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Turn one AI workflow into an automated multi-agent system
Advanced Certification inAI: From ML Foundations to Agentic AI
Everything between ML and agents, in one programme.
Indian Institute of Technology Delhi
Continuing Education Programme (CEP)
QS World 2027 Southern Asia
NIRF 2025 Engineering
One connected programme covering everything from maths and ML to LLMs, RAG and multi-agent systems.
Learn to build AI systems that retrieve, use tools, remember and act, and know how to test and secure them.
Learn from IIT Delhi AI faculty in live sessions, and earn a certificate from CEP, IIT Delhi.
Admissions OpenLIMITED SEATS
Get the full programme details
Tell us about yourself and pick a time to talk.
- Batch starts
- 15 February 2027
- Duration and mode of learning
- 6 months (Online live + optional IITD immersion)
- Industry-grade projects
- 6 projects and 1 final capstone
- Eligibility
- Final-year students & STEM graduates with programming exposure
Programme overview
From maths first principles to the AI frontier
Learn everything it takes to work as an AI engineer, from the maths to the agents. The tools will keep changing. The engineers who understand the foundations will be the ones who adapt. This programme takes you from maths and ML through LLMs, RAG and multi-agent systems, so you can build AI systems and stand behind how they work.
- 01
Build the data and ML foundation
Maths foundations, SQL, NoSQL and vector databases, then machine learning and deep learning: from regression and ensembles to CNNs, LSTMs and Transformers.
- 02
From generative models to agents
VAEs, GANs and diffusion, LLM fine-tuning and RLHF, prompt engineering and RAG, then autonomous agents with tool use, MCP, memory and multi-agent orchestration.
- 03
Ship agents reliably
Reason about agent economics, guardrails, prompt-injection defence and evaluation, and converge on a live, defended agentic system at the Campus Immersion.
Career pathways
Job roles you may explore post the programme
The shift from classical ML to generative and agentic AI has opened an entirely new class of engineering, research, and product roles. Roles listed are indicative, not a guarantee of employment. CEP, IIT Delhi does not provide placement assistance.
10x
Automate repetitive workflows with intelligent AI agents
80%+
Report higher productivity with AI
+280%
Year-on-year growth in agentic-AI job postings in 2026
Machine Learning Engineer
Built on the Machine Learning and Deep Learning modules: own models end-to-end, from optimisation and training to deployment, evaluation, and monitoring.
Data Scientist
Grounded in the Data Science Essentials and ML modules: frame hypotheses, run experiments, design evaluations, and turn data into decisions.
Deep Learning Engineer
Maps to the Deep Learning module: CNNs, LSTMs, and Transformers with attention. Build and explain neural systems for vision, sequence, and language tasks.
Generative AI Engineer
Draws on the Generative AI module: LLM architecture, fine-tuning, RLHF, prompting, and retrieval-augmented generation to ship grounded GenAI features.
AI Agent Engineer
Built on the Agentic AI Systems module: the ReAct loop, tool use, MCP, memory, and multi-agent orchestration for the fast-emerging AI-agents category.
Applied AI / LLM Engineer
Draws on the Generative AI and Agentic AI Systems modules: put LLMs to work in real products with fine-tuning, prompting, RAG, tool use and function calling.
AI Research Engineer
Grounded in the maths foundations, Deep Learning and Generative AI modules: Transformers, attention, diffusion and RLHF, turning research ideas into working models.
AI Reliability & LLMOps Engineer
Maps to the Agent Economics & Reliability module: guardrails, prompt-injection defence, evaluation, cost/latency routing, and observability at scale.
Companies hiring for these roles
Programme faculty
Learn ML and Agentic AI from IIT Delhi’s AI faculty, live.
Three IIT Delhi faculty lead the programme, working across machine learning, applied AI, and data-driven modelling, from core research to real-world engineering and business systems.
Machine Learning & Optimisation
Prof. Manojkumar Ramteke
Professor, Dept. of Chemical Engineering & Associate Professor, Yardi School of Artificial Intelligence, IIT Delhi
Ph.D. from IIT Kanpur. Research in machine learning, optimisation and evolutionary algorithms, applied to data-driven modelling and AI-based decision systems. 1,300+ citations, h-index 18.
Machine Learning & Deep Learning
Prof. Hariprasad Kodamana
Associate Professor, Dept. 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, with a focus on AI for engineering systems.
