100% Live Learning
Learn through live, interactive sessions designed to build analytical rigor and AI-native problem-solving capabilities.


7 Months ✦ 100% Live Online
Department of Artificial Intelligence, IIT Kharagpur



In the Agentic Era, the question is no longer whether your organisation uses AI. The question is whether you can lead it. Every organisation now has access to the same models - the differentiation is the data scientist who can frame the right problem, run the right experiment, identify true causality, and direct AI systems to amplify that judgement at scale. That professional is what this programme builds.
Established in 1951, IIT Kharagpur is India’s first IIT and among the world’s most respected engineering institutions. Ranked 5th in Engineering by NIRF 2025, the Institute is recognised for academic rigour, high-impact research, and sustained contributions to artificial intelligence and computing.


Learn through live, interactive sessions designed to build analytical rigor and AI-native problem-solving capabilities.
Progress from machine learning and predictive analytics to AI copilots, RAG systems, and agentic decision workflow.
Build expertise across statistical modeling, business analytics, causal AI, Generative AI, and intelligent analytical systems.
Apply your learning to real business problems through hands-on projects and an end-to-end AI-powered analytics capstone.
Earn an Executive Certificate from IIT Kharagpur and celebrate your achievement at the on-campus graduation ceremony.
On completion, join the IIT Kharagpur Executive Education Alumni Network with access to events, networking forums, campus visits, and an annual alumni newsletter.

Develop statistical and machine learning expertise that remains valuable even as AI automates routine analysis.

Learn how leading organizations transform data into decisions through experimentation, forecasting, and predictive intelligence.

Work with the technologies, workflows, and architectures powering AI-driven enterprises.

Move beyond correlation to understand causality, experimentation, and evidence-based decision making.

Learn to collaborate with AI systems that accelerate analysis, reporting, and insight generation.

Design analytical workflows that combine human judgment with AI agents, automation, and intelligent decision support.

Topic Covered
Topics
Flexible payment options and zero cost EMIs make your programme even more accessible.
Total Fee
₹1,77,000
Block Your Seat Now At
₹10,000
EMI per Month
₹6,031
*Fees Inclusive of taxes
*Standard EMI starts from ₹ 6031/month. It may vary as per the plan selection
Eligibility:
Graduation with a minimum of 50% marks.

Forecast outcomes and generate business recommendations using machine learning.

Design A/B tests and causal analysis systems that measure real business impact.

Build intelligent assistants that automate reporting and insight generation.

Create autonomous analytical workflows powered by AI agents and enterprise data.

Develop retrieval-powered systems that deliver context-aware business insights.

Bring together machine learning, analytics, Generative AI, and Agentic AI to solve a real business challenge.
Apply the full spectrum of skills acquired throughout the programme to solve a real business challenge. Build an AI-powered analytics solution that combines predictive modeling, experimentation, Generative AI, and intelligent agentic workflows.




Earn recognised credentials and academic recognition.
Top 10 percentile performers in each cohort receive a Certificate with Distinction, recognised on the credential itself.

at IIT Kharagpur
The programme concludes with an on-campus award ceremony at IIT Kharagpur, where participants receive their certificates from the Programme Director and Institute leadership.

Complete your application and enrol in the program with four easy steps!
Fill your details and complete your application
Get shortlisted and Provisional Offer Letter
Block your seat and submit the required documents
Post verification, complete the balance payment to confirm enrolment.