Generative AI on AWS: Building GenAI Models with Amazon SageMaker

“This comprehensive course introduces learners to the world of generative artificial intelligence (AI) models within machine learning (ML) focusing on Amazon SageMaker as a prime tool for design trAIning optimization deployment and monitoring.

In this course we will begin with a deep dive into the fundamental concepts and types of generative models like generative adversarial networks (GANs) and variational autoencoders (VAEs). We will explore their pros cons and relevant architectures. Next we will use hands-on tutorials and in-depth discussions to guide you through the steps of designing a GAN architecture leveraging SageMaker s built-in algorithms preprocessing data and distributed trAIning capabilities. We will then delve into optimization techniques transfer learning and quality evaluation methods looking at ways apply these concepts in real-world scenarios. Lastly we will introduce deployment strategies in SageMaker highlighting how to serve models as endpoints for real-time inferences and how to efficiently monitor and troubleshoot their generative models. “