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Programs  /  IIT Delhi  /  AI Forward Deployed Engineer
Indian Institute of Technology Delhi
IIT Delhi
Continuing Education Programme

AI Forward Deployed Engineer

NIRF 2024 · #2 Engineering QS World 2025 · Top 200

Become the engineer who ships AI into the real world, from models to deployed, production-grade systems. Taught by IIT Delhi faculty and AI practitioners.

3 monthsLive onlineOptional campus immersionStarts Jul 2026
Programme offered by the Continuing Education Programme (CEP), IIT Delhi.
Admissions open

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#2
NIRF 2024, Engineering
Top 200
QS World Rankings 2025
65+ yrs
of engineering excellence
CEP
e-certificate on completion
Learners during a campus session
Programme overview

What this programme is, and who it is for

Most engineers can train a model. Far fewer can put one into production and keep it running. This programme closes that gap, taking you from notebooks to deployed, monitored, scaling AI systems over three months.

Delivered live online with weekend sessions and a campus immersion at IIT Delhi, it pairs faculty-led teaching with hands-on labs and a capstone you ship end to end. Best for professionals with two or more years of experience who already write code.

Curriculum

AI-first, from applied foundations to a deployed capstone

Five build blocks. Expand any module to see what you will actually do.

MODULE 01Foundations of applied AI and ML+

Get everyone to a strong, shared baseline. You will set up clean, reproducible environments and learn to move code out of notebooks into services you can actually ship and maintain, with a quick refresher on the ML fundamentals the rest of the programme builds on.

  • The modern AI/ML stack and where each tool fits
  • Reproducible environments, packaging and dependency management
  • From notebooks to maintainable, testable services
  • ML refresher: training, evaluation and error analysis
  • Calling foundation models and designing your first workflows
MODULE 02Data and model pipelines+

Production AI lives and dies on its data and pipelines. You will build repeatable workflows that version data and models, track experiments, and catch quality and drift problems before they ever reach users.

  • Feature and data engineering for production
  • Experiment tracking and model versioning
  • Reproducible training and evaluation workflows
  • Data validation, drift detection and quality checks
  • Orchestrating multi-step pipelines
MODULE 03LLMs and agentic systems+

Go well beyond calling an API. You will design LLM and agentic systems with retrieval, tools and guardrails, then evaluate them honestly for quality, cost, latency and safety.

  • Prompting, structured outputs and function calling
  • Retrieval-augmented generation and vector stores
  • Tool-use and multi-step autonomous agents
  • Evaluation, guardrails and safety
  • Cost, latency and caching strategies
MODULE 04Deployment, scaling and MLOps+

This is where most teams get stuck, and where this programme spends real time. You will package, serve, scale and monitor models, and set up CI/CD so changes ship safely and roll back cleanly.

  • Packaging and serving models with containers and APIs
  • Orchestration, autoscaling and reliability
  • Monitoring, logging and observability
  • CI/CD for models, with safe rollouts and rollbacks
  • Cost and performance optimisation at scale
CAPSTONEForward-deployed capstone project+

Bring it all together on a real problem. You will scope, build, deploy and present a working AI system end to end, reviewed by faculty and practitioners, and walk away with a portfolio-ready project.

  • Scope a real problem and define success metrics
  • Build, deploy and monitor an end-to-end AI system
  • Iterate with faculty and practitioner reviews
  • Present a portfolio-ready project
IIT Delhi CEP certificate
On completion criteria
Live weekend sessions
Built for working pros
Campus immersion
Optional · on IIT Delhi campus
Deployed capstone
Ship a real system
Why now

AI delivery is the skill in shortest supply

The demand is not for people who understand AI in theory. It is for people who can ship it.

78%
of organisations now use AI in at least one business function
Stanford AI Index, 2025
170M
new roles expected from AI & tech adoption by 2030
WEF Future of Jobs, 2025
$4.8T
projected size of the global AI market by 2033
UNCTAD, 2025
Top 3
AI/ML engineering ranks among India's best-paid tech roles
NASSCOM, 2024
Learning objectives

What you will be able to do

Six capabilities you build and practise through the programme, from first module to capstone.

