On-Demand-Aktivitäten

Finden Sie die für Sie richtigen On-Demand-Lernaktivitäten. Labs sind kurze Lernaktivitäten, in denen Ihnen über einen direkten, temporären, praxisorientierten Zugriff auf echte Cloud-Ressourcen spezifische Inhalte vermittelt werden. Kurse sind längere Aktivitäten, die aus mehreren Modulen mit Videos, Dokumenten, praxisorientierten Labs und Quizaufgaben bestehen. Aufgabenreihen sind ähnlich, aber in der Regel kürzer und enthalten nur Labs.

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111 Ergebnisse

  1. Lab Tipp

    Bracketology with Google Machine Learning

    In this lab, you use BigQuery to analyze the public NCAA dataset and BigQuery ML to predict NCAA tournament brackets.

  2. Lab Tipp

    Build and Deploy Machine Learning Solutions with Vertex AI: Challenge Lab

    In this challenge lab you will train, deploy, and create a model pipeline using Vertex AI.

  3. Kurs Tipp

    Introduction to AI and Machine Learning on Google Cloud

    This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generat…

  4. Kurs Tipp

    Integrate with Machine Learning APIs

    Earn a skill badge by completing the Integrate with Machine Learning APIs course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Cloud Translation API, and Cloud Natural Language API. A skill badge is an exclusive digital badge issued by Google …

  5. Lab Tipp

    Getting Started with BigQuery ML

    In this lab, you learn how to use BigQuery to create a machine learning model that predicts whether a visitor will make a transaction.

  6. Kurs Tipp

    Google Cloud Big Data and Machine Learning Fundamentals

    This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

  7. Kurs Tipp

    Smart Analytics, Machine Learning, and AI on Google Cloud

    Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course…

  8. Kurs Tipp

    Launching into Machine Learning

    The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a …

  9. Kurs Tipp

    Build and Deploy Machine Learning Solutions on Vertex AI

    Earn a skill badge by completing the Build and Deploy Machine Learning Solutions with Vertex AI course, where you will learn how to use Google Cloud's unified Vertex AI platform and its AutoML and custom training services to train, evaluate, tune, explain, and deploy machine learning solutions. This skill badge …

  10. Lab Tipp

    Integrate with Machine Learning APIs: Challenge Lab

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