Course: Google Associate Cloud Engineer

$329.00
$398.09 incl. vat

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duration: 33 hours |

Language: English (US) |

access duration: 180 days |

Details

Google Cloud Platform is a suite of cloud services that provides reliable and highly scalable cloud computing services that help its users store data, build, test, and deploy apps.

An Associate Cloud Engineer deploys applications, monitors operations of multiple projects, and maintains enterprise solutions to ensure that they meet target performance metrics. Associate Cloud Engineers have experience working with public clouds and on-premises solutions. They are able to use Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud.

In this course, you'll begin with exploring the Google Cloud Platform and the various Google Cloud services available matching them to business needs, such as Virtual Machines, Kubernetes and Cloud Functions.

Topics covered:

  • Using Google Cloud Shell.
  • Google Cloud Resource Manager and the resource hierarchy, as well as how to set up an organizational resource.
  • Managing access control using Identity and Access Management.
  • Implementing Google Compute Engine.
  • Managing VM instance by starting, stopping and configuring.
  • Creating VM with connected GPUs and installing CUDA libraries.
  • Deploying Google Kubernetes Engine (GKE) clusters, GKE security features, Deploying Docker container image on GKE.
  • Working with the Google Kubernetes Engine dashboard.
  • Deploying App Engine with gcloud, deploying a container image to Cloud Run, and deploying Cloud Functions from your local machine, GitHub, and Bitbucket.
  • And much more!

This training prepares you optimally for the Google Associate Cloud Engineer exam.

Result

After successfully completing this training you will be able to:

  • Set up a cloud solution environment
  • Plan and configure a cloud solution
  • Deploy and implement a cloud solution
  • Ensure successful operation of a cloud solution
  • Configure access and security

After following this training you will also be well prepared for the Google Associate Cloud Engineer exam.

Prerequisites

You are familiar with the basic principles of cloud computing. Furthermore, you have 6 months of hands-on experience with Google Cloud products and solutions.

Target audience

System Administrator, Software Developer

Content

Google Associate Cloud Engineer

33 hours

Google Associate Cloud Engineer: Google Cloud Platform Ecosystem

  • Google Cloud Platform is a suite of cloud services that provides

  • reliable and highly scalable cloud computing services that help its
  • users store data, build, test, and deploy apps. It provides
  • computing services for backend, mobile and web solutions using the
  • internet. You'll begin with exploring Google Cloud Platform and the
  • various Google Cloud services available matching them to business
  • needs, such as Virtual Machines, Kubernetes and Cloud Functions.
  • You’ll learn how to create a GCP account and navigate the console,
  • create a billing account, establish budgets and alerts, setup
  • billing exports, link accounts to Google Cloud projects and use the
  • GCP pricing calculator. This course is one of a collection of
  • courses that prepares learners for the Google Cloud Associate Cloud
  • Engineer certification.

Google Associate Cloud Engineer: Configuring Google Cloud

  • Google Cloud Platform reduces costs while increasing agility and

  • capturing new opportunities. In this course, you'll begin by
  • learning how to use using Google Cloud Shell. You'll explore how to
  • install and use Cloud tools, the gcloud CLI, Google Cloud SDK, and
  • other utilities that come pre-installed. Next, you’ll learn about
  • various Google Cloud database services such as Cloud SQL, which
  • provides a cloud-based alternative to local MySQL, PostgreSQL, and
  • SQL Server databases. You'll examine Cloud Spanner, a fully managed
  • relational database with unlimited scale. You'll move on to learn
  • about Cloud Bigtable, a NoSQL wide-column store for large scale,
  • low latency workloads. Finally, you’ll learn about BigQuery,
  • Dataproc, and Cloud Marketplace. This course is one of a collection
  • of courses that prepares learners for the Google Cloud Associate
  • Cloud Engineer certification.