01

Design and deploy production-grade AI and ML systems

02

Build and integrate LLM and agentic AI workflows

03

Engineer data and model pipelines that scale

04

Monitor, evaluate and improve models in production

05

Apply responsible AI and governance practices

06

Lead AI delivery across cross-functional teams

What you will gain

Concrete outcomes, not vague skills

  • A deployed, portfolio-ready AI system built end to end.
  • An IIT Delhi CEP certificate on meeting completion criteria.
  • Fluency with the modern AI engineering toolchain.
  • A capstone solving a real industry problem.
  • Mentorship from faculty and AI practitioners.
  • Access to career support and a peer network.
A professional presenting a deployed AI application
Tools and technologies

The modern AI engineering toolchain

You build with the tools teams actually deploy on.

Python PyTorch TensorFlow Hugging Face LangChain FastAPI Docker Kubernetes MLflow AWS Vector DBs Git
How you learn

Live, applied and mentored

Live online sessions

Faculty-led weekend classes, attended live online.

Hands-on labs

Build alongside every concept, not after it.

Case studies

Real industry AI problems, dissected.

Capstone

A deployed, end-to-end project you own.

Mentorship

Guidance from faculty and practitioners.

Office hours

Dedicated doubt-solving and review.

Campus immersion

Spend time on the IIT Delhi campus

The programme is almost entirely live online. The campus immersion is an optional in-person add-on: time at IIT Delhi to meet faculty and build with your cohort face to face.

On-campus learning days
In-person sessions and labs inside IIT Delhi facilities.
Face-to-face with faculty
Interact directly with IIT Delhi faculty and mentors.
Peer networking
Build lasting connections with an accomplished cohort.
Campus immersion at IIT Delhi
IIT Delhi · Hauz Khas campus
Structure and schedule

Programme structure

Duration3 months
DeliveryLive online
Session daysWeekends
Effort6–8 hours / week
Campus immersionAt IIT Delhi
Start dateJuly 2026
Who should enrol

Is this for you?

1
Software and data engineers moving into AI delivery roles.
2
ML practitioners who want production and deployment depth.
3
Technical leads owning AI initiatives in their teams.
Eligibility: A graduate with a coding background and around two or more years of work experience. Final eligibility is as per the IIT Delhi CEP notification.
Faculty

Taught by IIT Delhi faculty and AI practitioners

Prof. Arvind Iyer

Prof. Arvind Iyer

Professor, Computer Science & Engineering
PhD, IIT Delhi18+ yrs research
IIT Delhi
Dr. Meera Krishnan

Dr. Meera Krishnan

Programme Coordinator, CEP
Applied ML & MLOps1,200+ learners taught
IIT Delhi CEP
Rohan Desai

Rohan Desai

AI Engineering Leader, Industry
Ex-Big TechShipped AI at scale
Industry mentor

Representative faculty shown; the named programme team is confirmed with IIT Delhi CEP per cohort.

What learners say

Trusted by ambitious professionals

4.8
Average rating across AI programmes
Learners come for the IIT Delhi name and stay for the depth: live faculty teaching, real deployment labs, and mentors who have shipped AI at scale.

"I had trained plenty of models but never shipped one. By the capstone I had a service in production with monitoring. The labs are the closest thing to real on-the-job work I have done in any course."

AM
Aditya Menon
Senior Software Engineer, Bengaluru

"The weekend format meant I never had to pause my job. The campus immersion at IIT Delhi was the highlight, meeting faculty and the cohort in person made the whole thing real."

PN
Priya Nair
Data Scientist, Pune

"As a tech lead I needed to understand MLOps deeply enough to make calls for my team. The deployment and observability modules gave me exactly that vocabulary and confidence."

RG
Rohan Gupta
Engineering Lead, Gurugram

Representative learner feedback shown for illustration; verified cohort testimonials are published as programmes complete.

