Generative AI: Fundamentals, Applications, and Challenges
The rapidly evolving landscape of generative artificial intelligence (AI) means that both novice and skilled users alike should be aware of the proper...
By Merve Hickok on Coursera
About This Course
The rapidly evolving landscape of generative artificial intelligence (AI) means that both novice and skilled users alike should be aware of the proper applications and challenges of these powerful tools. In “Generative AI: Fundamentals, Applications, and Challenges,” you’ll discuss the potential benefits, uses, and challenges of a variety of applications for generative AI. Explore the impact these tools could have on business, operations, consumers, society, and the environment. Aspects of the course also dive into the general risks associated with this technology, including issues such as copyright infringement, outdated data, malicious attack surfaces, bias, and more. Throughout this course, you'll gain a strong baseline of knowledge for generative AI, one that will allow you to explore further considerations about its impact on businesses and society.
Topics Covered
Frequently Asked Questions
How much does Generative AI: Fundamentals, Applications, and Challenges cost?
Visit the Generative AI: Fundamentals, Applications, and Challenges course page for current pricing and available discounts.
Who teaches Generative AI: Fundamentals, Applications, and Challenges?
Generative AI: Fundamentals, Applications, and Challenges is taught by Merve Hickok, University of Michigan.
What skill level is Generative AI: Fundamentals, Applications, and Challenges for?
This course is designed for beginner learners.
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