Google Cloud Skills Boost

Integrate with Machine Learning APIs

6 Stunden Intermediate universal_currency_alt 31 Guthabenpunkte
Es ist kein Geheimnis, dass maschinelles Lernen eines der am schnellsten wachsenden Technologiefelder ist, zu dessen Weiterentwicklung die Google Cloud Platform maßgeblich beigetragen hat. Dank zahlreicher APIs bietet die GCP ein Tool für nahezu jeden Job im Bereich maschinelles Lernen. In dieser Aufgabenreihe für Fortgeschrittene erwarten Sie praktische Übungen zu APIs für maschinelles Lernen. Absolvieren Sie dazu Labs wie "KI-Chatbot mit Dialogflow implementieren" und "Mit der Cloud Vision API Labels, Gesichter und Sehenswürdigkeiten in Bildern erkennen".
Skill-Logo für Integrate with Machine Learning APIs

Schließen Sie diese Aktivität ab und holen Sie sich ein Abzeichen! Treiben Sie Ihre Karriere in der Cloud voran, indem Sie allen zeigen, welche Kompetenzen Sie entwickelt haben.

  • Lab

    Introduction to APIs in Google

    This lab will teach you about the architecture and basic functioning of Application Programming Interfaces (APIs). This will be supplemented with hands-on practice, where you will configure and run Cloud Storage API methods in Cloud Shell.

  • Lab

    Extract, Analyze, and Translate Text from Images with the Cloud ML APIs

    In this lab you’ll combine the Cloud Vision, Natural Language, and Translation APIs to capture text strings from images, recognize characters, and analyze and translate the text strings into other languages.

  • Lab

    Classify Text into Categories with the Natural Language API

    In this lab you’ll learn how to classify text into categories using the Natural Language API

  • Lab

    Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API

    The Cloud Vision API lets you understand the content of an image by encapsulating powerful machine learning models in a simple REST API. In this lab you’ll send an image to the Cloud Vision API and have it identify objects, faces, and landmarks.

  • Lab

    Entity and Sentiment Analysis with the Natural Language API

    The Cloud Natural Language API lets you extract entities, and perform sentiment and syntactic analysis on a block of text. In this hands-on lab you’ll learn how to extract entities and sentiment from text using the Cloud Natural Language API.

  • Lab

    Awwvision: Cloud Vision API from a Kubernetes Cluster

    This hands-on lab uses Kubernetes and Cloud Vision API to create an example of how to use the Vision API to classify (label) images from Reddit’s /r/aww subreddit and display the labelled results in a web app.

  • Lab

    Integrate with Machine Learning APIs: Challenge Lab

    This challenge labs tests your skills in implementing a solution using the Google Machine Learning APIs

  • info
    Informationen zur Aufgabenreihe
    Voraussetzungen
    This Quest requires hands-on experience with Google Cloud’s machine learning services. Make sure that you have at least earned a Badge by completing the hands-on labs in the Baseline: Data, ML, and AI Quest before beginning—the labs in this series assume foundational ML knowledge and will explore advanced features through specific use cases.
    Verfügbare Sprachen
    English, español (Latinoamérica), Deutsch, 日本語, français und português (Brasil)