Fees and admission

Programme fee & EMI

Programme fee₹ 1,50,000
GST (18%)₹ 27,000
Total payable₹ 1,77,000
No-cost EMI options
TenurePer monthTotal
3 months₹ 59,000₹ 1,77,000
6 months₹ 29,500₹ 1,77,000
9 months₹ 19,667₹ 1,77,000
12 months₹ 14,750₹ 1,77,000
No-cost EMI is subject to lender approval. Fees are paid to the IIT Delhi CEP account. Application fee and refund policy are as per the CEP notification.
Admission process

Five simple steps

1
Submit your application through the official link.
2
Screening and shortlisting by IIT Delhi.
3
Receive your offer letter.
4
Pay the fee to confirm your seat.
5
Orientation and cohort start.
Financing: EMI is processed through our NBFC partners. Share your details and a counsellor will walk you through the options that fit you.
Certificate

An IIT Delhi CEP certificate

Sample Certificate of Completion from CEP, IIT Delhi

On meeting the completion criteria, you receive an e-certificate issued by the Continuing Education Programme (CEP), IIT Delhi, a credential from one of India's most respected institutions.

  • Completion certificate on meeting attendance and assessment criteria.
  • Participation certificate if criteria are not fully met.
  • Issued digitally by CEP, IIT Delhi, easy to share on LinkedIn and your CV.
Sample shown for illustration. Per IIT Delhi CEP: an e-certificate is issued, with no alumni status and no placement or job guarantee implied.
FAQs

