University of Michigan
Generative AI: Fundamentals, Applications, and Challenges
University of Michigan

Generative AI: Fundamentals, Applications, and Challenges

Merve Hickok

Instructor: Merve Hickok

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.9

(21 reviews)

Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.9

(21 reviews)

Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the basics of generative AI

  • Discuss the application of generative AI

  • Describe the general risks associated with generative AI systems

Details to know

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Recently updated!

June 2024

Assessments

4 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Responsible Generative AI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 3 modules in this course

What's included

8 videos4 readings1 assignment1 discussion prompt

What's included

1 video1 reading1 assignment1 discussion prompt

What's included

6 videos5 readings2 assignments1 discussion prompt

Instructor

Instructor ratings
4.8 (6 ratings)
Merve Hickok
University of Michigan
8 Courses3,074 learners

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Recommended if you're interested in Machine Learning

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4.9

21 reviews

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DH
5

Reviewed on Jul 19, 2024

AL
4

Reviewed on Jul 18, 2024

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