AWS
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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.
Videos
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Practical Data Science on Amazon SageMaker - Auckland - PAUL COLMER ...
03:55:29
AI Engineering with AWS SageMaker: Crash Course for Beginners! ...
51:16
SageMaker Friday episode 1 - How to build, train and deploy and ...
22:44
End-to-End Machine Learning Project Using AWS SageMaker - YouTube
57:35
Sagemaker Your All-in-One Data and AI Platform - Lets Talk About ...
01:03:07
Practical Data Science on AWS: Generative AI - YouTube
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 ...
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.
LearnQuest
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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 ...
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.
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 ·
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) • ·
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.
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.
Koenig
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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 ...
New Horizons
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Practical Data Science with Amazon SageMaker | New Horizons
Practical Data Science with Amazon SageMaker - Outline and Schedule for SageMaker training and certification from New Horizons.
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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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 ...