Google Cloud Courses

Monitoring and Logging for Cloud Functions

Use Cloud Monitoring in the Google Cloud console to inspect metrics, logs, and dashboards for Cloud Functions in a hands-on lab.

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

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

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

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

Securing APIs with Apigee X

Secure an API proxy in Apigee X: require OAuth tokens for access, throttle calls per app with SpikeArrest, and mask sensitive data in debug traces.

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

Configuring Networks via gcloud

This is a self-paced lab that takes place in the Google Cloud console. In this lab you use the gcloud command line to create VPC networks, subnets, and VM instances, then test connectivity.

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

Weather Data in BigQuery

In this lab you analyze historical weather observations using BigQuery and use weather data in conjunction with other datasets. This lab is part of a series of labs on processing scientific data.

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

Creating a Gmail Add-on

This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab you create a Gmail Add-on that allows you to quickly change the labels of an email thread.

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

API Gateway: Qwik Start

Deploy an API on Google Cloud API Gateway to secure traffic to a backend service through a consistent REST interface in the Cloud console.

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

TFX on Google Cloud Vertex Pipelines

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will develop, deploy, and run a TFX pipeline on Google Cloud Vertex Pipelines.

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

Visualizing Billing Data with Google Data Studio

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will harness the power of Data Studio, where you will learn how to build billing graphs and charts so you can slice and dice your GCP bill the way you want.

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

Analyzing Billing Data with BigQuery

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will create datasets and tables, import data from billing reports, and conduct a variety of queries on the data using BigQuery.

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

Deploying a Fault-Tolerant Microsoft Active Directory Environment

This is a self-paced lab that takes place in the Google Cloud console. In this Qwiklab, you set up a redundant pair of Windows Domain Controllers (DC) with AD using a new Virtual Private Cloud (VPC) network and multiple subnets on Google Cloud Platform (…

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

Managing SMB Workloads and Optimizing Storage Usage with NetApp Cloud Manager & Cloud Volumes ONTAP

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to leverage NetApp Cloud Volumes ONTAP for SMB workloads.

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

Ingesting HL7v2 Data with the Healthcare API

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will discover and use the basic functionality of Cloud Healthcare API using HL7v2 messages.

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

De-identifying DICOM Data with the Healthcare API

This is a self-paced lab that takes place in the Google Cloud console. Use the de-identification functionality of Cloud Healthcare API with the Digital Imaging and Communications in Medicine (DICOM) data model.

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

Cloud Filestore: Qwik Start

Set up managed Network Attached Storage with Cloud Filestore in the Google Cloud console, creating a shared filesystem for Compute Engine and Kubernetes Engine instances.

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