AWS Certified Machine Learning: Machine Learning in SageMaker

Amazon Web Services 2021    |    Intermediate
  • 12 Videos | 1h 32m 8s
  • Includes Assessment
  • Earns a Badge
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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
  • Locked
    4. 
    Working with Common Tasks in SageMaker Studio
    8m 48s
  • Locked
    5. 
    Building ML Solution with SageMaker JumpStart
    8m 33s
  • Locked
    6. 
    Linear Learner & XGBoost in SageMaker
    11m 14s
  • Locked
    7. 
    Classifying Images with SageMaker
    17m 8s
  • Locked
    8. 
    Object Detection with SageMaker
    5m 36s
  • Locked
    9. 
    Semantic Segmentation with SageMaker
    5m 22s
  • Locked
    10. 
    How to Perform Model Tuning with SageMaker
    7m 6s
  • Locked
    11. 
    Performing Model Tuning and Training with SageMaker
    7m 46s
  • Locked
    12. 
    Course Summary
    1m

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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