Prerequisite Courses of Artificial Intelligence - Mathematics
Completed by Sadeem Sami Atiya Alsahafi on November 11, 2025
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Badge ID: peu-1SWBS3WrvtUlget1og
About this Badge
This provides a comprehensive foundation for students enrolling in the 2025-2026 Artificial Intelligence Program. It offers a carefully selected set of prerequisite courses focused on key AI mathematics. You will not be invited to the placement exam unless you finish all of the courses here! (You can finish the python track instead) Content included in the exam: - Included: Videos, readings and assignments. - Excluded: all labs & programming assignments
Learning objectives
- Apply vector and matrix algebra operations to solve machine learning problems using Python programming.
- Optimize functions in machine learning using derivatives, gradients, and iterative methods like gradient descent.
- Quantify uncertainty in machine learning predictions using probability distributions and statistical methods.
Skills learned
- Machine Learning Methods
- Statistical Machine Learning
- Probability Distribution
- Probability & Statistics
- Artificial Neural Networks
- Statistical Hypothesis Testing
- Descriptive Statistics
- Linear Algebra
- Bayesian Statistics
- Dimensionality Reduction
- Applied Mathematics
- Exploratory Data Analysis
- Statistical Inference
- Statistical Visualization
- Mathematical Modeling
- Numerical Analysis
- Derivatives
- NumPy
- Statistical Analysis
- Data Transformation
- Data Science
- Calculus
- Probability
- Sampling (Statistics)
- Skills section collapsed. Showing 7 of 24 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.