Offered by Indian Institute of Technology Roorkee
A 6‑month live weekend programme by CEC, IIT Roorkee for working professionals to build end-to-end applied AI capability — from Python and ML to generative and agentic AI, MLOps and decision science — culminating in a portfolio capstone and optional campus immersion.
Indian Institute of Technology Roorkee
This six‑month executive programme from the Continuing Education Centre, IIT Roorkee is built for working professionals who want applied, end‑to‑end AI capability. Delivered as live weekend classes with optional one‑day campus immersion, it covers foundational tools (Python, statistics, EDA), core machine learning and deep learning, and advanced topics such as generative AI, LLMs, agentic AI and MLOps.
Learning is hands‑on: the curriculum combines interactive sessions, case studies, assignments and a capstone project to ensure participants can design, deploy and scale AI solutions in real business contexts. Assessment includes attendance, assignments, quizzes and the capstone; successful participants receive an e‑Certificate issued by CEC IIT Roorkee.
Targeted at professionals from diverse backgrounds (software engineers, data practitioners, product managers, business analysts and entrepreneurs), the programme emphasises practical deployment (APIs, cloud/edge, CI/CD) and prescriptive decision science for business problem solving.
Key highlights and core differentiators that set this program apart.
E‑Certificate issued by CEC, IIT Roorkee
Live weekend classes designed for working professionals
Curriculum covering generative AI, agentic AI and MLOps end-to-end
Optional on‑campus 1‑day immersion at IIT Roorkee
Faculty & industry practitioner instruction from IIT Roorkee
Core capabilities, strategic skills, and managerial frameworks you will acquire.
Essential delivery mode, timeline, and candidate eligibility at a glance.
Comprehensive breakdown of course modules, masterclasses, and hands-on projects.
Python for data science
Data analysis and visualisation (EDA)
Statistics for data science
Linear algebra for ML
Optimisation techniques
Probability for AI/ML
Supervised learning: regression and classification
Unsupervised learning: clustering and dimensionality reduction
- Hyperparameter tuning: Tuning & optimisation
Time series modelling and forecasting
Graph machine learning
Bayesian methods in ML
Recommendation systems
NLP & Text Analytics
Generative Models (GANs, VAEs, Diffusion)
Neural Networks Basics
Sequence Models (RNN)
Deep Learning Fundamentals & Architectures
CNNs
Building Applications with LLMs
N-gram Language Models
Large Language Models (LLMs)
Transformers & Attention Mechanisms
Fine-Tuning & Transfer Learning
RAG (Retrieval-Augmented Generation)
Prompt Engineering Techniques
Introduction to Agentic AI
AI Agents Design (Planning, Memory, Tools)
Multi-Agent Systems
Agentic RAG & Tool Calling
Agent Evaluation & Debugging
MLOps & LLMOps Fundamentals
Model Deployment (APIs, Cloud, Edge)
Monitoring, Observability & Logging
CI/CD for ML Systems
AI Productization & End-to-End ML Pipelines
Prescriptive Decision Science
Modelling using Optimisation and Integer Programs
Knapsack, Facility Location and various decision intelligence problems
The capstone project involves the deployment of an AI/ML solution using MLOps and LLMOps practices.
Machine learning model development for regression and classification problems
Clustering and dimensionality reduction implementation exercises
Time series forecasting and predictive analytics projects
NLP and text analytics assignments using transformer-based models
Computer vision projects using CNN architectures for image analysis
Generative AI applications using GANs, VAEs, or diffusion models
LLM-powered chatbot and prompt engineering exercises
RAG-based enterprise knowledge assistant development project
Programming & Development: Python, Git, Jupyter Notebook
Data Analysis & Visualisation: NumPy, Pandas, Matplotlib
Machine Learning & Deep Learning: Scikit-learn, TensorFlow, PyTorch, Keras
Generative AI & LLMs: Hugging Face Transformers, LangChain, OpenAI APIs
Vector Search & RAG: Vector Databases, RAG Frameworks
Deployment & MLOps: Docker, FastAPI, MLflow, Cloud Deployment Platforms, LLMOps Tools
As part of this programme, you also get complimentary access to the Certificate Programme in Gen AI Tools and Business Applications designed to help you apply generative AI across key business functions.
