Elevate your machine learning skills with our comprehensive course, "Generative Models". This course covers everything you need to know about generative models, from the basics of discriminative vs. generative models to advanced techniques like variational autoencoders, generative adversarial networks, and diffusion models.

Engage in hands-on activities, solve real-world problems in image and time-series generation, and receive expert guidance from our instructors. By the end of this course, you’ll have the knowledge and confidence to tackle any machine-learning challenge using generative models. Join us and become a leader in the AI field!

This course is one of 6 courses in the Foundations of AI pilot micro-credential pathway offered by the Translational AI Center at Iowa State University.

For more information regarding the course including: Learning Outcomes, Assessments, and a Course Outline please visit the Generative Models course page from Iowa State Online.

Prerequisite

• Basic Python programming
• Basic understanding of deep learning models
• Basic understanding of generative AI
• Basic PyTorch programming

Intended Audience
The course is intended for a broad audience within the spectrum of the software and technology industry, including software engineers, data scientists, data engineers, data analysts, research scientists, and software developers. The course is designed to provide a basic understanding of generative models and how to use these models for a broad range of audiences.