Amazon Sagemaker Basics Guide 2022

Amazon Sagemaker Basics Guide 2022

Amazon Sagemaker Basics Guide 2022

Everything you need to know about Amazon Sagemaker

Language: english

Note: 3.0/5 (44 notes) 22,650 students

Instructor(s): Learn Tech Plus

Last update: 2022-07-13

What you’ll learn

  • Amazon Sagemaker

 

Requirements

  • Willingness to learn

 

Description

Have you always wanted to learn how to do use Amazon SageMaker but don’t know where to start?

Would you like to learn about Machine Learning?

Then Amazon SageMaker Ultimate Course is for you!

Hi, I’m your instructor Josh Werner and I’ll be leading you through this course.

Amazon SageMaker is an in-demand skill in 2021. 

The course begins with the basics. We’ll Cover everything you need to know about Amazon SageMaker from scratch.

I’ll take you through everything you need to know to start learning Machine Learning like an expert.

Next, you’ll learn all the fundamentals of Amazon SageMaker and how you can learn Machine Learning.

This is great for students starting that need a refresher course on Amazon SageMaker.

There are no requirements necessary to enroll I only ask that you come open minded and ready to learn.

Feel Free to look through the course description and checkout some of my preview videos.

The course is packed with over 1 hour of hands-on tutorials


Here is What You Will Learn:


01. Introduction

01. Overview

02. Create AWS Account

02. Setup Account

03. Amazon Sagemaker

03. SageMaker Studio

04. Dashboard

05. Search

06. Images

04. Ground Truth

07. Labeling Jobs

08. Labeling Datasets

09. Labeling Workforces

05. Notebook

10. Notebook Instances

11. Lifecycle Configurations

12. Git Repositories

06. Processing

13. Processing Jobs

07. Training

14. Algorithms

15. Training Jobs

16. Hyperparameter Tuning Jobs

08. Interface

17. Compilation Jobs

18. Model Packages

19. Models

20. Endpoint Configurations

21. Endpoints

22. Batch Transform Jobs

09. Edge Manager

23. Get Started

24. Edge Packaging Jobs

25. Edge Device Fleets

26. Edge Devices

10. Augmented AI

27. Human Review Workflows

28. Worker Task Templates

29. Human Review Workforces

11. AWS Marketplace

30. Model Packages

31. Algorithms

32. AWS Data Exchange

33. All Products

12. Conclusion

34. Summary

So what are you waiting for? I look forward to going through course with you I’ll see you inside!



 

Who this course is for

  • Beginner to Advanced Students wanting to Learn Amazon Sagemaker

 

Course content

  • Introduction
    • Welcome
  • Create AWS Account
    • Setup Account
  • Amazon Sagemaker
    • SageMaker Studio
    • Dashboard
    • Search
    • Images
  • Ground Truth
    • Labeling Jobs
    • Labeling Datasets
    • Labeling Workforces
  • Notebook
    • Notebook Instances
    • Lifecycle Configurations
    • Git Repositories
  • Processing
    • Processing Jobs
  • Training
    • Algorithms
    • Training Jobs
    • Hyperparameter Tuning Jobs
  • Interface
    • Compilation Jobs
    • Model Packages
    • Models
    • Endpoint Configurations
    • Endpoints
    • Batch Transform Jobs
  • Edge Manager
    • Get Started
    • Edge Packaging Jobs
    • Edge Device Fleets
    • Edge Devices
  • Augmented AI
    • Human Review Workflows
    • Worker Task Templates
    • Human Review Workforces
  • AWS Marketplace
    • Model Packages
    • Algorithms
  • Conclusion
    • Summary
  • Introduction
    • Overview
  • Amazon Sagemaker
    • Overview
    • What is Amazon Sagemaker
    • Machine Learning with Sagemaker
    • Explore Analyze and Process Data
    • Model Training
    • Model Deployment
    • Batch Transform
    • Validating Models
    • Model Monitoring
    • ML Frameowkrs Python & R
    • Supported Regions and Quotas
  • Conclusion
    • Thank You

 

Amazon Sagemaker Basics Guide 2022

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