Course: Google Professional Cloud Developer (Exam PCD)

$369.00

$446.49 incl. vat

duration: 38 hours |

Language: English (US) |

access duration: 180 days |

Details

This course teaches you all the knowledge and skills you need to build cloud-native apps. Also, after attending this course, you will be well prepared for the Google Professional Cloud Developer exam.

In this course you will:

Discover the features of Infrastructure as a Service (IaaS), Containers as a Service (CaaS) and Platform as a Service (PaaS).
Learn how to set session lengths for Google Cloud services and how to deploy and secure Application Programming Interface (API) services.
Get to grips with Google Cloud command security, security mechanisms, container scanning and workload identity federation.
Get familiar with various Google Cloud management tools, such as: Firestore, Cloud Spanner, Cloud Bigtable, Cloud SQL and Cloud Storage.
Get started with Google Cloud's application modernization solutions, including the Google Cloud Application Modernization Program (CAMP).
Learn how to build an application in Google App Engine, how to create a project using resource manager API, how to download and install gcloud CLI, and how to use Google Cloud Console and Cloud Shell.
Get an introduction to Cloud Debugger to inspect applications and get acquainted with Cloud Profiler to identify parts of applications that consume the most resources.
Get educated in Google Cloud Testing and HTTP and in testing event-driven Cloud Functions.
Practice using Container Registry, setting up Jenkins on Google Kubernetes Engine (GKE) and improving CI/CD.
Examine strategies for deploying and testing applications, get an introduction to Google Cloud Deployment Manager, and learn how to use Cloud Build to deploy Cloud Run automatically.

Result

At the end of this training you will be optimally prepared for the Google Professional Cloud Developer exam.

Prerequisites

3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud is recommended.

Target audience

System Administrator, Network Administrator, Software Developer

Content

Google Professional Cloud Developer (Exam PCD)

38 hours

Google Professional Cloud Developer: Cloud Applications & APIs

Businesses and IT leaders across the globe are replacing their
legacy, on-premises technology by moving to the cloud. Google Cloud
Platform protects your data, applications, infrastructure and so
much more. Explore the benefits of moving to the Google Cloud
Platform. Examine the microservices architecture and develop
microservice apps. Discover the scaling velocity characteristics of
Infrastructure as a Service (IaaS), Containers as a Service (CaaS),
and Platform as a Service (PaaS). Then, use Cloud Storage, Cloud
Bigtable, Cloud Spanner, and Cloud SQL to define a key structure
for high-write applications. Learn how to set session lengths for
Google Cloud services and how to deploy and secure application
programming interface (API) services. Finally, identify and
implement Google Cloud best practices. This course is one of a
collection that prepares learners for the Google Professional Cloud
Developer exam.

Google Professional Cloud Developer: Infrastructure Design

Organizations continue to take advantage of Google Cloud
Platform's powerful network to deliver enterprise-class
applications. Google uses a secure by design infrastructure,
built-in protection, and a global network that helps organizations
protect their information. In this course, learn about Google Cloud
security, security mechanisms, container scanning, and workload
identity federation. Discover how to implement Binary Authorization
using Cloud Build and GKE, manage notifications with Secret
Manager, and use JSON web tokens and OAuth 2.0 to authenticate
services. Finally, practice authenticating using asynchronous or
synchronous means between services, control communication between
services, and use certificate-based authentication to protect
resources. This course is one of a collection that prepares
learners for the Google Professional Cloud Developer exam.

Google Professional Cloud Developer: Managing Google Cloud Application Data

Google Cloud management tools are tailored to provide
organizations with visibility, accountability, and control over
their business, reducing costs and complexity while increasing
productivity and predictability. In this course, learn about the
various Google Cloud management tools, such as Firestore, Cloud
Spanner, Cloud Bigtable, Cloud SQL, and Cloud Storage. Explore data
retention and the database options available for structured and
unstructured data. Discover NetApp Cloud Volumes Services and
identify Cloud Storage best practices. This course is one of a
collection that prepares learners for the Google Professional Cloud
Developer exam.

Google Professional Cloud Developer: Google Cloud Application Modernization

Many organizations seek to determine what their return on
investment will be if they upgrade their environments, but
quantifying the future impact of modernization initiatives can be
challenging. Google Cloud's application modernization solutions can
help you be more innovative while reducing your costs. In this
course, learn about Google Cloud's application modernization
solutions, including the Google Cloud Application Modernization
Program (CAMP), in addition to hybrid and multicloud applications,
API management, mainframe modernization, and more. Next, explore
the benefits of using Google's managed service providers,
refactoring applications from monolith to microservices, and
designing scalable and resilient applications. Finally, learn how
to deploy stateful applications. This course is one of a collection
that prepares learners for the Google Professional Cloud Developer
exam.

