IIT Delhi Launches Online Certification Course in Applied AI, ML, and Decision Science
IIT Delhi opens admissions for online Applied AI, ML and Decision Science course 2026
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IIT Delhi has opened admissions for an eight-month online certification course in Applied AI, ML, and Decision Science, starting September 19, 2026. The program is designed for professionals and covers various AI and decision-making topics, with applications accepted until September 12, 2026.
- 01The course is delivered through eVIDYA in collaboration with Emeritus.
- 02Eligibility includes graduates or diploma holders with a 10+2+3 educational background.
- 03The course fee is ₹1,60,000 plus 18% GST, with classes on Saturdays.
- 04Participants will learn about Generative AI, machine learning, and decision intelligence systems.
- 05Completion leads to an e-certificate from IIT Delhi's Centre for Continuing Education.
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IIT Delhi has opened admissions for its online certification course in Applied AI, ML, and Decision Science, targeting professionals seeking expertise in artificial intelligence and machine learning. The course, which runs for eight months from September 19, 2026, to May 15, 2027, is offered through eVIDYA in partnership with Emeritus. Applications are open until September 12, 2026, with a fee of ₹1,60,000 plus 18% GST. Classes will be held online on Saturdays from 9:30 am to 1:00 pm. The program is designed for graduates or diploma holders from any discipline, with a focus on a dual-pillar model covering Applied AI and Decision Science. The curriculum includes topics such as Generative AI, machine learning techniques, and decision intelligence systems, alongside practical applications and project work. Participants will also engage with industry-standard tools like Python and Tableau. Upon completion, students will receive an e-certificate from IIT Delhi's Centre for Continuing Education, although the program does not offer campus placements or assistance.
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The course aims to enhance the skill set of professionals in AI and decision-making, potentially improving their job prospects and contributions to the technology sector.
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