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AWS
aws.amazon.com › training › classroom › practical-data-science-with-amazon-sagemaker
Practical Data Science with Amazon SageMaker
AWS Skill Builder is an online learning center where you can learn from AWS experts and build cloud skills online. With access to 600+ free courses, certification exam prep, and training that allows you to build practical skills there's something for everyone.
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Coursera
coursera.org › programs › ohio-techcred-on-uax-extended-campus-2ugve › learning-path › practical-data-science-with-amazon-sagemaker-kquqj
Practical Data Science with Amazon SageMaker
Build, train, and deploy machine learning models using Amazon SageMaker. This course covers key data science concepts, including data preprocessing, model selection, and optimization, while leveraging AWS’s scalable cloud-based tools.
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AWS Marketplace
aws.amazon.com › marketplace › pp › prodview-s6co6c5yadh36
AWS Marketplace: Practical Data Science with SageMaker - 1 Day Instructor-Led Training
... This course walks through the stages of a typical data science process for Machine Learning from analyzing and visualizing a dataset to preparing the data, and feature engineering. Individuals will also learn practical aspects of model building, training, tuning, and deployment with Amazon ...
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Global Knowledge
globalknowledge.com › us-en › course › 182689 › practical-data-science-with-amazon-sagemaker
Practical Data Science with Amazon SageMaker | Global Knowledge
This course teaches you how to ... from analyzing and visualizing a data set, to preparing the data and feature engineering, down to the practical aspects of model building, training, tuning and deployment....
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AWS
aws.amazon.com › about-aws › whats-new › 2019 › 10 › new-classroom-practical-data-science-with-amazon-sagemaker
New Classroom Course: Practical Data Science with Amazon SageMaker
These stages include analyzing and visualizing a data set; preparing the data and feature engineering; and the practical aspects of model building, training, tuning, and deployment with Amazon SageMaker.
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LearnQuest
learnquest.com › course-detail-v3.aspx
Practical Data Science with Amazon SageMaker Training
You will learn how to solve a ... using Amazon SageMaker. This course walks through the stages of a typical data science process for Machine Learning from analyzing and visualizing a dataset to preparing the data, and feature engineering. Individuals will also learn practical aspects of ...
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Pluralsight
pluralsight.com › professional-services › cloud › aws-authorized-training-course-practical-data-science-with-amazon-sagemaker
AWS Authorized Training Course - Practical Data Science with Amazon SageMaker | Online Courses, Learning Paths, and Certifications - Pluralsight
In this course, you will spend a day in the life of a data scientist so that you can collaborate efficiently with data scientists and build applications that integrate with ML. You will learn the basic process data scientists use to develop ...
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Firebrand Training
firebrand.training › amazon web services (aws) › courses › certifications › country › country selection
AWS Practical Data Science with Amazon SageMaker (PDSASM) | Accelerated course
March 26, 2025 - In just 1 day, you’ll learn the fundamentals of the stages of a typical data science process for ML, from analysing and visualising a dataset, to preparing the data and feature engineering. You’ll also learn practical aspects of model building, training, tuning, and deployment with Amazon SageMaker.
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Amazon Web Services
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Practical Data Science with Amazon SageMaker
Practice all the steps of the typical data science process · • · Visualize and understand the dataset · • · Explore how the attributes of the dataset relate to each other · • · Prepare the dataset for training · • · Use built-in algorithms · • · Train models with Amazon SageMaker using built-in algorithms ·
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AWSstatic
d1.awsstatic.com › training-and-certification › classroom-training › practical-data-science-with-amazon-sagemaker.pdf pdf
Practical Data Science with Amazon SageMaker AWS Classroom Training
Practical Data Science with Amazon SageMaker · AWS Classroom Training · © 2023, Amazon Web Services, Inc. or its affiliates. All rights reserved. Course outline · Module 1: Introduction to Machine Learning · • · Benefits of machine learning (ML) • ·
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AWS Marketplace
aws.amazon.com › marketplace › pp › prodview-eiwcpansbjesg
AWS Marketplace: Practical Data Science with Amazon SageMaker (PDSASM)
The course walks through the stages of a typical data science process for machine learning from analyzing and visualizing a dataset to preparing the data, and feature engineering. Individuals will also learn practical aspects of model building, training, tuning, and deployment with Amazon SageMaker.
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AWS Marketplace
aws.amazon.com › marketplace › pp › prodview-iarb2s5qlqt4s
AWS Marketplace: Training: Practical Data Science with Amazon SageMaker
This course teaches you how to use Amazon SageMaker to cover the different stages of the typical data science process, from analyzing and visualizing a data set, to preparing the data and feature engineering, down to the practical aspects of model building, training, tuning and deployment.
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Koenig
koenig-solutions.com › home › aws › practical data science with amazon sagemaker
Practical Data Science with Amazon SageMaker Training
The Practical Data Science with Amazon SageMaker course is a comprehensive program designed to teach learners the ins and outs of machine learning (ML) with a focus on using Amazon SageMaker, a fully managed service that enables developers and ...
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QA
qa.com › home › browse › cloud › practical data science with amazon sagemaker (amwpdsas)
qa.com | Practical Data Science with Amazon SageMaker (AMWPDSAS)
This course walks through the stages of a typical data science process for Machine Learning (ML) from analysing and visualising a dataset to preparing the data, and feature engineering using Amazon SageMaker.
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NetCom Learning
netcomlearning.com › course › practical-data-science-with-amazon-sagemaker
Practical Data Science with Amazon SageMaker Course | Learn ML Models
Master developing, training, and deploying ML models with Amazon SageMaker. Hands-on training with real-world use cases and practical data science techniques.
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Deepdives
deepdives.eu › PracticalDataScienceWithSagemaker
Practical Data Science with Amazon SageMaker
Over the course of one day, you will learn the essential processes that data scientists follow to create ML solutions using Amazon Web Services (AWS) and Amazon SageMaker. The training includes presentations, hands-on labs, and demonstrations ...
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GitHub
github.com › Ashleshk › Practical-Data-Science-on-the-AWS-Cloud-Specialization
GitHub - Ashleshk/Practical-Data-Science-on-the-AWS-Cloud-Specialization: @DeepLearning.AI Practical Data Science Specialization brings together these disciplines using purpose-built ML tools in the AWS cloud. It has helped me to develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker.
The Practical Data Science Specialization brings together these disciplines using purpose-built ML tools in the AWS cloud. It helps you develop the practical skills to effectively deploy your data science projects and overcome challenges at ...
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CloudWizard
cloudwizardconsulting.com › home › aws training › practical data science with amazon sagemaker
Practical Data Science with Amazon SageMaker - Cloud Wizard
September 25, 2025 - Summarize the steps a data scientist takes to evaluate and tune ML models · Summarize the steps to deploy a model to an endpoint and generate predictions · Describe the challenges for operationalizing ML models ...
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Sunsetlearning
sunsetlearning.com › course catalog › practical data science with amazon sagemaker (aws-pdsasm)
Practical Data Science with Amazon SageMaker (AWS-PDSASM) - Sunset Learning Institute
March 28, 2024 - In this course, you will spend a day in the life of a data scientist so that you can collaborate efficiently with data scientists and build applications that integrate with ML. You will learn the basic process data scientists use to develop ML solutions on Amazon Web Services (AWS) with Amazon ...