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.
(82 reviews)
Recommended experience
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
Add to your LinkedIn profile
21 quizzes, 4 assignments
See how employees at top companies are mastering in-demand skills
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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
Offered by
Recommended if you're interested in Algorithms
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
Why people choose Coursera for their career
Learner reviews
82 reviews
- 5 stars
59.75%
- 4 stars
25.60%
- 3 stars
8.53%
- 2 stars
2.43%
- 1 star
3.65%
Showing 3 of 82
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.
Reviewed on Dec 10, 2024
Good selection of material. Well presented. I’m looking forward to the rest of the specialization.
New to Algorithms? Start here.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
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:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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.