Google Professional Cloud Developer: Google Cloud Development Environment

Google App Engine requires zero configuration and no server
management. It also offers flexibility that allows developers to
focus on other applications and processes and write code. In this
course, you'll learn how to build an application on Google App
Engine, create a project using resource manager API, download and
install gcloud CLI, and use Google Cloud Console and Cloud Shell.
You'll explore Google developer tools, use Cloud Code to debug
applications and Skaffold to automate workflows, set up your
development environment on Go, and finally use the local
development server. This course is one of a collection that
prepares learners for the Google Professional Cloud Developer
exam.

Google Professional Cloud Developer: Google Cloud Software Development

Using Google Cloud Platform maximizes developers' productivity
by offering various tools to assist in software development. Google
Cloud Code offers features such as remote debugging, reduced
context switching, YAML authoring support, and much more. Learn
about Google Cloud Code, deploying Kubernetes apps, and using Cloud
Run services. Discover how to use built-in algorithms and identify
design patterns. Learn to use Cloud Debugger to inspect
applications and Cloud Profiler to identify parts of applications
consuming the most resources. Finally, learn about Google DevOps
and software development methodologies. This course is one of a
collection that prepares learners for the Google Professional Cloud
Developer exam.

Google Professional Cloud Developer: Google Cloud Application Testing

Organizations are benefiting from using Google Cloud Testing as
it is cost-effective, reduces resource requirements, allows for
availability and scalability, and enables a quicker testing
process. In this course, learn about Google Cloud Testing and test
HTTP and event-driven Cloud Functions. Discover how to configure a
CI/CD platform and perform unit, integration, performance, and load
testing. This course is one of a collection that prepares learners
for the Google Professional Cloud Developer exam.

Google Professional Cloud Developer: Building Google Cloud Applications

Organizations continuously look for ways to maximize their cloud
footprint, and containerization has become a focal point in this
evolution. Google Cloud Build is a managed service that enables
developers to build, test, and deploy containers quickly across all
languages. In this course, learn about Google Cloud Build and how
to use it to automate builds. Next, discover how to use
community-contributed and custom builders, create a code
repository, store build artifacts, and automate App Engine
deployments. Finally, practice using Container Registry to store
container images, set up Jenkins on Google Kubernetes Engine (GKE),
and improve CI/CD. This course is one of a collection that prepares
learners for the Google Professional Cloud Developer exam.

Google Professional Cloud Developer: Google Cloud Deployment Strategies

Deployment strategies are used to implement changes or upgrades
in your applications without interruption or downtime for the user.
Google Cloud deployment strategies allow for zero downtime, instant
rollbacks, and environment separation. In this course, explore
strategies for application deployment and testing, an introduction
to Google Cloud Deployment Manager, and how to use Cloud Build to
automatically deploy Cloud Run. Next, practice using Spinnaker to
integrate existing workflows, Tekton to create CI/CD, and Anthos
Config Management for configuration and policy management. Finally,
learn how to implement various deployments, such as blue/green,
traffic-splitting, rolling, and canary. This course is one of a
collection that prepares learners for the Google Professional Cloud
Developer exam.

Google Professional Cloud Developer: Deploying Google Cloud Applications

Google Compute Engine (GCE) offers various advantages for
deploying your applications, such as throughput, stability,
pricing, backup, and security. Containers on Compute Engine
instances allow you to conveniently run your apps on host virtual
machines (VMs) with fewer dependencies. In this course, learn about
the different types of containers that can be run on Compute Engine
instances. Next, discover how to install applications and manage
service accounts for VMs, bootstrap applications on Compute Engine,
and configure and manage sinks. Finally, practice exporting
metrics, using operating system images to create boot disks for
instances, and configuring a Binary Authorization policy with
Google Kubernetes Engine (GKE). This course is one of a collection
that prepares learners for the Google Professional Cloud Developer
exam.

Google Professional Cloud Developer: Deploying Google Applications to GKE

Google Kubernetes Engine is one of the leading hosted container
orchestration solutions. It provides a hosted environment for
running containerized applications and managing workloads to your
specifications, while integrating with other Google Cloud services
for secure, highly available, and scalable deployments. In this
course you'll explore Google Kubernetes Engine (GKE), deploy a
containerized application to GKE, and control access to cluster
resources using role-based access control (RBAC) and identity and
access management (IAM). Next, you will practice configuring
Kubernetes namespaces, identify workload profiles and
specifications, and build container images using Cloud Build. You
will configure Kubernetes network policy and Kubernetes services
and explore how to manipulate the GKE Pod life cycle. Finally,
you'll explore how Kubernetes resources and configurations are
defined. This course is one of a collection that prepares learners
for the Google Professional Cloud Developer exam.

Google Professional Cloud Developer: Deploying Google Cloud Functions

Google Cloud Functions is a serverless, event-driven computing
service that lets you treat all cloud services as building blocks.
Developers can use it to create and implement functions without
needing to provision other infrastructures like servers, storage,
and other resources. In this course, learn about Google Cloud
Functions and its triggers and events, including Pub/Sub and Cloud
Storage triggers. Next, discover how to write and deploy Cloud
Functions, the types of triggers for calling Cloud Functions, and
use HTTP functions. Finally, practice creating an event that
triggers CloudEvent and secure Cloud Functions using identity and
network-based approaches. This course is one of a collection that
prepares learners for the Google Professional Cloud Developer
exam.

