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.
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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.
This course is designed for students, early career professionals, and non-Machine Learning practitioners eager to learn more about Generative AI. The material is "code free" and builds a foundation of knowledge that can be applied towards advanced learning in the areas of Generative AI and machine learning.
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
Syllabus
Fundamentals of Generative AI for Beginners
The History of Generative AI
The Growth of Generative AI
Students will learn about prompts and large language models
Model Training, Evaluation, & Performance