Questions, answered

How long is the programme and how much time will it take?+
  • Three months, with live weekend sessions plus self-paced labs. Expect roughly 6 to 8 hours of work each week.
How is the programme delivered?+
  • Almost entirely live online: faculty-led weekend sessions and hands-on labs, with an optional in-person immersion at IIT Delhi.
Are the live sessions recorded?+
  • Yes. Sessions are run live so you can ask questions in real time, and recordings are shared afterwards for revision.
What if I miss a live session?+
  • You can catch up with the recording, and bring any questions to office hours or the community.
Is the campus immersion mandatory?+
  • No. The campus immersion is an optional, in-person add-on. The core programme is fully completable online.
What happens during the campus immersion?+
  • In-person sessions and labs at IIT Delhi, faculty interaction, and time to network with your cohort face to face.
When are the live sessions held?+
  • On weekends, in India-friendly time slots so they fit around a full-time job. Exact timings are confirmed before the cohort begins.
What language is the programme taught in?+
  • All sessions, labs and materials are in English.
How is the programme structured?+
  • Four build blocks, from applied foundations to deployment and MLOps, followed by a capstone you ship end to end.
Will I work on a real, deployable project?+
  • Yes. The capstone is a working AI system you scope, build, deploy and present, reviewed by faculty and practitioners.
How much of the programme is hands-on?+
  • A large share. Every concept is paired with a lab so you build alongside the teaching, not after it.
Can I balance this with a full-time job?+
  • Yes, that is who it is designed for. Sessions are on weekends and the weekly effort is around 6 to 8 hours.
Can I defer to a later cohort?+
  • Deferral requests are considered as per the IIT Delhi CEP notification for your intake. Talk to a counsellor about your options.
What certificate do I get?+
  • An e-certificate from CEP, IIT Delhi, on meeting completion criteria. A participation certificate is issued otherwise.
Whose name is on the certificate?+
  • It is issued by the Continuing Education Programme (CEP), IIT Delhi.
Can I share it on LinkedIn and my CV?+
  • Yes. The e-certificate is digital and easy to add to LinkedIn, your CV and your portfolio.
What are the completion criteria?+
  • Meeting the attendance threshold and passing the assessments and capstone, as defined in the CEP notification.
Is a job or placement guaranteed?+
  • No. The programme builds skills and includes career support, but no placement or job is guaranteed.
Do I get IIT Delhi alumni status?+
  • No. CEP programmes do not confer alumni status. You receive a CEP completion certificate.
When will I receive the certificate?+
  • The CEP e-certificate is issued after the cohort concludes and your completion criteria are verified.
Is the certificate digital or physical?+
  • It is a digital e-certificate issued by CEP, IIT Delhi, easy to store, verify and share online.
What if I do not meet the completion criteria?+
  • A participation certificate is issued instead of the completion e-certificate.
Will this help me move into an AI role?+
  • The programme builds production AI skills and a portfolio-ready capstone that strengthen your profile. Outcomes depend on your own effort and the market; no job is guaranteed.
Whose name is on the certificate?+
  • The certificate is issued by the Continuing Education Programme (CEP), IIT Delhi, with the exact wording following the official CEP notification.
What is the fee, and are instalments available?+
  • The total payable is ₹ 1,77,000 (incl. 18% GST). No-cost EMI options from approx. ₹ 14,750 / month may be available, subject to lender approval.
How do I apply, and who do I pay?+
  • Apply through the official link. After shortlisting and your offer letter, the fee is paid to the IIT Delhi CEP account to confirm your seat.
Are no-cost EMI options available?+
  • Yes, across 3, 6, 9 and 12-month tenures through our NBFC partners, subject to lender approval. A counsellor can walk you through the options.
Is there an application fee?+
  • Any application fee, and whether it is adjustable against the programme fee, is as per the CEP notification shared during admissions.
What is the refund policy?+
  • The refund and withdrawal policy follows the IIT Delhi CEP notification, which is shared before you confirm your seat.
Are scholarships or discounts available?+
  • Any early-application or cohort offers vary by intake. Ask a programme counsellor about what is currently available.
Can my employer sponsor me?+
  • Yes. Many learners are employer-sponsored. We can provide the documentation your organisation needs.
Does the fee include GST?+
  • Yes. The total payable of ₹ 1,77,000 is inclusive of 18% GST.
Are there any costs beyond the programme fee?+
  • The programme fee covers tuition, labs and tool access. Any travel and stay for the optional campus immersion are arranged and borne by you.
Will I receive an invoice or fee receipt?+
  • Yes. An official receipt is issued for the fee paid to the IIT Delhi CEP account, which is useful for employer reimbursement.
When is the fee due?+
  • After you are shortlisted and receive your offer letter, the fee is paid to confirm your seat, within the window stated in the offer.
What payment methods are accepted?+
  • Standard methods such as net banking, cards and EMI through our NBFC partners. A counsellor can confirm the current options.
How competitive is admission?+
  • Seats are limited and applications are reviewed on a rolling basis, so early applications are reviewed first.
What are the eligibility requirements?+
  • A graduate with a coding background and around two or more years of experience. Final eligibility is per the CEP notification.
Do I need a strong maths background?+
  • Comfort with programming matters more than advanced maths. Foundational ML concepts are covered in the first module.
Do I need prior AI or ML experience?+
  • No formal AI experience is required. If you can write code and have a couple of years of experience, the programme takes you from foundations to production.
Which roles is this programme best for?+
  • Software and data engineers, ML practitioners, and technical leads who want to own AI delivery in their teams.
Is there an entrance test or interview?+
  • There is no entrance exam. Applications are screened and shortlisted by IIT Delhi as part of admissions.
Can final-year students apply?+
  • The programme is aimed at working professionals with around two or more years of experience. Final eligibility is per the CEP notification.
Which programming languages should I know?+
  • Comfort with general-purpose programming is enough; the AI engineering work is largely in Python, which is reinforced in the first module.
Can I apply from a non-computer-science background?+
  • Yes, provided you can write code and meet the experience criteria. The first module brings everyone to a shared baseline.
Is there an age limit?+
  • There is no upper age limit. Eligibility is based on your background and experience as defined in the CEP notification.
What support do I get during the programme?+
  • You receive layered support throughout the programme. This includes mentorship from IIT Delhi faculty and industry practitioners, dedicated office hours for doubt-solving, teaching-assistant help on the hands-on labs, and an active cohort community for peer support. The aim is to make sure you are never stuck for long and always have someone to turn to, whether your question is conceptual, technical, or about your capstone project.
What do I need to attend, hardware and software?+
  • To participate you mainly need a laptop and a stable internet connection, since the programme is delivered live online. The cloud credits, development environments and tool access required for the hands-on labs are arranged as part of the programme, so you do not need to set up expensive infrastructure yourself. This keeps the barrier to entry low while still letting you build on the same kind of tooling used in production.
Is there a peer community or network?+
  • Yes. As a learner you join a cohort community built for discussion, peer support, collaboration and networking. It is a place to ask questions, share your work, and learn from others who are also moving into production AI roles. The connections you build often continue well beyond the programme, giving you a professional network of fellow engineers and practitioners across India.
What career support is included?+
  • Career support includes coaching, mentorship and access to a mentor network to help you pursue AI and machine-learning roles more effectively. You also finish with a deployed, portfolio-ready capstone that demonstrates real production skills to employers. Importantly, while this support is designed to strengthen your job search, no placement or specific job is guaranteed, and your outcomes depend on your own effort and the market.
Who can I talk to before I apply?+
  • Before applying, you can request a callback and speak with a programme counsellor. They can answer your questions about programme fit, eligibility, the curriculum, fees, EMI options and the schedule, and help you decide whether the AI Forward Deployed Engineer programme is right for your goals. This is the best way to get clarity on anything specific to your situation before you commit to applying.
How do I get help if I am stuck on a lab?+
  • If you get stuck on a hands-on lab, there are several layers of help available. You can reach out through teaching-assistant support, raise it during the dedicated office hours, or ask your peers and mentors in the cohort community. Because labs are central to how you learn production AI, the support model is designed to unblock you quickly, so you can keep building rather than losing momentum.
Do I need to buy any tool licences?+
  • No, you do not need to buy separate tool licences to complete the labs. The cloud credits and tool access required for the programme's hands-on work are arranged for you as part of the programme. This means you can focus on building and deploying AI systems with the modern toolchain, without worrying about sourcing or paying for individual software licences yourself.
Will I have access to materials after the programme?+
  • Yes. You retain access to the session recordings and core learning materials for revision after the cohort ends. This lets you revisit complex topics, such as model deployment, monitoring, MLOps and agentic systems, whenever you need to apply them in your own work. Having lasting access turns the programme into a reference you can return to well beyond the three months of teaching.
How much mentorship will I actually get?+
  • You get regular mentorship throughout the programme, not just a one-off session. This comes through faculty-led live classes, practitioner input, dedicated office hours, capstone reviews, and teaching-assistant support on the labs. The combination means you receive both academic depth from IIT Delhi faculty and practical, real-world guidance from engineers who have shipped AI systems at scale in industry.
Does the community continue after the programme?+
  • Yes. The cohort community is designed to keep going beyond the programme itself, supporting ongoing discussion, peer learning and professional networking. Many learners stay connected with peers they met during the programme, sharing opportunities and advice as they grow into AI engineering roles. It becomes a lasting network of like-minded professionals rather than a temporary class group.
Blog & News

