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).

Registration Overview

Prerequisites: Basic python programming skills

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

Learning Description

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

Registration Fee

The registration cost for this course is $75.00

Target Audience

Students with interest in fundamentals of AI/ML

Sponsors

Since 1876, Texas A&M Engineering has awarded more than 116,000 degrees to talented problem solvers who have helped to change the world. TEES EDGE is Texas A&M’s access point for lifelong engineering education and innovation for professionals.

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