GenAI Powered Multiple Attribute Decision Making 2026
NPTEL+ / National Programme on Technology Enhanced Learning (NPTEL)
📌About the Event
GenAI Powered Multiple Attribute Decision Making 2026 is an online NPTEL+ workshop focused on how Generative AI can improve data-driven decision-making across industries. The session will be conducted by Prof. R. Krishankumar from IIM Bodh Gaya and is designed for students, researchers, faculty, and professionals interested in AI, Data Science, Data Analytics, Operations Research, and decision-making methods.
ℹ️ Event Details
- Mode of Conduct: Online
- Workshop Type: Short-term online learning workshop
- Instructor: Prof. R. Krishankumar, IIM Bodh Gaya
- Key Focus Areas: Generative AI, data-driven decision-making, multiple attribute decision-making, Data Science, Data Analytics, and AI applications
- Registration Platform: NPTEL+ official website
📅 Important Dates
- Workshop Date: 20 June 2026
- Last Date to Register: 17 June 2026
- Timings: 10:00 AM – 1:00 PM and 3:00 PM – 5:00 PM IST
- Day: Saturday
- Registration Status: Open on NPTEL+ as an ongoing workshop
🎯 Eligibility & Rules
- Eligibility: BE/B.Tech or ME/M.Tech students from CS & IT, especially those focused on Data Science or Data Analytics, can apply.
- Professional Eligibility: Professionals with 0–5 years of experience in data and decision-making are eligible.
- Knowledge Requirement: Learners with knowledge of matrices, fuzzy sets, or spreadsheets are also suitable for the workshop.
- Intended Audience: Students, research scholars, faculty members, and industry professionals interested in OR, AI, Data Science, and Data Analytics.
- Rules: Participants need to register through the NPTEL+ platform and attend the workshop online as per the scheduled time.
🏆 Benefits for the Participants
- Learning Benefit: Participants will learn how Generative AI can support smarter, data-driven decisions across industries.
- Expert Learning: The workshop offers guidance from Prof. R. Krishankumar, IIM Bodh Gaya.
- Career Relevance: Useful for learners interested in AI, Data Science, Data Analytics, Operations Research, and decision-making roles.