In this AWS Virtual Workshop, machine learning specialists Emily Webber and Mani Khanuja explore how to build generative AI applications using Amazon SageMaker. They discuss popular use cases like image generation, text summarization, and code generation, showcasing examples from AWS customers like Stability AI and LG. The presenters demonstrate how to use SageMaker's foundation model hub to access both proprietary and open-source models, and walk through the process of prompt engineering, fine-tuning, and deploying models. They highlight SageMaker features for distributed training, large model inference, and optimization techniques to improve performance and reduce costs. The workshop provides a comprehensive overview of generative AI capabilities on AWS, from getting started with existing models to training custom foundation models at scale.