This presentation introduces you the features of Amazon SageMaker, including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment without engineering effort. You'll also hear how and why Intuit is using Amazon SageMaker on AWS for real-time fraud detection. (1:02:07)

This webinar dives deeper into Amazon SageMaker, with demos on using neural networks and embeddings for recommendations, and how you can bring your own R algorithm using the sample Juptyer notebooks to get you started. (30:20)

Amazon AI algorithms are a collection of distributed streaming ML algorithms that scale to any amount of data. This presentation describes the distributed streaming model and its numerous benefits to machine learning practitioners, as well as how to invoke large scale learning from Amazon SageMaker. (54:08)

Walk though an overview of how to build, train and deploy machine learning models on Amazon SageMaker, with AWS Evangelist, Julien Simon. (33:05)