Google Cloud Skills Boost

Google Cloud Solutions II: Data and Machine Learning

4 hours Advanced universal_currency_alt 11 Credits
In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.
Badge for Google Cloud Solutions II: Data and Machine Learning

Complete this activity and earn a badge! Boost your cloud career by showing the world the skills you’ve developed.

  • Lab

    Exploring NCAA Data with BigQuery

    Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores from 1996. Watch How the NCAA is using Google Cloud to tap into decades of sports data.

  • Lab

    Classify Images of Cats and Dogs using Transfer Learning

    In this lab, you will learn how to classify images of cats and dogs by using transfer learning from a pre-trained network.

  • Lab

    Using OpenTSDB to Monitor Time-Series Data on Cloud Platform

    In this lab you will learn how to collect, record, and monitor time-series data on Google Cloud Platform (GCP) using OpenTSDB running on Google Kubernetes Engine and Google Cloud Bigtable.

  • Lab

    Scanning User-generated Content Using the Cloud Video Intelligence and Cloud Vision APIs

    This lab will show you how to deploy a set of Cloud Functions in order to process images and videos with the Cloud Vision API and Cloud Video Intelligence API.

  • info
    Quest Info
    This Quest expects solid hands-on proficiency with Google Cloud workflows and processes, especially those involving multiple services working together. It is recommended that the student have at least earned a Badge by completing the hands-on labs in the Quest. Additional experience with the labs in the Machine Learning APIs Quest will also be useful.
    Available languages
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