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Amazon SageMaker

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May 1, 2024 Updated June 22, 2025 18 minute read

Amazon SageMaker: Your Compass in the World of Machine Learning

Amazon SageMaker is a comprehensive, fully managed service provided by Amazon Web Services (AWS) that empowers developers and data scientists to build, train, and deploy machine learning (ML) models at scale. It aims to simplify the complex ML workflow by providing a suite of tools and infrastructure to cover every stage of the machine learning lifecycle. This means you can go from initial data preparation and exploration to model training, hyperparameter tuning, and eventually, deploying your model into a production environment, all within a single, integrated platform. SageMaker is designed to be accessible to users with varying levels of ML expertise, offering both high-level automated tools and deep customization options for experienced practitioners.

Path to Amazon SageMaker

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We've curated 19 courses to help you on your path to Amazon SageMaker. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Amazon SageMaker.
Provides a hands-on introduction to machine learning with Amazon SageMaker, covering all the steps from data preparation to model deployment.
Provides a comprehensive overview of using Amazon SageMaker with Scikit-Learn, covering all the key concepts and features of the platform.
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