This learning path is designed to help you and your team prepare for the Google Associate Cloud Engineer exam. Even if you aren’t planning to take the exam, the courses in this learning path will provide you with a solid understanding of how to set up a cloud solution environment, how to plan, configure, and deploy a cloud solution, and how to ensure successful operation of a cloud solution built with GCP resources and services.
Candidates who pass the Associate Cloud Engineer exam will earn the Associate Cloud Engineer certification from Google.
The Associate Cloud Engineer exam tests your knowledge of several subject areas, including:
- Setting up a cloud solution environment
- Planning and configuring a cloud solution
- Deploying and implementing a cloud solution
- Ensuring successful operation of a cloud solution
- Configuring access and security
We’ll cover each of the exam sections within this learning path. Early in the learning path, we'll cover the setup of cloud projects and accounts, along with billing configuration management. We'll also tackle the installation and configuration of the command line interface.
Next, we'll dive into the Pricing Calculator and how to plan and estimate GCP product pricing. After covering the calculator, we'll get into planning and configuring GCP compute resources, data storage options, and network resources.
As you progress through this learning path, you'll learn how to deploy and implement Compute Engine resources, Google Kubernetes Engine resources, App Engine, Cloud Run, and Cloud Functions resources. You'll also learn how to deploy and implement data solutions as well as network resources. After you've learned all that, you'll learn how to deploy solutions using Cloud Marketplace and how to deploy application infrastructure using Cloud Deployment Manager.
Later on in this learning path, you'll learn how to manage GCP resources, including compute resources, Kubernetes Engine resources, App Engine resources, and Cloud Run resources. You'll also learn how to manage storage and database solutions and networking resources. We'll also get into monitoring and logging.
Rounding out this learning path, we'll cover identity and access management, service account management, and auditing for project and managed services.
- Set up a cloud solution environment using Google Cloud Platform
- Plan, setup, and configure a cloud solution using Google Cloud Platform
- Configure access and security using Google Cloud Platform
- People who want to become Google Associate Cloud Engineers
- People preparing for the Google Associate Cloud Engineer exam
- Basic understanding of Google Cloud Platform products and services
- Basic understanding of cloud concepts such as virtual machines, containers, and networking
Learning Path Steps
This introduction to the Google Associate Cloud Engineer learning path provides an overview of the requirements for the Associate Cloud Engineer exam and how they will be covered.
In this course, you'll learn about GCP services such as compute, storage, and networking, and how to create virtual machines and web apps using the Google Cloud Console and gcloud CLI.
This course shows you how to create and set up new GCP projects and give users permission to access project resources. You learn how to enable APIs for a project and create budgets and configure monitoring for resources and services.
This course walks you through the services available when planning and configuring a GCP solution.
This Lab introduces you to all of the key concepts and trade-offs that you need to understand to work effectively with Google Cloud Storage.
Deploying Networking and Compute Resources on Google Cloud Platform
This course teaches you how to deploy network and compute resources on GCP, preparing you for the Associate Cloud Engineer exam.
In this lab, you will create a new Compute Engine VM and then connect to it by using the browser-based SSH connection.
Create a Network Infrastructure with Google Virtual Private Cloud
In this Lab, you'll create a basic network infrastructure composed of a VPC, two Subnets in different regions, and two firewall rules that will filter the ingress traffic.
Scaling an Application Through a Google Cloud Managed Instance Group
In this lab, you will create an instance template, a managed instance group and you will load balance it by using an HTTP load balancer.
In this course, you'll learn how to deploy and implement Google Cloud Platform solutions, helping you to prepare for the Associate Cloud Engineer exam.
Define and Deploy Resources with Google Cloud Deployment Manager
In this lab, you will use the GCP Cloud Deployment Manager service to create a template and then use it in the configuration you will deploy. You will also use Jinja for defining a template and YAML for the configuration.
This Lab teaches you how to use Cloud Functions, introducing you to all of the key concepts and trade-offs that you need to understand to work effectively with Cloud Functions.
In this lab, you will build a Docker image using Cloud Build and then you will deploy the application using Cloud Run, monitoring it and getting audit logs.
This course teaches you how to manage networking and compute resources on GCP, preparing you for the Associate Cloud Engineer exam.
This course explores GCP’s compute services, specifically App Engine and Kubernetes Engine.
Deploying Containerized Applications on Google Kubernetes Engine (GKE)
Learn how to deploy containerized applications in Google Kubernetes Engine (GKE) clusters from the Cloud Console, Cloud Shell, and Marketplace in this Lab.
To help you get the most out of the security tools offered in Google Cloud Platform, this course covers how to properly manage IAM, service accounts, and audit logs.
Learn how to load data into BigQuery, run queries using standard SQL, and export data from BigQuery with this hands-on course.
This Lab will show you the basic concepts of BigQuery and will allow you to handle data and query them in a real GCP environment.
This course will give you hands-on demonstrations of how to use the Monitoring, Logging, Error Reporting, Debugger, and Trace components of the Cloud Operations suite.
In this lab, you will understand the best practices to monitor a compute engine instance by viewing the usage, creating alert policies and creating a chart.
This short video provides you with some other resources that you should review prior to taking the Google Associate Cloud Engineer exam.
Demonstrate your Infrastructure skills for highly available and scalable applications by performing tasks required to set up a Compute Engine infrastructure in this lab challenge.
In this lab challenge, you'll be given a desired end state and be required to reach it using your knowledge of Google Cloud and networking.
Cert Prep: Google Associate Cloud Engineer
Tom is a 25+ year veteran of the IT industry, having worked in environments as large as 40k seats and as small as 50 seats. Throughout the course of a long an interesting career, he has built an in-depth skillset that spans numerous IT disciplines. Tom has designed and architected small, large, and global IT solutions.
In addition to the Cloud Platform and Infrastructure MCSE certification, Tom also carries several other Microsoft certifications. His ability to see things from a strategic perspective allows Tom to architect solutions that closely align with business needs.
In his spare time, Tom enjoys camping, fishing, and playing poker.