Learn to apply Gen AI tools for business transformation.
Explore real-world use cases across marketing, HR, and finance.
Hands-on tool exposure via demos and walk-throughs.
Curated prompt library for on-the-job use.
*The complimentary certificate programme is offered by TimesPro. IIT Roorkee is not responsible for the same
Format, class schedules, campus immersion details, and evaluation criteria.
*Campus immersion is optional; all associated expenses are to be borne by the participant.
Experience in-person learning during a 1-day on-campus module at IIT Roorkee.
This optional immersion brings together a cohort of working professionals to engage in hands-on learning and peer discussions.
At IIT Roorkee, you'll gain fresh perspectives from both faculty-led insights and peer-driven dialogues, allowing you to return to your professional life with a sharper technical outlook and the tools to apply AI with greater confidence.
Eligibility criteria, work experience requirements, and admission steps.
Selection is based on application review and a faculty interview.
Key application deadlines, batch commencement dates, and intake schedules.
| Application Deadline | 31 October 2026 |
|---|---|
| Program Start Date | 21 November 2026 |
Tuition fees, flexible installment schedules, and available financing options.
| Fee or instalment | Amount | Due date / terms | Notes |
|---|---|---|---|
| Programme Fees | ₹1,49,000 | — | — |
| GST@18% | ₹26,820 | — | — |
| Total Fees | ₹1,75,820 | — | — |
| Application Fee | ₹1,000 | To be paid at the time of application | Application fee is non-refundable and non-transferable; will not be adjusted to total programme fee. |
| 1st Instalment | ₹49,000 | Within 7 days of the offer letter, or before the programme start, whichever is earlier | *GST@18% will be applicable. |
| 2nd Instalment | ₹50,000 | 45 days from the programme start date | *GST@18% will be applicable. |
| 3rd Instalment | ₹50,000 | 90 days from the programme start date | *GST@18% will be applicable. |
Common queries about the program, admissions, curriculum, and policies.
The programme is structured as a 6-month course, delivered live online every Saturday and Sunday, with an optional campus immersion at IIT Roorkee. It is designed to help working professionals build applied AI capability through structured academic and practically applicable learning.
Graduates from technical disciplines such as B.Tech/B.Sc. in Mathematics, Statistics, Physics, and related fields, as well as graduates from other disciplines with Mathematics knowledge up to the 12th standard, are eligible to apply.
The programme is delivered live online through interactive sessions, case studies, hands-on assignments, and a capstone project, with an optional on-campus immersion at IIT Roorkee for direct faculty interaction and peer networking.
The curriculum covers AI and data science foundations, machine learning, advanced machine learning, deep learning, generative AI and LLMs, agentic AI, MLOps and deployment, and decision science, culminating in a capstone project.
Upon successful completion of the programme, subject to meeting the attendance and evaluation criteria, an e-Certificate will be issued by the Continuing Education Centre (CEC), IIT Roorkee.
This is an applied, technical programme designed for professionals from any discipline. It builds hands-on capability across the AI and machine learning stack, alongside decision science for real-world business application, rather than a general management curriculum.
The programme equips participants to design, deploy, and apply AI and machine learning solutions to real business problems, through a structured curriculum, hands-on assignments, and a capstone project that reflects real-world use cases.
The programme focuses on Python and statistical foundations, machine learning, deep learning, generative AI, agentic AI, MLOps, and decision science, giving participants end-to-end capability across the AI development and deployment lifecycle.
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About the primary institute
Indian Institute of Technology Roorkee (IIT Roorkee) is one of India’s oldest and most prestigious technical universities, with origins dating to the College of Civil Engineering founded in 1847. Over nearly two centuries it has evolved into a comprehensive institution covering engineering, applied sciences, humanities and management, and is recognized nationally for research, high-impact teaching and technological innovation.
The institute combines a storied legacy with modern research strengths, distinguished faculty and extensive industry and international collaborations. Its 365-acre main campus in Roorkee provides residential, cultural and research infrastructure that supports a vibrant student community, multidisciplinary centers of excellence and strong links to government and industry, making IIT Roorkee a leading choice for aspiring technologists and executive professionals.