Google Associate Cloud Engineer: Google Cloud Resource Manager

  • Google Cloud Resource Manager allows you to hierarchically

  • manage resources by project, folder, and organization. In this
  • course, you'll learn about Google Cloud Resource Manager and the
  • resource hierarchy, as well as how to set up an organization
  • resource to ensure projects will follow the organization’s life
  • cycle on Google Cloud. You'll then examine how to create and manage
  • a Google Cloud project and an organization. You’ll explore how to
  • create labels and tags, move and migrate projects, and enable APIs
  • within projects. Next, you’ll learn how to manage Google Cloud
  • folders by learning how to set roles and permissions, create
  • folders, configure access, and create a project in a folder.
  • Finally, you’ll learn to enable and view audit logs, and set up and
  • manage Cloud Identity. This course is one of a collection of
  • courses that prepares learners for the Google Cloud Associate Cloud
  • Engineer certification.

Google Associate Cloud Engineer: Google Cloud Load Balancing

  • Google Cloud Load Balancer is a fully distributed,

  • software-defined managed service that offers a single IP address to
  • serve as the front end, and automatic intelligent autoscaling of
  • the back end. This means you don’t need to manage physical load
  • balancing infrastructure. In this course, you’ll learn about Google
  • Cloud Load Balancer, how to identify the key components and choose
  • which one is best for your implementation, and how to manage access
  • control using Identity and Access Management. You’ll also explore
  • how to run and scale services behind internal and external IP
  • addresses, use a network load balancer to distribute traffic,
  • distribute SSL and TCP traffic, and distribute traffic to
  • applications running on back-end instances. This course is one of a
  • collection of courses that prepares learners for the Google Cloud
  • Associate Cloud Engineer certification.

Google Associate Cloud Engineer: Implementing Google Compute Engine

  • Google Cloud gives you compute and hosting options, and you can

  • work in a serverless environment, use a managed application
  • platform, leverage container technology, or build your own
  • cloud-based infrastructure for the most control and flexibility. In
  • this course, you’ll begin by learning about Virtual Machine
  • instances and the instance life cycle, as well as how to create
  • different instances such as preemptible and Windows Server
  • instances. Next, you’ll examine how to provision sole-tenant nodes,
  • generate SSH keys, connect to Linux and Windows VM instances using
  • Google Cloud Console, and use the gcloud command-line tool with SSH
  • keys. Finally, you’ll learn how to create a managed instance group
  • and an instance template. This course is one of a collection of
  • courses that prepares learners for the Google Cloud Associate Cloud
  • Engineer certification.

Google Associate Cloud Engineer: Managing Google Compute Engine

  • Google Cloud Engine is the Infrastructure as a Service component

  • of the Google Cloud Platform. It is built on the same
  • infrastructure that runs Google's search engine, Gmail, and even
  • YouTube. In this course, you’ll start by learning how to setting up
  • Virtual Machine Manager. You'll explore how to manage a VM instance
  • by going through its life cycle, including starting, stopping,
  • suspending, and resuming an instance. You’ll then learn how to
  • update an instance by using gcloud or API, as well as how to
  • connect to it by using Secure Shell and Remote Desktop Protocol.
  • You'll also examine how to create a VM with attached GPUs. Next,
  • you’ll learn to setup and use OS inventory management, create and
  • view snapshots and images, and use instance groups and templates.
  • Finally, you’ll explore how to query the metadata server to
  • retrieve information, and how to access and request quota
  • increases. This course is one of a collection of courses that
  • prepares learners for the Google Cloud Associate Cloud Engineer
  • certification.

Google Associate Cloud Engineer: Implementing Google Kubernetes Engine

  • Google Cloud is the birthplace of Kubernetes, an open-source

  • system used to deploy, scale, and manage containerized
  • applications. In this course, you’ll begin by learning about Google
  • Kubernetes Engine, the different modes of operations, and the types
  • of clusters that can be created. Next, you’ll examine how to create
  • different GKE clusters and explore Kubernetes pods and different
  • types of controller objects. You’ll examine GKE security features,
  • the different aspects of GKE networking, and the storage options
  • for applications running on GKE. Finally, you’ll learn to deploy a
  • GKE cluster and a Docker container image on a GKE cluster, create a
  • Google Cloud service account, and configure GKE monitoring and
  • logging. This course is one of a collection of courses that
  • prepares learners for the Google Cloud Associate Cloud Engineer
  • certification.

