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Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK

Building deep learning applications with Amazon SageMaker

Denis Batalov (Amazon)
9:00–12:30 Tuesday, 9 October 2018
Implementing AI
Location: Blenheim Room - Palace Suite
Secondary topics:  Deep Learning tools, Platforms and infrastructure

Who is this presentation for?

  • Engineering managers and anyone interested in using SageMaker

Prerequisite knowledge

  • Familiarity with Python, a deep learning framework, and concepts like cloud instances, S3, AWS permissions, and containers

Materials or downloads needed in advance

  • An AWS account with admin privileges and service limits for at least one SageMaker GPU instance

What you'll learn

  • Learn how to use SageMaker to quickly go from machine learning concept to production-ready model


Join Denis Batalov for an overview of the Amazon SageMaker machine learning platform. Denis walks you through setting up an Amazon SageMaker notebook (a hosted Jupyter Notebook server), using a built-in SageMaker deep learning algorithm, and building your own neural network architecture using SageMaker’s prebuilt TensorFlow containers.

Photo of Denis Batalov

Denis Batalov


Denis Batalov is a principal solutions architect at AWS EMEA, helping customers adopt AI and ML technologies. A 13-year Amazon veteran, Denis has worked on such exciting projects as Search Inside the Book, Amazon Mobile apps, and Kindle Direct Publishing. He is a frequent public speaker. Denis holds a PhD in machine learning. You can follow him on Twitter at @dbatalov.