AWS Certified Machine Learning: Machine Learning in SageMaker

Amazon Web Services 2021    |    Intermediate
  • 12 Videos | 1h 27m 8s
  • Includes Assessment
  • Earns a Badge
Likes 4 Likes 4
Amazon SageMaker provides broad-set capabilities for machine learning (ML) as it helps to prepare, train, and quickly deploy ML models. Use this course to learn more about the basic capabilities of SageMaker and work with it to implement solutions to various machine learning problems. Explore features and functionalities of SageMaker through practical demos and discover how to implement hyperparameter tuning. This course will also help you explore algorithms in SageMaker, such as linear learner, XGBoost, object detection, and semantic segmentation. After completing this course, you'll be able to train and tune a range of algorithms in order to solve simple classification tasks for natural language processing (NLP) and computer vision.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    describe the features and capabilities of Amazon SageMaker
    work with the basic features of Amazon SageMaker
    work with common SageMaker Studio tasks, such as clone a git repository, upload files, and stop training jobs
    build machine learning (ML) solutions by selecting existing resources and launch them with a single click in SageMaker Studio
    outline how to use Linear Learner and XGBoost (eXtreme Gradient Boosting) for classification and regression problems
  • build and train an image classification model in SageMaker
    describe how object detection algorithms built on top of VGG and ResNet work to predict the objects present in the image and their confident score
    recognize the use of SageMaker’s semantic segmentation algorithm to predict the class of each pixel in an image and get shapes of objects
    describe hyperparameter tuning jobs in SageMaker and name recommended practices
    create a SageMaker notebook to train and finetune an object detection algorithm
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    2m 9s
    UP NEXT
  • Playable
    2. 
    Introducing Amazon SageMaker
    7m 5s
  • Locked
    3. 
    Getting Started with SageMaker Studio
    5m 21s
    FREE ACCESS
  • Locked
    4. 
    Working with Common Tasks in SageMaker Studio
    8m 48s
    FREE ACCESS
  • Locked
    5. 
    Building ML Solution with SageMaker JumpStart
    8m 33s
    FREE ACCESS
  • Locked
    6. 
    Linear Learner & XGBoost in SageMaker
    11m 14s
    FREE ACCESS
  • Locked
    7. 
    Classifying Images with SageMaker
    17m 8s
    FREE ACCESS
  • Locked
    8. 
    Object Detection with SageMaker
    5m 36s
    FREE ACCESS
  • Locked
    9. 
    Semantic Segmentation with SageMaker
    5m 22s
    FREE ACCESS
  • Locked
    10. 
    How to Perform Model Tuning with SageMaker
    7m 6s
    FREE ACCESS
  • Locked
    11. 
    Performing Model Tuning and Training with SageMaker
    7m 46s
    FREE ACCESS
  • Locked
    12. 
    Course Summary
    1m
    FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform

Digital badges are yours to keep, forever.

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