Probability for AI and Quant Course

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Schedule (Live & Recorded):  From Oct 13 to Nov 30, there will be live classes. Then, the course will be available in a recorded version with doubt clearing from the faculty. Download the live class schedule above. Each problem-solving class has a corresponding problem set. You can download our 24-hour+ theory lectures class-wise plan here.
Faculty: AI, Stat, Quant Researchers, Risk Analysts from top companies with educational backgrounds in the top universities in India and the USA, like ISI, IIT, UIowa, with at least 2-3 years of teaching experience.
Approach: Theory Classes + Class-wise Problem Sets + Problem Solving Classes + Doubt Clearing from the faculty. Each class requires you to go through the pre-recorded theory classes for better understanding.
Progress Metric: Can you understand & solve the >= 200 problems yourself by generating the ideas yourself?
Prerequisites: Any student with a strong high school mathematics background is eligible. Ideally, one should be comfortable with high school counting, algebra, precalculus, calculus, and matrices so that one can start solving problems.

Modules

Module 1: Classical Probability and Combinatorics
  • Class 1: Classical Probability - Level 1
  • Class 2: Classical Probability - Level 2
  • Class 3: Classical Probability - Level 3
Module 2: Conditional Probability and Bayes' Theorem
  • Class 4: Axiomatic Probability - Level 1
  • Class 5: Axiomatic Probability - Level 2
  • Class 6: Conditional Probability - Level 1
  • Class 7: Conditional Probability - Level 2
  • Class 8: Conditional Probability - Level 3
Module 3: Random Variables and Distributions
  • Class 9: Discrete Distributions - Level 1
  • Class 10: Discrete Distributions - Level 2
  • Class 11: Continuous Distributions - Level 1
  • Class 12: Continuous Distributions - Level 2
Module 4: Joint and Conditional Distributions
  • Class 13: Expectation - Level 1
  • Class 14: Covariance - Level 1
  • Class 15: Conditional Expectation - Level 1
  • Class 16: Conditional Expectation - Level 2
  • Class 17: Conditional Expectation - Level 3
Module 5: Order Statistics and Limit Theorems
  • Class 18: Order Statistics - Level 1
  • Class 19: Limit Theorems - Level 1
Module 6: Markov Chain and Random Walk
  • Class 20: Stochastic Processes - Level 1
  • Class 21: Stochastic Processes - Level 2

6 Months

INR 4999
+18% GST
  • Recorded Theory Sessions
  • Recorded Problem Solving
  • Doubt Clearing Live
  • Access for 6 months
Free Live Classes if you join before December 1, 2025

12 Months

INR 5999
+18% GST
  • Recorded Theory Sessions
  • Recorded Problem Solving
  • Doubt Clearing Live
  • Access for 12 months
Free Live Classes if you join before December 1, 2025

Demo Theory Lecture

Course Orientation

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