With today's advancements in technology, the realm of generative AI has become more and more prominent. In this course, you will explore the foundation for creating transformer models to generate text and images. You will be guided through each process to generate text using transformers, generate images from images, and generate images from noise. You will be introduced to the building blocks that make up transformers as well as to options for fine-tuning your model to achieve better output results. Through activities and a hands-on project, you'll practice implementing your own generative models and gain the skills and understanding to support your work.

The following courses are required to be completed prior to starting this course:

• Problem-Solving With Machine Learning
• Estimating Probability Distributions
• Learning With Linear Classifiers
• Decision Trees and Model Selection
• Debugging and Improving Machine Learning Models
• Learning With Kernel Machines
• Deep Learning and Neural Networks