Program Description
Artificial Intelligence (AI), Deep Learning, and advanced Data Science are rapidly transforming how industries operate, make decisions, and solve complex problems. These technologies are no longer confined to tech-centric roles—they are now central to innovation across sectors such as software development, business analytics, scientific computing, healthcare, finance, and core engineering. As organizations become increasingly data-driven, professionals in managerial and mid-career roles must evolve to meet the demands of this shift.
The Executive Certification in Advanced Data Science & GenAI for Managers is designed to help professionals build a strong foundation in AI while developing hands-on expertise in its practical implementation. Developed by IITM Pravartak, a technology innovation hub of IIT Madras, this programme blends academic depth with industry relevance. It offers a comprehensive curriculum encompassing Python programming, machine learning, deep learning architectures, and generative AI models such as Transformers and GANs.
The pedagogy emphasizes mathematical rigor, computational thinking, and application-focused learning. Through real-world case studies, interactive labs, and faculty-led sessions, participants will gain the skills to design, interpret, and lead AI initiatives across business functions. The hybrid delivery format and weekend sessions ensure flexibility for working professionals, while the campus immersion provides valuable peer learning and faculty interaction.
Whether you are driving digital transformation, managing data science teams, or preparing for leadership in tech-enabled domains, this programme equips you to navigate the evolving AI landscape with confidence and clarity.
Key Highlights
Highly recognized Certificate of Completion from IITM Pravartak
3 Immersive Learning Modules (2 Days Each)
10+ Industry-specified Case Studies
Peer-to-peer learning and mentoring from industry experts
Live sessions led by IIT Madras faculty
Hands-On Learning: Projects, Cases & Applications
Learning Format
Online
Duration
40 Weeks
Certified by
IITM Pravartak Technologies Foundation
Technology Innovation Hub (TIH) of IIT Madras
Program Fee
INR 1,80,000/- + GST
Program Description
Program Brochure
Education Qualification
● Qualification: Graduate/4-year Engineering Degree/B.Sc. + M.Sc. from a recognized university (UGC/AICTE/DEC/AIU/State Government/recognized international universities)
● Minimum Experience: 3 years, preferably in software engineering and/or other disciplines involving computational work. Comfort with basic mathematics is expected.
● Preferred Industry Background: IT, Software, Engineering Research, Business Analytics, Finance, etc.
Teaching Hours
100 Hours
Lead Faculty
Prof. Ganapathy Krishnamurthi
Prof. Ganapathy Krishnamurthi is a faculty member in the Department of Engineering Design and an associate faculty at the Robert Bosch Center for Data Science and Artificial Intelligence at IIT Madras. He holds a Ph.D. from Purdue University and an M.Sc. in Physics from IIT Madras. He has also worked as a post-doctoral research fellow at Case Western Reserve University and the Mayo Clinic in the USA.
Prof. Krishnamurthi's research lies at the intersection of Machine Learning, Artificial Intelligence, and medical image analysis. His work focuses on computer vision, explainability and interpretability of deep learning models, and solving inverse problems in medical imaging and computer vision using deep learning techniques.
His current research extends to deep learning for time series data across business, engineering, and imaging applications. He has published extensively in areas related to Deep Learning, Machine Learning, and their applications in science, engineering, and technology.
