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Google Cloud Solutions II: Data and Machine Learning

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Google Cloud Solutions II: Data and Machine Learning

5 hours Expert universal_currency_alt 29 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.

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

    TensorFlow for Poets

    In this lab you will learn how to install and run TensorFlow on a single machine, then train a simple classifier to classify images of flowers.

  • Lab

    Creating an Object Detection Application Using TensorFlow

    This lab will show you how to install and run an object detection application. The application uses TensorFlow and other public API libraries to detect multiple objects in an uploaded image.

  • 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
    Prerequisites
    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.