March 3
@
8:00 am
–
March 30
@
5:00 pm
In this course, “Interpretability in AI”, you will learn about various interpretable and explainable machine learning algorithms, a branch of machine learning and AI. This course covers everything you need to know about interpretability, including an overview of basic concepts of interpretability, interpretable models, model-agnostic methods, and example-based explanations. You will also learn how to leverage these interpretable approaches to address the specific real-world problems.
In this course, you will engage in hands-on activities, homework, and instructor consulting to make learning Interpretability in AI enjoyable and rewarding. You will also be able to tackle real-world problems in science and engineering. By the end of this course, you’ll have the skills and confidence to tackle any machine-learning challenge with interpretable methods.
Complete any 3 courses listed below to earn the Foundations in AI badge:
- Basic Python programming
- Basic understanding of machine learning models
- Basic understanding of deep learning models
- Basic PyTorch programming
The course is intended for a broad audience within the spectrum of the software and technology industry, including software engineers, data scientists, data engineers, data analysts, research scientists, and software developers. The course is designed to provide a basic understanding of Interpretability in AI and how to use these methods for a broad range of audiences.
The course starts on March 3, 2025. All coursework must be completed by April 30, 2025, in order to earn the micro-credential badge. You will continue to have access to the course materials until January 1, 2026. The approximate time to complete this course is 16 hours.
This course has an instructional period from March 3 to March 30, 2025. During this instructional period, course materials will be released weekly and live synchronous sessions will be held. You may complete the course materials at your own pace. Live Zoom meetings will be conducted for interactive coding sessions. A suitable time for these live sessions will be determined through a group poll. The recordings of those sessions will be available soon after each meeting.
You will receive the Interpretability in AI micro-credential badge upon successful completion of the course assessments.
Course materials are provided within the course. No additional purchase is required
Registration for TrAC microcredential courses would be as an independent study course with 1 credit per course. Any of the courses in the series are available for credit (each 1 credit and a maximum of 3 credits per semester) as an independent study (ME 590Z) under Dr. Aditya Balu. Students must register for the independent study by emailing benearl@iastate.edu and cc-ing baditya@iastate.edu. Also, fill this google form for our records: https://forms.gle/X615ftuW2cC9NQfj8
Industry Professionals/ISU Staff/Postdocs, etc.:
Industry professionals, ISU Staff, and Postdocs can register to this course as non-credit microcredential badge only through ISU Online for an introductory promo price of $500.
Price: $500 Initial Promo Discounted price (ISU Professionals/Staff and government employees pay $300)
