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Generative AI: Fundamentals, Applications, and Challenges
University of Michigan via Coursera
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Overview
"Generative AI: Fundamentals, Applications, and Challenges" is a comprehensive course designed to introduce learners to the foundational principles, real-world applications, and pressing challenges of generative artificial intelligence. Aimed at both technical and non-technical audiences, the course begins by unpacking the core concepts of generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and large language models like GPT.
Syllabus
- Introduction to the Course
- Use Cases of Generative AI
- Responsible Generative AI Concepts
University of Michigan via Coursera
2 hours 44 minutes
Paid Certificate Available
English
On-Demand
Beginner
Instructor
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