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
Gain insight into a topic and learn the fundamentals.
4.4
(84 reviews)
Intermediate level
Recommended experience
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
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
25 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 readings7 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 assignments
This week, you will learn about Language Models for Generative AI, including Transformer and ChatGPT.
What's included
13 videos3 readings8 assignments
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 assignments
Instructor
Instructor ratings
4.7 (33 ratings)
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4.4
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LZ
5
Reviewed on Mar 23, 2024
Incredible Course, extremely friendy to beginers. I can completely comprehend the contents of the course as a high school student, the terminologies are also well and repeatedly explained.
KP
4
Reviewed on Dec 10, 2024
Good selection of material. Well presented. I’m looking forward to the rest of the specialization.
Recommended if you're interested in Computer Science
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