Google Professional Cloud Developer: Google Cloud Service Accounts

Google Cloud service accounts are special account types used to
represent non-human functions that authenticate/authorize to gain
access to data in Google APIs. Examples of service accounts include
running workloads on virtual machines, workstations, or data
centers. In this course, learn about the different types of service
accounts, create and manage service accounts using the IAM API, and
work with the different types of service account keys. Next,
discover how to create short-lived service account credentials and
manage impersonation and the Service Account Credentials API.
Finally, explore how to monitor and view usage patterns and learn
about the principle of least privilege. This course is one of a
collection that prepares learners for the Google Professional Cloud
Developer exam.

Google Professional Cloud Developer: Google Cloud Data and Storage Services

Google Cloud Storage is a platform that houses unstructured data
sets, typically used for primary or infrequently accessed data.
Data and storage services provide flexibility and reliability in a
secure location which enables customers to transition to lower-cost
classes easily, allows for multiple redundancy options, provides
usable archival storage, and provides storage classes for any
workloads. In this course, you will learn about application
integration and identify import and export best practices. You will
learn how to import and export using SQL and CSV and check the
status of import and export operations. Finally, you will learn to
connect to Cloud SQL, Cloud Spanner, Firestore, and Cloud Bigtable
data stores. This course is one of a collection that prepares
learners for the Google Professional Cloud Developer exam.

Google Professional Cloud Developer: Google Cloud Compute Services

Google Cloud compute services allow you to create and run
customizable virtual machines. It automatically deploys, scales,
and manages your containers with Google Kubernetes Engine (GKE) or
Cloud Run. You can migrate your apps at your own pace with the
ability to move directly to virtual machines or automatically to
containers. In this course, learn about service discovery and how
to implement it in GKE and Compute Engine. Next, discover how to
access instance metadata. Finally, explore how to authenticate
users using Identity-Aware Proxy and OAuth 2.0 web flow and cloud
APIs with workload identity. This course is one of a collection
that prepares learners for the Google Professional Cloud Developer
exam.

Google Professional Cloud Developer: Integrating Google Cloud APIs

Google Cloud Platform (GCP) services include programmatic
interfaces called Google Cloud APIs. Google Cloud APIs allow you to
easily connect computing, networking, storage, and machine learning
data to your applications. In this course, learn about Google APIs,
enable APIs in your Google Cloud projects, and practice making API
calls using REST APIs, a Cloud Client Library, gRPC, and the Google
APIs Explorer. Next, discover how to send batched requests into a
single HTTP request, restrict returned data, and paginate results.
Finally, explore error handling for Google APIs, work with cached
query results, and use service accounts to make API calls. This
course is one of a collection that prepares learners for the Google
Professional Cloud Developer exam.

Google Professional Cloud Developer: Managing Google Compute Engine VMs

Google Cloud Compute Engine allows you to create and run virtual
machines (VMs). Compute Engine instances can be used to run the
public images for both Linux and Windows Server. In this course,
learn about managing Google Compute Engine VMs. Next, discover how
to debug custom VMs, debug using a serial console, and debug a
failed VM startup. Finally, explore how to install the Cloud
Logging agent on individual VMs, work with the Logs Explorer to
analyze logs, and view a resource utilization report. This course
is one of a collection that prepares learners for the Google
Professional Cloud Developer exam.

Google Professional Cloud Developer: Managing Google Kubernetes Engine

Google Kubernetes Engine (GKE) provides a managed environment
for deploying, managing, and scaling containerized applications.
GKE consists of multiple machines grouped to form a cluster. In
this course, you'll explore the use of GKE workloads, and configure
Cloud Logging and Cloud Monitoring. You'll access the monitoring
dashboard to view container life cycle events, troubleshoot issues
with deployed workloads, and view GKE logs. You will explore how to
manage GKE metrics, use custom metrics to capture
application-specific data, and identify external metrics. Finally,
you will see how to use Pub/Sub to receive notifications from your
GKE clusters and autoscale your GKE clusters. This course is one of
a collection that prepares learners for the Google Professional
Cloud Developer exam.

Google Professional Cloud Developer: Troubleshooting Google Applications

The Google Performance Dashboard gives you visibility into all
of the Google Cloud network. It shows you the performance of the
entire network as well as any of your project's resources. In this
course, you'll learn about the Google Performance Dashboard, create
a monitoring dashboard, write custom metrics, create log-based
metrics, and use Cloud Debugger. You'll review stack traces for
error analysis, setup service log exports to BigQuery, view logs in
the Google Console, monitor health and performance using Cloud
Monitoring, and review application performance using Cloud Trace.
You'll also use Prometheus to monitor and alert you on your
workloads and OpenTelemetry to monitor and analyze your
applications. Finally, you'll measure app performance using Cloud
Profiler and use documentation, forums, and Google Cloud support.
This course is one of a collection that prepares learners for the
Google Professional Cloud Developer exam.

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 immediately. The 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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