Generative AI is a disruptive technology and its impact has been immense. It is causing businesses to rethink customer strategies and redesign their products, chipmakers are scrambling to keep up with the increased demand for processors, and in academia, educators are altering learning paths and curriculums in every field of study. The material presented in this course will introduce you to the world of generative AI and uncover some of the ingredients that make up this groundbreaking field. Using basic terms and a few simple examples, we will explain what generative AI is, what makes it work, and help build a foundation of knowledge that takes you to the next step on your learning journey. Throughout the course, you'll learn what large language models, neural networks, training data sets, and prompts are. You'll also become familiar with some tools and processes used to build generative AI applications.
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Fundamentals of Generative AI for Beginners
Instructor: Curtis Evans
5,240 already enrolled
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(44 reviews)
What you'll learn
What is generative AI (GenAI)
How GenAI works
Discover important concepts like large language models, datasets, and prompts
Learn the components that are used to build and run generative AI solutions
Skills you'll gain
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There are 4 modules in this course
What's included
1 video3 readings
What's included
4 videos1 reading1 assignment
Students will learn about prompts and large language models
What's included
5 videos4 readings1 assignment
What's included
4 videos4 readings2 assignments1 plugin
Instructor
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Recommended if you're interested in Design and Product
DeepLearning.AI
Fractal Analytics
University of Michigan
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Reviewed on Jun 13, 2024
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