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MATH X01: Mathematics for AI

Course Details

COURSE INFO
Course Name (Macro Question) How do machines turn the world into numbers and learn to make decisions?
Competency Mathematics, Modelling and Problem Solving
Total Course Hours 15
Number of Lectures 90 videos \(\times\) \(\sim\) 10 minutes each
WHY THIS COURSE & WHO TEACHES YOU?
Why This Course? You'll build the intuition for how AI systems work, so concepts feel understandable rather than intimidating. This course will help you navigate the AI landscape with clarity, without getting overwhelmed by technical details.

As an entrepreneur, you’ll be able to confidently converse with technology teams, understand their ideas, and make better product and business decisions around AI.
Course Instructor Sagar Udasi
Instructor Profile Sagar Udasi has spent the last 6 years working on machine learning and real-world AI systems. An alumnus of the University of Edinburgh, he has worked as an Applied Scientist on Amazon’s Alexa team, building assistant systems that learn from millions of real user interactions. He has also built agentic AI prototypes for global brands like Puma and AB InBev, taking AI from concept to execution. Alongside this, he brings 4+ years of teaching experience across mathematics, data science, and machine learning.

This course reflects that journey. It’s designed to make you forget you were ever scared of math or AI, where even the most intimidating ideas start to feel natural, and you catch yourself thinking, “oh… that’s all it is?”

Lecture Plan

Sr No. Title Major Topic Sub Topic
1.