Applied AI & Machine Learning
ML foundations to production models — deep learning, MLOps and GenAI.
- 11 months
- Live online
- Tech
- Jul 2026
AI-first certifications co-created with IIT Delhi and IIM Trichy. Six programs, live online, built for the work the market actually pays for.
Six AI-first programs across tech, business and leadership. One graph, many entry points.
ML foundations to production models — deep learning, MLOps and GenAI.
Plan, run and measure AI-driven growth and brand campaigns.
Build production GenAI systems with LLMs, embeddings and retrieval.
Lead AI products from opportunity to launch and iteration.
Drive AI strategy, adoption and governance across your org.
Architect AI-ready data pipelines and platforms at scale.
Focused primitives for learning, building, credentialing and getting hired.
AI runs through the whole curriculum — foundations, applied projects and GenAI — not bolted on as a final module. You build and ship real systems before you finish.
Professor, CS · IIT Delhi
Leads research in machine learning systems and applied deep learning, with 15+ years teaching graduate AI.
ML SYSTEMS · APPLIED DL
Professor, Marketing · IIM Trichy
Specialises in AI-driven marketing analytics and consumer behaviour, advising leading consumer brands.
MARKETING ANALYTICS · CONSUMER AI
Associate Professor, AI · IIT Delhi
Works on generative models and large language models; published widely on responsible AI deployment.
GENERATIVE AI · LLMS
Professor, Strategy · IIM Trichy
Researches AI strategy and organisational transformation, advising senior leadership on adoption.
AI STRATEGY · ORG TRANSFORMATION
Professor, Data Science · IIT Delhi
Builds large-scale data and ML platforms; advises industry on production data engineering.
DATA ENGINEERING · MLOPS
Professor, Operations · IIM Trichy
Researches AI in operations and supply chains, with a focus on decision systems at scale.
AI OPERATIONS · DECISION SYSTEMS
Associate Professor, NLP · IIT Delhi
Specialises in natural language processing and retrieval systems for enterprise AI.
NLP · RETRIEVAL
Professor, Finance · IIM Trichy
Works on AI for financial analytics and risk, advising banks on responsible adoption.
AI FINANCE · RISK ANALYTICS
The applied projects made the difference — I shipped real AI work before the program even ended. By month four I had three production models in my portfolio.
The IIM Trichy faculty connected AI to actual marketing strategy. That reframed how I lead my team, and we cut campaign turnaround by 40% within a quarter.
Career support was hands-on from week one. The mock interviews alone were worth it — I walked into my switch interview calm and landed a 60% hike.
I was sceptical about online cohorts, but the live sessions with IIT Delhi faculty were genuinely rigorous. The GenAI module is the most current curriculum I've seen anywhere.
As a non-tech PM, I finally understand what's actually feasible with LLMs. I now scope AI features with my engineers instead of guessing — that alone changed my role.
The leadership programme gave me a framework to take AI adoption to our board. We've since rolled out governance across four business units with confidence.
Prefer the details first? Pick a programme and we'll email you the brochure and fee breakdown.
Explore ProgramsAn applied, hands-on programme that takes you from ML foundations to shipping production AI systems — co-created with IIT Delhi.
Starts July 2026 — applications open
For engineers and analysts moving into applied AI. Over 11 months you'll design, train and deploy ML models on real datasets — live online, with weekly instructor-led sessions and mentor support throughout.
2+ years' experience, ready to add ML to their toolkit.
Comfortable with data, wanting to move into modelling.
Looking to lead AI initiatives and ship ML in production.
Graduates with a quantitative or engineering background and basic programming experience. [Confirm exact wording against IIT Delhi's official requirement.]
Train, evaluate and tune supervised and unsupervised models on real data.
Design neural networks for vision, text and structured-data problems.
Ship models through MLOps pipelines with monitoring and versioning.
Build applications on top of large language models and embeddings.
Improve model performance, cost and latency for real workloads.
Translate model results into decisions stakeholders can act on.
Curriculum subject to change based on faculty requirements.
Full curriculum & module details available on the brochure. Curriculum subject to change based on faculty requirements.
Professor, Computer Science · IIT Delhi
Leads research in machine learning systems and applied deep learning, with 15+ years teaching graduate AI.
ML SYSTEMS · APPLIED DL
Associate Professor, AI · IIT Delhi
Works on generative models and large language models; published widely on responsible AI deployment.
GENERATIVE AI · LLMS
The Indian Institute of Technology Delhi is one of India's premier institutes for engineering and technology, recognised for its research and academic rigour. [VERIFY current ranking & confirm applicability to this CEP programme before publishing.]
Personalised guidance to map your AI career path.
Sharpen your resume and LinkedIn for AI roles.
Access roles matched to your new skill set.
Practice technical and behavioural rounds with experts.
Connect with peers, mentors and hiring partners.
Continued access to career resources after you finish.
The applied projects made the difference — I shipped real AI work before the program even ended. Three production models were in my portfolio by month four.
MLOps was the missing piece for me. I can now take a model from notebook to production confidently — versioned, monitored and reproducible.
The IIT Delhi faculty kept the bar high. The capstone is now the centrepiece of my portfolio and came up in every interview I took.
The deep-learning module was rigorous without being academic. I built a vision pipeline at work the same week we covered CNNs.
Weekly live sessions kept me accountable while working full time. The mentor feedback on my projects was genuinely senior-level.
The GenAI and RAG section is the most current curriculum I've seen. I shipped an internal LLM tool that my team now uses daily.
Testimonials are placeholders until the first cohort completes. Cohort demographics to be published after batch 1.
Total programme fee ₹2,95,000 incl. GST, spread across three instalments. EMI options available.
Fee ₹2,50,000 + 18% GST ₹45,000 · Refund policy applies. [VERIFY all figures before publishing.]
Every applicant is vetted by the institute — there's no direct self-enrolment.
Jul 2026next cohort start
On meeting the completion criteria, you'll receive a programme certificate co-created with IIT Delhi.
This is a participation/completion certificate for a continuing-education programme. It does not confer alumni status or a placement guarantee.
Engineers, analysts and tech leads with basic programming experience who want to build applied AI/ML skills.
A quantitative or engineering background with basic programming experience. Final eligibility is confirmed against IIT Delhi's official requirement.
100% live online, with weekly instructor-led sessions, hands-on projects and mentor support.
Total fee is ₹2,95,000 incl. GST, payable in instalments. EMI options are available. [Verify per programme.]
A completion certificate co-created with IIT Delhi, subject to meeting attendance and assessment criteria.
Yes — 1:1 coaching, profile building, a curated job portal, mock interviews, networking and post-programme support.
Applications for the July 2026 cohort are open. Apply now or download the brochure.