Google Cloud Courses

Managing Deployments Using Kubernetes Engine

Learn to scale and manage containers in Kubernetes Engine, practicing DevOps techniques for multiple heterogeneous deployments in common application scenarios.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Ingesting FHIR Data with the Healthcare API

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn the basic functionalities of Cloud Healthcare API using the Fast Healthcare Interoperability (FHIR) data model.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Dataflow: Qwik Start - Templates

This is a self-paced lab that takes place in the Google Cloud console. This page shows you how to create a streaming pipeline using a Google-Provided Cloud Dataflow template.

• Coursera
• 30 minutes
• Self-Paced
• Paid Course

Classify Images of Clouds in the Cloud with AutoML Vision

Train a custom image recognition model to identify cloud types using AutoML Vision, no ML expertise required. Hands-on lab in Google Cloud console.

• Coursera
• 2 hours
• Self-Paced
• Paid Course

Using BigQuery and Cloud Logging to Analyze BigQuery Usage

This is a self-paced lab that takes place in the Google Cloud console. In this lab you view the BigQuery logs inside Cloud Logging, set up a sink to export them back into BigQuery, and then use SQL to analyze the logs.

• Coursera
• 45 minutes
• Self-Paced
• Paid Course

Dataflow: Qwik Start - Python

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will set up your Python development environment, get the Cloud Dataflow SDK for Python, and run an example pipeline using the Google Cloud Platform Console.

• Coursera
• 30 minutes
• Self-Paced
• Paid Course

Managing NetApp Cloud Volumes ONTAP for Google Cloud with Advanced Tools

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to leverage additional management tools available with Cloud Volumes ONTAP for Google Cloud.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Protecting APIs with Apigee X and Cloud Armor

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you use an Apigee X threat protection policy and Cloud Armor to protect your APIs.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Setting up Jenkins on Kubernetes Engine

This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab will show you how to set up Jenkins on Google Kubernetes Engine to help orchestrate your software delivery pipeline.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Cloud Spanner: Qwik Start

This is a self-paced lab that takes place in the Google Cloud console. This lab shows how to perform basic operations in Cloud Spanner using the Google Cloud Platform Console. Watch the short video Get a Highly Consistent, Scalable Database Service with…

• Coursera
• 30 minutes
• Self-Paced
• Paid Course

Protect and Recover Microsoft SQL Server with Actifio

This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you will learn how to backup an existing Microsoft SQL Database with Actifio

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Using OpenTSDB to Monitor Time-Series Data on Cloud Platform

This is a self-paced lab that takes place in the Google Cloud console. 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 Bigt…

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Deploying a Python Flask Web Application to App Engine Flexible

Learn to deploy a Flask-based facial recognition web app on App Engine Flexible, integrating Cloud Vision API for image analysis and user photo uploads.

• Coursera
• 45 minutes
• Self-Paced
• Paid Course

APIs Explorer: Create and Update a Cluster

This is a self-paced lab that takes place in the Google Cloud console. In this lab you’ll learn how to use an inline Google APIs Explorer template to call the Cloud Dataproc API to create a cluster, run a simple Spark job in the cluster, and update the…

• Coursera
• 1 hour
• Self-Paced
• Paid Course

App Dev: Storing Image and Video Files in Cloud Storage - Python

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you add images and video to an application. You store files as objects in a Cloud Storage bucket.

• Coursera
• 1 hour
• Self-Paced
• Paid Course