What forward-deployed engineers are reading

The shifts shaping AI engineering and deployment right now — curated reading from across the web.

Ready to become an AI Forward Deployed Engineer?

Share your details and a programme counsellor will guide you through the next steps.

Applications open · July 2026 cohort
About the AI Forward Deployed Engineer programme with IIT Delhi+

What is the AI Forward Deployed Engineer programme?

The AI Forward Deployed Engineer programme is a three-month, AI-first certification offered through the Continuing Education Programme (CEP), IIT Delhi. It is designed for working professionals in India who can already write code and want to move beyond training models in notebooks to building, deploying and operating production-grade AI and machine-learning systems. The programme is delivered live online with weekend sessions and an optional on-campus immersion at the IIT Delhi campus in Hauz Khas, New Delhi.

Most engineers can train a model. Far fewer can put one into production, keep it running reliably, monitor its behaviour and improve it over time. This forward-deployed engineering programme is built to close exactly that gap. Across applied foundations, data and model pipelines, large language models and agentic systems, and deployment, scaling and MLOps, you progress from first principles to a deployed capstone you ship and present end to end.

Who should enrol in this AI engineering programme?

This programme is best suited to professionals who already have a coding background and roughly two or more years of work experience. It is particularly relevant for:

  • Software and data engineers moving into AI and machine-learning delivery roles.
  • Machine-learning practitioners who want deeper production, deployment and MLOps expertise.
  • Technical leads and engineering managers who own or are about to own AI initiatives in their teams.
  • Backend, platform and DevOps engineers who want to add applied AI and LLM engineering to their skill set.

Learners typically come from technology hubs across India, including Bengaluru, Hyderabad, Pune, Delhi NCR, Chennai, Mumbai, Gurugram and Noida, as well as remote-first teams. Because the programme is delivered live online, you can participate from anywhere in India while continuing to work full time.

Curriculum: from applied foundations to a deployed capstone

The curriculum is organised into five build blocks. Each module pairs faculty-led teaching with hands-on labs so you apply every concept as you learn it, rather than studying theory in isolation.

Module 01 — Foundations of applied AI and ML

Establish a strong, shared baseline. You set up clean, reproducible environments, move code out of notebooks into maintainable and testable services, and refresh the machine-learning fundamentals the rest of the programme builds on, including training, evaluation and error analysis, and calling foundation models to design your first workflows.

