AWS Certified Machine Learning: AI/ML Services

Amazon Web Services    |    Intermediate
  • 12 videos | 1h 8m 51s
  • Includes Assessment
  • Earns a Badge
Rating 4.8 of 49 users Rating 4.8 of 49 users (49)
Amazon offers a variety of high-level no-code services for specialized machine learning (ML) tasks. These services are primarily used to implement complex pre-built algorithms for using ML with textual and visual information. Use this course to learn more about these services. Use this course to explore services, such as Amazon Kendra, Transcribe, Polly, Rekognition, Personalize, and Textract in greater detail. You'll also delve into other AWS AI/ML services through case studies. After you're done with this course, you'll be able to describe the use cases of these services and have a general overview of how to combine multiple AWS AI/ML services to work within a single application. Moreover, you'll be a step closer to preparing for the AWS Certified Machine Learning - Specialty certification exam

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Extract insights and patterns from unstructured text using natural language processing
    Increase information accessibility of apps by introducing an ai-powered search engine
    Increase the usability of apps by adding speech-to-text features
    Describe how to enhance applications by giving them a voice
    Analyze images and videos in applications to distinguish assets and extract meaningful information
  • Increase customer retention by adding personalized recommendations powered by amazon's past data
    Work with amazon forecast to accurately forecast time series without any machine learning (ml) experience
    Work with amazon textract to parse millions of documents in no time and integrate them with augmented ai
    Describe other ai/ml services in aws such as fraud detection, amazon lex, and amazon translate
    Outline how to integrate multiple ai/ml services to create an automated system
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 13s
  • 7m 2s
    After completing this video, you will be able to extract insights and patterns from unstructured text using natural language processing. FREE ACCESS
  • Locked
    3.  Using Amazon Kendra
    8m 3s
    In this video, find out how to increase the accessibility of information in apps by introducing an AI-powered search engine. FREE ACCESS
  • Locked
    4.  Using Amazon Transcribe
    8m 5s
    Upon completion of this video, you will be able to increase the usability of apps by adding speech-to-text features. FREE ACCESS
  • Locked
    5.  Working with Amazon Polly
    5m 3s
    During this video, you will learn how to describe how to enhance applications by adding voice features. FREE ACCESS
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    6.  Exploring Amazon Rekognition
    6m 12s
    Find out how to analyze images and videos in applications to distinguish assets and extract meaningful information. FREE ACCESS
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    7.  Using Amazon Personalize
    7m 3s
    Learn how to increase customer retention by adding personalized recommendations powered by Amazon's past data. FREE ACCESS
  • Locked
    8.  Working with Amazon Forecast
    5m 49s
    In this video, you will learn how to work with Amazon Forecast to accurately forecast time series without any machine learning experience. FREE ACCESS
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    9.  Working with Amazon Textract
    7m 17s
    During this video, you will discover how to work with Amazon Textract to parse millions of documents quickly and integrate them with Augmented AI. FREE ACCESS
  • Locked
    10.  Other Amazon AI/ML Services
    6m 33s
    In this video, you will learn how to describe other AI/ML services in AWS such as fraud detection, Amazon Lex, and Amazon translate. FREE ACCESS
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    11.  Case Studies of AI/ML Services
    4m 36s
    Discover how to outline how to integrate multiple AI/ML services to create an automated system. FREE ACCESS
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    12.  Course Summary
    54s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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