
Do I need prior AI or machine-learning experience?
No. No prior AI/ML experience is required; the curriculum builds from foundational mathematics upward. You do need a working foundation in engineering, computing or a technical discipline, and demonstrated programming exposure.
How selective is admission?
Admission is selective. Candidates are admitted by the IIT Delhi Programme Coordinator based on eligibility and a screening review; shortlisted candidates are intimated by email.
Ready to Upskill in Generative AI, Agentic AI & FDE
What does the Generative AI, Agentic AI & FDE programme cover?
The programme takes you from Generative AI and LLM fundamentals to advanced Agentic AI and Forward Deployed Engineering (FDE). You’ll learn to build Gen AI applications, engineer AI agents, and deploy AI solutions for real-world business problems through hands-on projects and a final FDE capstone.
Ready to take your first step towards success?
A counsellor will talk you through the eligibility criteria, the live Saturday schedule and how the monthly instalments work, before you commit to anything.
Applications close 29 October 2026
Request a callback
A counsellor calls you back within 24 hours
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