AIML01 - A.I. Literacy
1024506
Delivery Methods
Online (Live)
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Program Description
Registration for Fall 2026 will open in June!
This professional certificate program introduces students to foundational concepts in A.I., including an overview of the field, a discussion of different model types, and conversations on ethical considerations. No prior experience required.
Earn a Badge
At the end of this certificate, participants are eligible to earn a badge by completing and passing an assessment.
Who Should Attend
- Anyone who is looking to gain a high-level understanding about artificial intelligence, the underlying technologies that make A.I. possible, and how A.I. might apply to their lives and careers.
- Participants without prior artificial intelligence/machine learning/programming experience but who want to learn about the field.
Learning Objectives
- Define terms like artificial intelligence (A.I.), data science (DS), and machine learning (ML) and understand the differences
- Gain an appreciation for the importance of quality data and its vital role in building accurate AI/ML systems
- Understand the concepts behind different subfields within A.I./ML, including supervised learning, unsupervised learning, and deep learning
- Gain hands on experience training and evaluating a machine learning model
- Become familiar with the ways that A.I. systems can fail and the ethical considerations that are needed by those who build and use A.I. systems
- Understand how A.I. applies to both life and career
Instructors/Subject Matter Experts
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Dr. Gabriel Wright is an Assistant Professor of Computer Science at the Milwaukee School of Engineering. He graduated with a Ph.D. in Computer Science and Engineering from the University of Notre Dame in May 2021. Gabriel’s primary research work is in computational biology, specifically studying the effects of rare codons on resulting protein expression, folding, and function.