This introductory course offers a comprehensive exploration of Generative AI, including Transformers, ChatGPT for generating text, and Generative Adversarial Networks (GANs), the Diffusion Model for generating images. By the end of this course, you will gain a basic understanding of these Generative AI models, their underlying theories, and practical considerations. You will build a solid foundation and become ready to dive deeper into more advanced topics in the next course.
Introduction to Generative AI
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4.4
(74 reviews)
Intermediate level
Recommended experience
Flexible schedule
Approx. 9 hours
Learn at your own pace
Build toward a degree
What you'll learn
Learn the key models for Generative AI, including ChatGPT and the Transformer for text, and the GAN and the Diffusion Model for images.
Develop a strong theoretical foundation and practical math skills for Generative AI
Understand the capabilities and limitations of Generative AI
Details to know
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Assessments
21 quizzes, 4 assignments
Taught in English
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There are 4 modules in this course
Welcome to "Introduction to Generative AI." This first week, you will learn about the basics of a Generative Model.
What's included
9 videos2 readings3 quizzes4 assignments1 discussion prompt
This week, you will learn about the Generative Adversarial Network, the first successful deep learning approach to generating realistic looking images, which started a new wave of generative AI research.
What's included
9 videos1 reading6 quizzes
This week, you will learn about Language Models for Generative AI, including Transformer and ChatGPT.
What's included
13 videos3 readings8 quizzes
This week, you will learn about Image Models for Generative AI, from basic probabilistic models to state-of-the art Diffusion Models.
What's included
5 videos1 reading4 quizzes
Instructor
Instructor ratings
4.7 (29 ratings)
Offered by
Recommended if you're interested in Algorithms
Amazon Web Services
University of Michigan
Vanderbilt University
Build toward a degree
This course is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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4.4
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5
Reviewed on Mar 23, 2024
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.