Course Overview

This course has been designed to give participants the mathematical and computational background required to pursue further courses in the Vector AI Certificate Program for Industry, including Introduction to Machine Learning, Introduction to Deep Learning I & II, and Introduction to Reinforcement Learning.

Computational Thinking for Artificial Intelligence provides an overview of the mathematical and computational foundation that is required to build artificial intelligence and machine learning systems. Participants will also gain an understanding of the historical context, breadth, and current state of the field.

The course will cover fundamental tools and techniques used in machine learning and artificial intelligence, including scientific computing and data analysis in the Python programming language; mathematical foundations; and fundamentals of modeling. We will talk about some basic machine learning algorithms, but we won’t cover any advanced machine learning models or concepts. The course will be split into a series of intensive modules that start with the basic background and principles of core technical artificial intelligence and machine learning, and end with how to apply this foundational knowledge to concrete problems on real datasets.