This hands-on essentials course introduces you to the concepts and terminology for working with Google Cloud Platform (GCP). You learn GCP fundamentals, learn about product and services how to manage these services using the three different methods that GCP provides. 

In this course you will start with knowing how to find information on the GCP and the services it has to offer and, then go on to learn about GCP core infrastructure - regions, zones and projects. In the lab lessons, you will learn how to create a trial account, use GCP console, mobile app and the command-line tools to manage the four most commonly used services. 

You will deploy a website, upload files to cloud storage, set permissions to allow anonymous users to access your files in cloud storage, create and query a database in cloud SQL. You will also import data into BigQuery service and run a query to analyze the dataset.

At the end of this course, you will know about the Google Cloud Platform services and products- such as compute services, database services, IAM and security services, networking services, Big data services and Machine learning services.  You will be able to to work with Compute, Cloud SQL, Cloud Storage and BigQuery services. You will be able to use command-line tools to deploy and delete multiple VM instances in the compute engine environment, import data into Cloud Storage using gsutil tool and use bq command-line tool to import data and run query for data analysis.

In the final lab lesson, you learn to work with compute, storage and databases and you also learn about the end state architecture that you use to build the solutions. In this step-by-step tutorial lab you not only learn to execute the commands but also understand what happens behind the seen when you run the command.