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.
In this basics lesson you will learn about Google's Global Infrastructure. You will also learn about Regions, Zones and Projects that make up the GCP environment.
In this lesson you learn about the five Compute resources that GCP offers.
In this lesson you learn about the Google networking service offerings.
In this lesson you learn about the various storage and database offerings of GCP.
Google Cloud Platform has added Cloud spanner to their service offerings. This lessons describes the Cloud Spanner service and how it compares with other database offerings.
In this lesson you learn about the Big Data and Machine learning services that GCP offers.
In this lesson you learn about Identity and Access management and the several management tools that GCP offers.
In this last basics lesson, you will learn about the developer tools that you can use to develop and manage the GCP environment.
In this lesson you learn how to use the GCP Mobile App to manage your GCP environment. Mobile App is available for both Apple and Android devices. I have used the Iphone app for this lesson.
In this lab lesson, you learn how to launch Cloud Shell tool and use it to manage the GCP environment.
In this lab lesson you learn to use the gcloud command-line tool to manage the compute environment. You start and stop a VM instance and learn to add components that allow you to use the gcloud tool to manage other GCP resources.
In this lab lesson you learn to use the gsutil tool to manage cloud storage. You create a bucket, copy files, change permissions on the files and delete the bucket and data using the gsutil command-line tool.
In this lab lesson, you learn to use the BQ tool to manage the Big Query services. You learn to upload and query data and run commands in non-interactive and interactive mode.
In this lab lesson you learn to install and configure the Cloud SDK on a local computer. Cloud SDK tools can be used to remotely manage you cloud environments.
I am Enterprise Cloud Architect with focus on IT transformation and transition of infrastructure and applications to hybrid cloud environments.
I am a Cloud adoption Strategy Advisor with 30+ Industry standard technical and business certifications, including AWS, VMWare, Microsoft, ITIL, ISACA and PMP.
I provide architectural consulting, direction and assistance in application and infrastructure transformation to cloud. I work with organizations to assess current platforms, architectures and technologies. I help to build transition roadmaps and develop solutions for multi-cloud hybrid environments (AWS, Google Cloud Platform, Azure and CloudStack). I also help develop conceptual architecture based on best practices that meet business need.