Certificate in AI Foundations: Data Analytics and Machine Learning

This certificate provides learners with a strong foundation in programming, data analytics, and machine learning. It is designed for individuals beginning their exploration of data-driven technologies and artificial intelligence. Learners develop core programming skills with an emphasis on working with data, including analysis, visualization, and introductory machine learning concepts. The program builds progressively to cover data acquisition, transformation, and manipulation, as well as techniques for managing and processing large-scale and complex datasets. Learners gain experience analyzing data to uncover patterns, draw meaningful insights, and make informed predictions. Through hands-on projects, participants apply supervised, unsupervised, and reinforcement learning techniques to real-world problems. Overall, the certificate equips learners with problem-solving, analytical, and computational skills essential for applying machine learning and data analytics within artificial intelligence applications. Additionally, the 9 credit hours earned from this certificate (with a cumulative GPA of 3.0) satisfy the Performance Based Admission criteria for the Master's of Science in Computer Science and all 9 credit hours count towards the Master's of Science in Data Science program.

9 credit hours

Required courses, 9 credits:

CS 617	Introduction to Programming	3
CS 621	Data Analytics	3
CS 654	Machine Learning and Data Mining	3

Total Credit Hours: 9