Practical Data Science with Amazon SageMaker

Learn how to use Amazon SageMaker to cover the different stages of a typical data science process.

LEVEL

Intermediate

DURATION

1 Day

MODALITY

In-person with hands-on labs

INVESTMENT

$850 + GST
(AUD / NZD / SGD)

Practical Data Science with Amazon SageMaker teaches you how to use Amazon SageMaker to cover the different stages of a typical data science process.

This includes everything from analysing and visualising a data set, preparing the data and feature engineering, down to the practical aspects of model building, training, tuning and deployment.

You’ll learn how to solve a real-world use case with machine learning, producing actionable results with Amazon SageMaker.

This course is delivered in-person by a certified AWS trainer. Instructor led classroom training has been shown to deliver the best learning outcomes.

What you’ll learn

  • How to apply Amazon SageMaker to a specific use case and dataset
  • How to practice all the steps of the typical data science process
  • How to visualise and understand the dataset
  • How the attributes of the dataset relate to each other
  • How to prepare the dataset for training
  • How to use built-in algorithms
  • How to train models with Amazon SageMaker using built-in algorithms
  • How to explore results and performance of the model, and demonstrate how it can be tuned and executed outside of Amazon SageMaker
  • How to run predictions on a batch of data with Amazon SageMaker
  • How to deploy a model to an endpoint in Amazon SageMaker for real-time predictions
  • How to configure an endpoint for serving predictions at scale
  • How to understand Hyperparameter Optimization (HPO) with Amazon SageMaker to find optimal model parameters
  • How to perform A/B model testing using Amazon SageMaker
  • How to perform the domain-specific cost of errors analysis to further tune

Download Course Outline.

Who should attend

  • Data Science Practitioners
  • Machine Learning Practitioners
  • Developers and Engineers
  • Systems Architects

Course Outline

Get immediate access to the course outline for Practical Data Science with Amazon SageMaker. The outline will give you a better feel for the structure of the course and what the day involves.

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Course Schedule

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On-Site Training

Need to run this course for 10+ people? We can organise on-site training for you and your team.

Download Course Outline

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