Google Cloud Courses

Examining BigQuery Billing Data in Google Sheets

Connect Google Sheets to BigQuery with the Sheets data connector to query billing data, run analytic functions, and keep a sheet refreshed with current data.

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

Machine Learning with Spark on Google Cloud Dataproc

Implement logistic regression with an Apache Spark machine learning library on a Google Cloud Dataproc cluster to build a model from a multivariable dataset.

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

Implementing Page Navigation in a Flutter Application

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will create a Flutter app with a TabView to isolate data. Add navigation to the application to move directly to a page.

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

BigQuery: Qwik Start - Console

Query public datasets and load sample data into BigQuery through the web UI in this hands-on Google Cloud console lab.

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

Using Role-based Access Control in Kubernetes Engine

This is a self-paced lab that takes place in the Google Cloud console. After provisioning two service accounts to represent user personas and three namespaces for dev, test, and prod, you will test the access controls of the personals in each namespace.

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

VPC Networking: Cloud HA-VPN

This is a self-paced lab that takes place in the Google Cloud console. Set up two VPCs and add a cloud HA-VPN gateway in each, then run two tunnels from each VPN gateway to demonstrate the HA-VPN gateway configuration for 99.99% SLA.

• Coursera
• 1 hour 15 minutes
• Self-Paced
• Paid Course

Block.one: Getting Started with The EOSIO Blockchain

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you create a virtual machine (VM) to host an EOSIO blockchain.

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

Running Windows Containers on Compute Engine

Create a Compute Engine virtual machine with Microsoft SQL Server installed, add a Windows user and password, and connect to the Windows Server via remote desktop.

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

Understanding and Analyzing Your Costs with Google Cloud Billing Reports

Analyze Google Cloud spending: view Billing reports from a live billing account, read current and forecasted costs, and apply report filters to spot cost drivers and trends.

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

Deploy Microsoft SQL Server to Compute Engine

Create a Compute Engine virtual machine with Microsoft SQL Server preinstalled, set up a Windows user and password, and connect to Windows Server via remote desktop.

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

Ingesting DICOM 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 functionality of Cloud Healthcare API using Digital Imaging and Commmuniations in Medicine (DICOM) data model.

• Coursera
• 1 hour 15 minutes
• Self-Paced
• Paid Course

Creating Cross-region Load Balancing

This is a self-paced lab that takes place in the Google Cloud console. This lab demonstrates how to create an HTTP(S) load balanced that forwards traffic to instances in two different regions.

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

Continuous Delivery with Jenkins in Kubernetes Engine

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will deploy and completely configure a continuous delivery pipeline using Jenkins running on Kubernetes Engine and go through the dev - deploy process.

• Coursera
• 1 hour 15 minutes
• Self-Paced
• Paid Course

Managing Deployments Using Kubernetes Engine

Practice scaling and managing containers in the Google Cloud console, using multiple heterogeneous Kubernetes Engine deployments to handle common application deployment 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