Summary

Fundamentals of Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) technologies such as virtual assistants and recommender systems have changed our daily lives. This course mainly introduces some fundamentals of AI and ML including their relationship, different types of data, training and testing, common types of learning techniques (supervised and unsupervised learning) and applications (regression, classification, and clustering).

Course Overview

Students will understand the fundamentals of AI and ML and solve some simple regression, classification and clustering problems in this online, asynchronous course.

Prerequisites: Basic python programming skills

Students completing this course will earn 3 PDHs (Professional Development Hours).
Please direct questions about the course to Help@hprc.tamu.edu . For questions related to the registration process, please contact TEES EDGE.

Target Audience

Students with interest in fundamentals of AI/ML

Registration Fee and Payment Information

The registration cost for this course is $75.00

Sponsor

Since 1876, Texas A&M Engineering has empowered generations of problem solvers who have helped shape the world. TEES EDGE is Texas A&M’s gateway to lifelong engineering education and innovation for professionals.

Share:

Facebook

x

Cvent Privacy Policy