APIs & Machine Learning

Google Cloud    |    Intermediate
  • 9 videos | 59m 37s
  • Includes Assessment
  • Earns a Badge
Rating 4.7 of 39 users Rating 4.7 of 39 users (39)
Machine learning and ML APIs are part of the Cloud ML engine. Explore the various ML APIs and how to implement an app that uses the Vision API.

WHAT YOU WILL LEARN

  • Define the cloud ml engine and its purpose with gcp
    Describe the machine learning workflow and how the process works in various scenarios
    Define the vision api and its purpose
    Describe the natural language api and its relevance in gcp
    Recall translation api and speech api best practices
  • Demonstrate the use of various apis
    Work with the ml rest api using the translation api
    Use the cloud vision api with a kubernetes cluster
    Describe the use of machine learning, including the common apis

IN THIS COURSE

  • 7m 16s
    In this video, you will learn how to define the Google Cloud ML Engine and its purpose. FREE ACCESS
  • 5m 31s
    Upon completion of this video, you will be able to describe the machine learning workflow and how the process works in various scenarios. FREE ACCESS
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    3.  Using the Vision API
    2m 30s
    In this video, you will learn about the Vision API and its purpose. FREE ACCESS
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    4.  Using the Natural Language API
    4m 13s
    Upon completion of this video, you will be able to describe the Natural Language API and its relevance to GCP. FREE ACCESS
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    5.  Using the Translation and Speech API
    6m 6s
    Upon completion of this video, you will be able to recall the best practices for Translation API and Speech API. FREE ACCESS
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    6.  Invoking ML APIs
    5m 58s
    In this video, you will learn how to use various APIs. FREE ACCESS
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    7.  Using ML REST APIs
    7m 2s
    During this video, you will learn how to work with the ML REST API using the Translation API. FREE ACCESS
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    8.  Cloud Vision API and Kubernetes Cluster
    9m 20s
    Find out how to use the Cloud Vision API with a Kubernetes cluster. FREE ACCESS
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    9.  Exercise: Implementing ML APIs with GCP
    11m 41s
    After completing this video, you will be able to describe the use of machine learning, including the common application programming interfaces. FREE ACCESS

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