Program Description

The Advanced Certificate Programme in Machine Learning, Generative Al & LLMs for Business Applications is crafted to empower professionals with the expertise to harness the transformative potential of Al-driven technologies. Beginning with the fundamentals of artificial intelligence, mathematics, and machine learning, the programme builds a strong foundation before advancing into deep learning, large language models, and generative frameworks.
What sets this programme apart is its focus on business applications—equipping participants not just with technical mastery, but with the ability to apply Al and ML innovations strategically across industries. The learning journey culminates in exploring emerging technologies and future trends, enabling participants to stay ahead in an era where Al is reshaping business models, decision-making, and competitive advantage.

Key Highlights

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Flexibility in learning: online classes on weekends

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Comprehensive Pedagogy

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Certificate of Completion by IITM Pravartak

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Access to Extensive Reference Materials for Continuous Learning

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Dedicated Programming Sessions to Enhance Practical Skills

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Campus Immersion (optional)

Learning Format

Hybrid

Duration

10 - 11 Months

Certified by

IITM Pravartak Technologies Foundation
Technology Innovation Hub (TIH) of IIT Madras

Program Fee

Application Fee: INR 1500/- + GST
Total Programme Fee: INR 1,30,000/- + GST

Program Brochure

Education Qualification


  • Qudlification: Graduate/4-year Engineering/Technical Degree/B.Sc/BCA/M.Sc/MCA from a recognized university (UGC/AICTE/DEC/AIU/State Government/recognized international universities).

  • Minimum 50% and above is required for qualification.

  • Industry Targeting (Preference): IT, Tech, Software, Engineering Research, Business Analytics, etc.

  • Professionals from a tech background must have a minimum of 1year of work experience.

Suggested Prerequisites

Screening and Selection - Professionals satisfying the eligibility criteria with at least one year of background will be admitted to the course.

Teaching Hours

Hybrid (Online with an optional 1-day campus immersion for the valedictory session towards the end)

Lead Faculty

Prof. Babji Srinivasan

Director and Programme Coordinator
Professor in the Department of Applied Mechanics and Biomedical Engineering, IT Madras

Dr. Ramji Srinivasan

Director, Bit2qubit Inc; Former Qualcomm Employee; Consultant

Learning Module



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