Applied ML & Business Intelligence
Prof. Agam Gupta
Associate Professor, Dept. of Management Studies (DMS) & 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. IIT Delhi Teaching Excellence Award.
Who should enrol
Built for learners moving into AI
Admission is selective. Candidates are admitted by IIT Delhi Programme Coordinators 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. Minimum academic requirement: 50% marks in Class 12 Mathematics, or a graduation in Mathematics, Statistics or relevant areas with 50% marks or more.
01
Core engineering & computing students
- Final year students, or graduates in CSE, IT, ECE, EE and allied disciplines.
02
B.Sc / BCA students
- In Mathematics, Statistics, Computing, or Data Science.
03
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.
Curriculum
From first principles to your first real model, and on to the frontier
Six modules, 100+ hours of live teaching sessions plus hands-on labs, and an optional 2-day campus immersion at IIT Delhi. Every module ends in a working artefact: a model or system you can point to, defend, and reuse.
Phase 1 · Data & ML
Module 1 · Data and ML · 16 hrsModule 1 · 16 hrsData Science Essentials12h live · 4h hands-on. Maths foundations, data tooling and a Python primer.Linear AlgebraProbabilitySQLNoSQLVector DatabasesPython
How this module is helpful
Maths foundations
Linear algebra & probability · data measures, distributions & estimation.
Tooling & Python
SQL, NoSQL & vector databases · storytelling and business dashboards · Python primer.
What you ship
A queryable data foundation with a business dashboard on top.
Want to dive deeper into the details?
Module 2 · Data and ML · 16 hrsModule 2 · 16 hrsMachine Learning12h live · 4h hands-on. Optimisation, regression, ensembles and clustering.OptimisationRegressionRandom ForestsBoostingK-means
How this module is helpful
Optimisation & regression
Gradient & search-based optimisation · regression and derivatives.
Ensembles & clustering
Trees, random forests & boosting · hierarchical and K-means clustering.
What you ship
Trained regression, ensemble and clustering models with their evaluations.
Want to dive deeper into the details?
Tools you will learn with us
Ready to build real AI systems with IIT Delhi?
Projects
Six projects, building to one Agentic AI application you defend
Every module ends in a working project you can add to your portfolio. The six projects build towards a capstone agentic AI application with retrieval, tools, memory and guardrails, which you present at the end of the programme. Capstone topics and tools are indicative. Programme faculty may update them to reflect current industry needs at time of delivery.
Campus Immersion at Indian Institute of Technology - Delhi
An optional 2-day campus immersion at IIT Delhi, where you present your final capstone, a live agentic AI application, in person. Travel and accommodation costs are borne by the learner. A hybrid option is open to candidates who are unable to come on campus.
Hands-on capstone presentation
Present and defend your agentic AI application at IIT Delhi.
Faculty interaction
Talk directly to the IIT Delhi faculty who lead the programme.
Peer networking
Build a lasting network with a cohort of engineers and working professionals.
Ready to build and defend your agent at IIT Delhi?
Learning outcomes
You will not just use AI. You will build with it.
Every module ends in a working artefact and a capability you can defend. By the end of the programme you can take an AI system from mathematical foundations to a deployed, autonomous agent, and reason about its cost, reliability and safety.
Build the data & ML foundation
Train deep neural networks
Build generative models
Engineer RAG pipelines
Design autonomous agents
Ship agents reliably
About IIT Delhi
Backed by an Institution of National Importance
Founded in 1961, IIT Delhi is one of India's original IITs and an Institute of Eminence, and has shaped India's research, industry and entrepreneurship for over six decades. Ranked #118 globally in the QS World University Rankings 2027, the highest ever for any Indian institution, with a 320-acre campus in Hauz Khas, South Delhi.
#1
QS World University Rankings 2027, Southern Asia
#2
NIRF 2025, Engineering, India
65,000+
Alumni, including ~5,000 PhDs, and 10,000+ industry leaders worldwide
2,500+
Startup founders shaped, including Flipkart and Zomato
Certificate
A credential issued in the IIT Delhi name
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. Verifiable e-certificate only. No printed copy is issued.
Certificate of Successful Completion
Awarded to candidates who score at least 50% marks overall and have a minimum attendance of 70%.
Certificate of Participation
Awarded to candidates who score less than 50% marks overall and have a minimum attendance of 80%.
Ready to earn an IIT Delhi CEP certificate in AI?
IIT Delhi and Varsity
See how we compare
How this programme compares with other AI and machine learning programmes.
