Implementing AI With Amazon ML

Amazon ML 2020    |    Expert
  • 15 Videos | 45m 5s
  • Includes Assessment
  • Earns a Badge
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Amazon offers AI developers a wide variety of tools and frameworks including Amazon Web Services (AWS) and the Amazon Machine Learning (ML) framework. By integrating complex machine and deep learning development with the extensive computing capabilities of Amazon, Amazon ML allows AI developers to adopt big data AI services. With many companies actively using AWS and Amazon ML, a basic knowledge of this framework is beneficial. In this course, you'll learn how to use Amazon ML together with AWS, to work with big data, and to create machine and deep learning models. You'll also examine the basics of automated model deployment with Amazon SageMaker. Next, you'll explore how to use Amazon ML for image and video analysis, text-to-speech translation, and text analytics. Finally, you'll implement a system to analyze movie review sentiment using the Amazon ML framework.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    describe the Amazon ML Framework and which features facilitate the implementation of AI
    recognize the simplicity of using big data for AI development through Amazon ML
    outline the key benefits of using Amazon ML for AI development
    compare the main features of AWS with Amazon ML and define how to use Amazon ML with AWS
    contrast Amazon ML with other frameworks and identify the advantages and disadvantages of using Amazon ML in AI development
    describe how to create machine learning models using Amazon ML
    illustrate how to create deep learning models using Amazon ML
  • outline how to use Amazon SageMaker for automated machine learning model deployment
    give examples of how the Amazon ML Rekognition toolkit is used for image and video analysis
    give examples of how the Amazon ML Polly toolkit is used for text-to-speech translation
    give examples of how the Amazon ML Comprehend toolkit is used for text analytics
    find key documents and resources for in-depth information about the Amazon ML framework
    work with the Amazon ML framework to implement movie review sentiment analysis
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 28s
    UP NEXT
  • Playable
    2. 
    The Amazon ML Framework
    2m 4s
  • Locked
    3. 
    Big Data in AI With Amazon ML
    2m 10s
  • Locked
    4. 
    Benefits of Using Amazon ML
    2m 39s
  • Locked
    5. 
    Amazon Web Services vs. Amazon ML
    1m 59s
  • Locked
    6. 
    Amazon ML vs. Other Frameworks
    2m 43s
  • Locked
    7. 
    Machine Learning With Amazon ML
    2m 55s
  • Locked
    8. 
    Deep Learning With Amazon ML
    3m 37s
  • Locked
    9. 
    Build, Train, and Deploy Models in Amazon SageMaker
    2m 42s
  • Locked
    10. 
    Image and Video Analysis: Amazon Rekognition
    3m 26s
  • Locked
    11. 
    Text-to-speech: Amazon Polly
    3m 14s
  • Locked
    12. 
    Text Analytics: Amazon Comprehend
    3m
  • Locked
    13. 
    Amazon ML Documentation, Community, and Tutorials
    51s
  • Locked
    14. 
    Prediction: IMDB Movie Review Sentiment
    5m 9s
  • Locked
    15. 
    Course Summary
    39s

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