Udemy

Amazon SageMaker

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  • 4,696 Students
  • Updated 5/2024
4.5
(663 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 3 Minute(s)
Language
English
Taught by
Jose Portilla, Pierian Training
Rating
4.5
(663 Ratings)
1 views

Course Overview

Amazon SageMaker

Learn how to leverage the power of AWS SageMaker for your Machine Learning and AI Projects on AWS!

Welcome to the ultimate online learning experience with our comprehensive AWS SageMaker Bootcamp course on Udemy!

This meticulously designed course is your gateway to mastering AWS SageMaker, a powerful cloud machine learning platform that allows developers to build, train, and deploy machine learning models quickly.

Embark on a learning journey starting with an introduction to the course, where we cover frequently asked questions, provide essential course downloads, and give you a detailed curriculum overview. We'll also guide you through setting up your AWS console, ensuring you're prepared to dive deep into the world of AWS SageMaker.

Delve into the heart of AWS SageMaker with an in-depth exploration of what SageMaker is and how to navigate its console. Learn about SageMaker domains and how to create your own, setting the stage for practical, hands-on learning.

Transform your theoretical knowledge into practical expertise with our section on SageMaker Notebook Instances. Discover the power of SageMaker Notebooks, learn how to utilize them effectively, and engage in a project that puts your newly acquired knowledge to the test.

Advance your skills further with the Amazon SageMaker Python SDK. This section introduces you to the SageMaker Python Library, data processing techniques, and leads you through a project that leverages SageMaker's auto ML capabilities.

Explore the possibilities with SageMaker Canvas, starting with an introduction to Auto ML. Discover the Canvas Overview, and dive into data import, data wrangling, preparation, and inference using ready-to-use models. Learn about custom model creation, model evaluation, and inference to broaden your machine learning capabilities.

This course is designed for learners of all levels interested in AWS SageMaker, from beginners to advanced users looking to refine their skills. Whether you're aiming to advance your career, embark on new machine learning projects, or simply passionate about cloud computing and machine learning, this course is the perfect stepping stone to achieving your goals. Join us on this exciting journey to mastering AWS SageMaker.

Course Content

  • 6 section(s)
  • 30 lecture(s)
  • Section 1 Introduction to Course
  • Section 2 Introduction to AWS SageMaker
  • Section 3 SageMaker Canvas
  • Section 4 SageMaker JumpStart
  • Section 5 SageMaker via Python SDK
  • Section 6 Foundational Models on Amazon Bedrock

What You’ll Learn

  • Learn to set up and navigate the AWS SageMaker console for machine learning projects.
  • Understand the fundamentals of AWS SageMaker, including domains and notebook instances.
  • Identify how to utilize SageMaker Notebook Instances for machine learning development.
  • Define the capabilities of the Amazon SageMaker Python SDK and its application in data processing.
  • Comprehend the features of SageMaker Studio Classic and its role in machine learning workflows.
  • Master the use of SageMaker Canvas for Auto ML, data import, wrangling, and inference.
  • Discover how to effectively use SageMaker Ground Truth for data labeling projects.
  • Apply comprehensive SageMaker knowledge in real-world scenarios through Capstone Projects.


Reviews

  • A
    Aaron White
    3.5

    good intro, could've used some exercises to test knowledge

  • C
    Christopher Schaeuble
    5.0

    I have really enjoyed how the instructor sets the pace and ensuring to reference other locations to find and verify things as well.

  • C
    Carlos Roberto Ferranti Silva
    5.0

    Muito bom até agora, estou adorando.

  • A
    Akash Kumar Sinha
    5.0

    Excellent course.

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