Key pillars
Varsity with IIT Delhi
Other AI programmes
Learning approach: Build-first, every module ends in a working artefact
Practical learning: Live lectures, tutorials & hands-on labs
Projects: 6 projects + a final capstone
Scope: End-to-end, from maths foundations and ML to autonomous agents
Stack: Python, SQL/NoSQL & vector databases, LLMs & MCP
Agentic AI: Dedicated modules on agents, economics & reliability
Faculty: Taught by IIT Delhi faculty
Learning experience: 6 months live online + optional campus immersion
Career acceleration & preparedness
Prepare for careers with InterviewBit
A dedicated role-readiness layer runs alongside the curriculum, offered by InterviewBit (Varsity). Practice sessions to bolster the technical depth you build in class with the soft skills that close the role. Powered by AI: mock interviews with distinct AI interviewers for each round, plus an AI resume builder and review trained on AI hiring patterns.
01Personal branding
Networking platforms and habits that get AI talent noticed.
LinkedIn profile and presence review.
Engagement and active-networking sessions to bolster reach.
02Business communication
Effective communication as a leader.
Constructive feedback and team alignment.
Non-verbal communication and executive presence.
03Job-search strategy
Resume engineered to clear ATS filters.
Tailored versions for different roles and industries.
AI resume builder and review, trained on AI hiring patterns.
04Interview preparation
AI mock interviews across four rounds: tech screen, system design, behavioural and customer pitch.
Pre-interview etiquette and top-down approach.
In-interview pitch and interviewer mindset.
Post-interview reflection and follow-up.
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
- 13 February 2027Applications close
- 14 February 2027Batch starts
- August 2027Batch ends
Admission process
- 1Submit application: ~10-minute online form via the CEP, IIT Delhi programme page. ₹1,000 + GST application fee. The application fee is non-refundable and non-transferable.
- 2Shortlist & screening: shortlisting and vetting by IIT Delhi Programme Coordinators. Shortlisted candidates are intimated by email.
- 3Offer & payment: confirm your seat by paying the first instalment within 4 days of offer rollout.
- 4Orientation: join the live orientation. Meet your faculty, cohort and learning team. Start building.
Starting at
₹7,198/month
Total ₹1,65,000*plus 18% GST, applicable
One investment, a career-long return. An IIT Delhi credential, and the applied ML-to-agentic AI skills to put your learning to work from day one. Your fee covers 100+ hours of live sessions across six modules, the optional 2-day campus immersion with a hands-on capstone presentation at IIT Delhi, career support by InterviewBit (personal branding, mock interviews, prep plan) and a certificate from CEP, IIT Delhi.
Payment
Application fee (not refundable)1,000 + GSTWhile filling the application form
Instalment 130,000 + GSTWithin 4 days of offer roll-out
Instalment 21,20,000 + GSTOne-shot / EMI · by 10 Feb 2027
Instalment 315,000 + GSTBy 1 Mar 2027
Application fee is separate from the main programme fee and is non-refundable. Instalment 2 may be paid one-shot or via EMI, basis learner's preference; for EMIs, interest 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 should be submitted in the IIT Delhi CEP account only; details will be shared post-selection.
- Receipts are issued by the IIT Delhi CEP account and are downloadable from the CEP portal.
- Loan and EMI options are services offered by Varsity by InterviewBit; IIT Delhi is not responsible for the same.
- The application fee is non-refundable, non-transferable, and is not adjusted against the total programme fee.
- CEP, IIT Delhi is not responsible for any career-related support.
Withdrawal and refund
- 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.
FAQ
The questions you are already asking
The honest answers to the questions that might be holding you back.
Who is this programme for?
Core engineering and computing students (final year) or graduates in CSE, IT, ECE, EE and allied disciplines; B.Sc / BCA students in Mathematics, Statistics, Computing, or Data Science; and STEM graduates or post-graduates with demonstrated programming exposure. Professionals with coding or programming experience are also welcome. The minimum academic requirement is 50% marks in Class 12 Mathematics, or a graduation in Mathematics, Statistics or relevant areas with 50% marks or more.
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 IIT Delhi Programme Coordinators based on eligibility and a screening review. Shortlisted candidates are intimated by email.
Ready to take your first step towards success?
A counsellor will talk you through the eligibility criteria, the live online schedule and how the instalments work, before you commit to anything.
Applications close 10 February 2027
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A counsellor calls you back within 24 hours
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