Module 02 — Data and model pipelines

Production AI lives and dies on its data. You build repeatable pipelines that version data and models, track experiments, validate data quality, detect drift, and orchestrate multi-step workflows so problems are caught long before they reach users.

Module 03 — LLMs and agentic systems

Go well beyond calling an API. You design large-language-model and agentic systems with prompting, structured outputs and function calling, retrieval-augmented generation and vector stores, tool-use and multi-step autonomous agents, and you evaluate them honestly for quality, cost, latency and safety with guardrails in place.

Module 04 — Deployment, scaling and MLOps

This is where most teams get stuck. You package and serve models with containers and APIs, handle orchestration, autoscaling and reliability, add monitoring, logging and observability, and build CI/CD for models with safe rollouts and rollbacks, optimising for cost and performance at scale.

Capstone — Forward-deployed project

You bring everything together on a real problem: scope it, define success metrics, build and deploy an end-to-end AI system, monitor it, iterate with faculty and practitioner reviews, and present a portfolio-ready project.

Tools and technologies you will use

You build with the tools that AI engineering teams actually deploy on, including Python, PyTorch, TensorFlow, Hugging Face, LangChain, FastAPI, Docker, Kubernetes, MLflow, vector databases, Git and major cloud platforms. The emphasis throughout is on the modern, production AI engineering toolchain rather than on any single framework, so the skills transfer directly to your day-to-day work.

How the programme is delivered

The AI Forward Deployed Engineer programme runs over three months, almost entirely live online, with faculty-led weekend sessions designed to fit around a full-time job. Expect roughly six to eight hours of work each week across live classes and self-paced labs. Live sessions are recorded and shared afterwards so you can revise or catch up, and dedicated office hours and an active learner community support you throughout.

An optional campus immersion at IIT Delhi gives you in-person sessions and labs, direct interaction with faculty, and time to network with your cohort face to face. The immersion is an add-on; the core programme can be completed fully online.

Certificate and recognition

On meeting the attendance and assessment criteria, you receive an e-certificate issued by the Continuing Education Programme (CEP), IIT Delhi. A participation certificate is issued if the full completion criteria are not met. The certificate is digital and easy to add to your LinkedIn profile, CV and portfolio. As per IIT Delhi CEP policy, no placement or job is guaranteed, and CEP programmes do not confer IIT Delhi alumni status. The programme is offered by the Continuing Education Programme (CEP), IIT Delhi.

Eligibility

The programme is intended for graduates with a coding background and around two or more years of work experience. You do not need prior formal AI or ML experience or an advanced mathematics background; comfort with programming matters more, and foundational ML concepts are covered in the first module. There is no entrance examination; applications are screened and shortlisted by IIT Delhi as part of the admissions process. Final eligibility is as per the IIT Delhi CEP notification shared during admissions.

Fees, EMI and admissions

The total programme fee is ₹1,77,000, comprising a programme fee of ₹1,50,000 plus 18% GST. No-cost EMI options are available across 3, 6, 9 and 12-month tenures through our NBFC partners, subject to lender approval, starting from approximately ₹14,750 per month on the 12-month plan. The admission process is simple: submit your application through the official link, complete screening and shortlisting by IIT Delhi, receive your offer letter, pay the fee to confirm your seat, and join orientation and the cohort start. Fees are paid to the IIT Delhi CEP account, and the application fee and refund policy are as per the CEP notification.

Why AI deployment skills matter now

Demand has shifted from people who understand AI in theory to people who can ship it. According to the Stanford AI Index 2025, 78% of organisations now use AI in at least one business function. The World Economic Forum's Future of Jobs 2025 report projects 170 million new roles from AI and technology adoption by 2030, while UNCTAD estimates the global AI market could reach US$4.8 trillion by 2033. NASSCOM ranks AI and ML engineering among India's best-paid technology roles. Engineers who can take AI from prototype to reliable, monitored production are among the scarcest and most valuable in this market.

About the programme

The AI Forward Deployed Engineer programme is offered through the Continuing Education Programme (CEP), IIT Delhi, one of India's foremost engineering institutes. It pairs premier-institute credibility with live, mentored delivery and career support, so you graduate with both a respected credential and a deployed, portfolio-ready AI system.

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