Google Associate Cloud Engineer: Managing Google Kubernetes Engine

  • Google Kubernetes Engine is a secured and fully-managed

  • Kubernetes service that features autopilot mode of operation, pod
  • and cluster autoscaling, and enterprise-ready containerized
  • solutions. Use this course to get familiar with using the Google
  • Kubernetes Engine dashboard. Start by learning how to manage
  • clusters and controlling access to them. Next, you'll examine the
  • use of the dashboard to perform other operations, such as creating
  • and using volumes with deployments, creating secrets to store
  • sensitive data, and using Config Connector for Kubernetes. You'll
  • also explore how to view the container image repository, manage
  • node pools, and implement pod deployments. You'll then discover the
  • creation of StatefulSets, DaemonSets, and a ConfigMap. Finally,
  • you’ll learn to use Persistent volumes and dynamic provisioning to
  • manage durable storage in your clusters. This course is one of a
  • collection of courses that prepares learners for the Google Cloud
  • Associate Cloud Engineer certification.

Google Associate Cloud Engineer: Implementing Google App Engine

  • Google App Engine is a Platform as a Service and a cloud

  • computing platform that provides web app developers and enterprises
  • with scalable hosting services. In this course, you’ll learn about
  • the different Google App Engine environments that are available, as
  • well as Google App Engine feature deprecations and how to install
  • SDKs. Next, you’ll explore how to setup a Cloud Run environment and
  • Cloud Functions. You'll then examine how to deploy App Engine using
  • gcloud, deploy a container image to Cloud Run, and deploy Cloud
  • Functions from your local machine, GitHub, and Bitbucket. Finally,
  • you’ll learn how to deploy an app that receives Google Cloud events
  • and setup Pub/Sub notifications for Cloud Storage. This course is
  • one of a collection of courses that prepares learners for the
  • Google Cloud Associate Cloud Engineer certification.

Google Associate Cloud Engineer: Managing Google App Engine

  • Google App Engine is a fully managed serverless environment that

  • manages infrastructure concerns by provisioning servers and scaling
  • your instances based on demand, allowing you to focus on code.
  • You’ll begin by learning how to use traffic splitting to distribute
  • traffic across multiple services, use Traffic Migration to route
  • requests, map custom domains to your apps, and secure your custom
  • domain with SSL. Next, you’ll learn how to manage your app
  • resources, update your scaling configurations, set parameters with
  • the API, and deploy versions of your app to App Engine. Finally,
  • you’ll learn how to create and view a Cloud Run service, and view a
  • list of revisions to a service. This course is one of a collection
  • of courses that prepares learners for the Google Cloud Associate
  • Cloud Engineer certification.

Google Associate Cloud Engineer: Implementing Google Cloud Storage

  • Google Cloud Storage is an infrastructure as a service (IaaS)

  • public cloud storage platform that can house large unstructured
  • data sets. Use this course to learn more about Google Cloud Storage
  • along with its features and functions. Start your journey by
  • exploring Object Lifecycle Management, different Cloud Storage
  • options, and the best practices associated with cloud storage.
  • You'll then examine storage buckets and how they are used. You'll
  • also learn to identify the naming guidelines, locations, and
  • requirements for domain-named buckets. Finally, you’ll discover how
  • to create a storage bucket using Google Cloud console and the
  • gsutil tool, change the storage class of objects as well as
  • buckets, and migrate a database to Cloud SQL. After you have
  • completed this course, you'll have the skills and knowledge to
  • implement Google Cloud storage and prepare for the Google Cloud
  • Associate Cloud Engineer certification.

