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Quest

Baseline: Infrastructure

If you are a novice cloud developer looking for hands-on practice with GCP’s core infrastructure services, do yourself a favor and enroll in this quest. As a student, you will get practical experience by taking labs that dive into Cloud Storage, computing engines like Kubernetes, and key application services like Stackdriver and Deployment Manager. By taking this quest, you will develop invaluable skills that apply to any GCP project.

Quest

Managing Cloud Infrastructure with Terraform

In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.

Quest

Google Cloud Solutions I: Scaling Your Infrastructure

In this advanced-level quest, you will learn how you to harness serious GCP power and infrastructure. The hands-on labs will give you use cases, and you will be tasked with implementing scaling practices utilized by Google’s very own Solutions Architecture team. From developing enterprise grade load balancing and autoscaling, to building continuous delivery pipelines, Google Cloud Solutions I: Scaling your Infrastructure will teach you best practices for taking your GCP projects to the next level.

Quest

Serverless Web Apps using Amazon DynamoDB

Serverless architectures allow you to build and run applications and services without needing to provision, manage, and scale infrastructure. This quest will show how to design, build, and deploy interactive serverless web applications, using a simple HTML/JavaScript web interface which uses Amazon API Gateway calls to send requests to AWS Lambda backends that query Amazon DynamoDB data.

Quest

Websites and Web Applications

When it comes to hosting websites and web applications, you want a framework that’s robust, fast, and secure. By choosing the Google Cloud Platform, you will have all of those needs covered. In this fundamental-level quest, you will get hands-on practice with GCPs key infrastructure and computing services for the web. From deploying your first web app, to integrating Cloud SQL with Ruby on Rails, to mapping the NYC subway system on App Engine, you will learn all the skills needed to harness GCPs web hosting power.

Course

Google Cloud Platform Fundamentals: Core Infrastructure

This class provides an overview of Google Cloud Platform products and services. Participants learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies.

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Course

Architecting with Google Cloud Platform: Infrastructure

This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

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Hands-On Lab

Terraform Fundamentals

In this hands-on-lab you will create infrastructure, a virtual machine, using Terraform in the cloud environment.

Hands-On Lab

Compute Engine: Qwik Start - Windows

Google Compute Engine lets you create and run virtual machines on Google infrastructure. In this lab you create a Windows Server instance in the Google Compute Engine and access it with RDP. Watch a short preview, Launch a Windows Server Instance, GCP Essentials.

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Hands-On Lab

Configuring and Deploying Windows SQL Server on GCP

In this lab you will configure a highly available SQL Server configuration. NOTE: This lab sets up a lab infrastructure when launched, which takes approximately 20 minutes to fully provision and configure. You will have two hours total to complete.

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