Training: Google Associate Cloud Engineer (Exam ACE)

€ 299,00

€ 361,79 Incl. BTW

Het volgende STAP tijdvak begint op 1 mei

Duur: 33 uur |

Taal: Engels (US) |

Online toegang: 180 dagen |

In Onbeperkt Leren

Gegevens

Google Cloud Platform is een suite van cloudservices die betrouwbare en zeer schaalbare cloudcomputingservices biedt waarmee gebruikers gegevens kunnen opslaan, apps kunnen bouwen, testen en implementeren.

Als Associate Cloud Engineer implementeer je applicaties, bewaak je de activiteiten van meerdere projecten en onderhoud je bedrijfsoplossingen om ervoor te zorgen dat ze voldoen aan de beoogde prestatiestatistieken. Associate Cloud Engineers hebben ervaring met het werken met openbare clouds en on-premises oplossingen. Ze kunnen de Google Cloud Console en de opdrachtregelinterface gebruiken om algemene platform gebaseerde taken uit te voeren om een of meer geïmplementeerde oplossingen te onderhouden die gebruikmaken van de door Google beheerde of zelfbeheerde services op Google Cloud. Dit leer je allemaal in deze uitgebreide Google Cloud training.

In deze training ga je aan de slag met het verkennen van het Google Cloud Platform en de verschillende beschikbare Google Cloud-services. Je leert de services af te stemmen op de zakelijke behoeften, zoals virtuele machines, Kubernetes en Cloud Functions.

Onderwerpen die aan bod komen:

Het gebruik van Google Cloud Shell.
Google Cloud Resource Manager en de resourcehiërarchie, evenals hoe je een organisatieresource instelt.
Toegangscontrole beheren met behulp van Identity and Access Management.
Google Compute Engine implementeren.
Virtuele machine instanties beheren door te starten, stoppen en configureren .
Het maken van virtuele machines met aangesloten GPU's en installeren van CUDA-bibliotheken.
Google Kubernetes Engine (GKE) clusters implementeren, GKE beveiligingsfuncties en Docker-containerimage implementeren op GKE.
Werken met het Google Kubernetes Engine-dashboard .
App Engine implementeren met gcloud, een containerimage implementeren in Cloud Run en Cloud Functions implementeren vanaf je lokale machine, GitHub en Bitbucket.
En nog veel meer!

Deze training bereidt jou optimaal voor op het Google Associate Cloud Engineer examen.

Resultaat

Na het succesvol afronden van deze training kun jij:

Een cloudoplossingsomgeving opzetten.
Een cloudoplossing plannen en configureren.
Een cloudoplossing implementeren.
Zorgen voor een succesvolle werking van een cloudoplossing.
Toegang en beveiliging configureren.

Tevens ben je na het volgen van deze training goed voorbereid op het Google Associate Cloud Engineer examen.

Voorkennis

Je bent bekend met de basisprincipes van cloud computing. Daarnaast heb je minstends 6 maanden praktische ervaring met Google Cloud-producten en -oplossingen.

Doelgroep

Systeembeheerder, Softwareontwikkelaar

Inhoud

Google Associate Cloud Engineer (Exam ACE)

33 uur

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.

Opties bij cursus

Wij bieden, naast de training, in sommige gevallen ook diverse extra leermiddelen aan. Wanneer u zich gaat voorbereiden op een officieel examen dan raden wij aan om ook de extra leermiddelen te gebruiken die beschikbaar zijn bij deze training. Het kan voorkomen dat bij sommige cursussen alleen een examentraining en/of LiveLab beschikbaar is.

Examentraining (proefexamens)

In aanvulling op deze training kunt u een speciale examentraining aanschaffen. De examentraining bevat verschillende proefexamens die het echte examen dicht benaderen. Zowel qua vorm als qua inhoud. Dit is de ultieme manier om te testen of u klaar bent voor het examen.

LiveLab

Als extra mogelijkheid bij deze training kunt u een LiveLab toevoegen. U voert de opdrachten uit op de echte hardware en/of software die van toepassing zijn op uw Lab. De LiveLabs worden volledig door ons gehost in de cloud. U heeft zelf dus alleen een browser nodig om gebruik te maken van de LiveLabs. In de LiveLab omgeving vindt u de opdrachten waarmee u direct kunt starten. De labomgevingen bestaan uit complete netwerken met bijvoorbeeld clients, servers, routers etc. Dit is de ultieme manier om uitgebreide praktijkervaring op te doen.

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