Google Associate Cloud Engineer: Managing Google Cloud Storage

  • Google Cloud Storage is a service for storing and retrieving

  • your objects in Google Cloud. It can be used for serving web site
  • content, archival and disaster recovery, and distributing large
  • data objects. In this course, you'll begin by exploring how to list
  • Cloud Storage buckets in a project and how to move objects between
  • them. You’ll learn to label and convert buckets, setup lifecycle
  • management policies, and execute queries. Next, you’ll examine how
  • to use BigQuery to estimate storage and query costs, restore and
  • back up an instance using Cloud SQL Data Management, and use the
  • managed export and import service. Finally, you’ll learn how to use
  • Dataproc, the Dataflow monitoring interface, and BigQuery to review
  • the status of jobs. This course is one of a collection of courses
  • that prepares learners for the Google Cloud Associate Cloud
  • Engineer certification.

Google Associate Cloud Engineer: Google Virtual Private Cloud

  • Google Virtual Private Cloud provides virtualized network

  • functionality to Google Compute Engine virtual machine instances,
  • Google Kubernetes Engine clusters, and the Google App Engine
  • flexible environment. You’ll begin by learning about Virtual
  • Private Cloud and the creation of VPC networks and subnets. You'll
  • learn how to launch Google Compute Engine instances with custom
  • network configurations and configure Private Google Access. Next,
  • you’ll discover how to assign tags to VMs, create and manage
  • routes, create ingress and egress firewalls, and use Cloud VPN to
  • create a VPN between Google VPC and external networks. Finally,
  • you’ll learn how to create and launch Deployment Manager templates,
  • add subnets to existing VPCs, use gcloud to expand subnets, and
  • reserve new static IP addresses. This course is one of a collection
  • of courses that prepares learners for the Google Cloud Associate
  • Cloud Engineer certification.

Google Associate Cloud Engineer: Google Cloud Operations Suite

  • Google Cloud’s operations suite, formerly Stackdriver, is used
  • to monitor, log, diagnose, and improve application performance on
  • your Google Cloud environment. In this course, you’ll learn about
  • Cloud Monitoring, including how to install the Cloud Monitoring
  • agent on a VM, manage the agent on multiple VMs, and create custom
  • metrics. Next, you’ll explore how to create a resource group, use
  • the dashboard to manage alert policies, create a workspace to
  • organize, and manage the monitor information. You’ll learn about
  • Cloud Logging and logs-based metrics, as well as how to create
  • charts and alerts using the Google Cloud Console, view and filter
  • logs in Logs Explorer, and search logs with Legacy Logs Viewer.
  • Finally, you’ll examine how to create and manage log sinks, use the
  • Cloud Error Reporting console, use Cloud Trace and Cloud Debugger,
  • and view the Google Cloud status dashboard. This course is one of a
  • collection of courses that prepares learners for the Google Cloud
  • Associate Cloud Engineer certification.

Google Associate Cloud Engineer: Google Identity & Access Management (IAM)

  • Google Cloud Identity and Access Management (IAM) is an

  • indispensable tool for Cloud Engineers. It offers centralized
  • access control and visibility of all Google Cloud resources,
  • providing a unified view of security policies across the entire
  • organization. Use this course to explore how IAM works in general
  • and in Google Cloud. Learn how to manage IAM user roles, view IAM
  • role assignments, and identify grantable roles. Practice working
  • with custom roles, service accounts, and IAM audit logs. Lastly,
  • examine identity federation in IAM. Learn how to access resources
  • using workload identity and configure conditional access. By the
  • end of the course, you'll be able to manage all resource
  • authorization using Google Cloud IAM. This course is part of a
  • collection that prepares learners for the Google Cloud Associate
  • Cloud Engineer certification.

Course options

We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.

Optional practice exam (trial exam)

To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam. 

Optional practice lab

To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediatelyThe lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience. 

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