This course introduces you to the fundamentals and practices used to install and manage Google Cloud's Apigee API Platform for hybrid cloud. Through a combination of lectures, a hands-on lab, and supplemental materials, you will learn how to install and operate the Apigee API Platform.

Google Bigtable is a sophisticated NoSQL offering on the Google Cloud Platform with extremely low latencies. By the end of this course, you'll understand why Bigtable is much more powerful offering than HBase, with linear scaling of your data.

Dataproc is Google’s managed Hadoop offering on the cloud. This course teaches you how the separation of storage and compute allows you to utilize clusters more efficiently purely for processing data and not for storage.

BigQuery is the Google Cloud Platform’s data warehouse on the cloud. In this course, you’ll learn how you can work with BigQuery on huge datasets with little to no administrative overhead.

In this course, you’ll learn how to effectively deploy serverless functions using Google Cloud Functions with the aid of several triggers. Following this course, you will be very comfortable writing, deploying, and executing Google Cloud Functions.

Accessibility has been a part of development since the very beginning of the web. And although we have been talking about it since Tim Berners-Lee was working for CERN, to this day the struggles seem to remain the same.

This course introduces networking and VPCs on the Google Cloud Platform (GCP). This includes: auto and custom VPCs, the differences between VPCs on the GCP versus Amazon Web Services (AWS), designing subnets, and advanced features such as Shared VPC.

Cloud Storage is the Google Cloud Platform's elastic object storage service which competes with S3 on AWS and Blob Storage on Azure. It offers pay-as-you-use functionality for all kinds of data and offers easy integration with all other GCP services.

Join us as we drill into the data architectures in a selection of companies. Each company, regardless of industry or use case, has one thing in common: Successful IoT analytics programs in large scale enterprise production.

This course covers Cloud ML Engine, a powerful service that supports distributed training and evaluation for models built in TensorFlow, Scikit-learn and XGBoost.

App Engine is the PaaS offering on the GCP and is ideal for developers seeking to build and deploy web applications while staying focused on writing code. In this course, you will learn about the App Engine's Standard and Flexible Environments.

Firebase is Google’s comprehensive mobile and app development platform which has several features and services that integrate with, and complement, capabilities on the Google Cloud Platform.