Course: AWS DevOps Engineer Professional (Exam DOP-C01)

$369.00

$446.49 incl. vat

duration: 102 hours |

Language: English (US) |

access duration: 365 days |

Incompany available

Details

As an AWS Certified DevOps Engineer, you will be an expert in developing and maintaining AWS applications. This course is the right start to achieving this expertise. Also, after completing this course, you will be fully prepared for the certification exam to become an AWS Certified DevOps Engineer-Professional (DOP-C01).

In this course:

You will explore the Continuous Integration and Continuous Delivery (CI/CD) pipeline concept, the DevOps model, the AWS CodeCommit service and various operations using standard Git-based commands.
You will learn how to protect access to the AWS CodeCommit service.
You will work with branches, merging and pull requests, and set up Identity and Access Management (IAM) policies for fine-grained control of CodeCommit repositories.
You will get started with the AWS CodeBuild service that provides fully managed software build services for a CI/CD workflow. You will also learn how to work with CodeBuild projects.
You will find out how the AWS CodeDeplo service provides fully managed software deployment services on various cloud and hybrid computing platforms.
You will be introduced to AWS CodePipeline and its terminology, actions and executions.
You will learn how to perform failure detection, handling and response to failures.

Result

At the end of this training, you will be fully prepared for the certification exam to become an AWS Certified DevOps Engineer-Professional (DOP-C01).

Prerequisites

Two or more years of experience delivering, operating and managing AWS environments. In addition, experience developing code in at least one programming language is recommended.

Target audience

Software Developer, Web Developer

Content

AWS DevOps Engineer Professional (Exam DOP-C01)

102 hours

AWS DevOps Engineer Professional 2021: CodeCommit

Continuous integration and continuous delivery (CI/CD) include
automated and repeatable processes that streamline the software
development life cycle (SDLC). In this course, you'll examine the
AWS CodeCommit service that provides Git-based source code
versioning infrastructure for CI/CD. You will begin by exploring
the CI/CD pipeline concept, the DevOps model, the AWS CodeCommit
service, and how to identify use cases for CodeCommit. Next, secure
access to the AWS CodeCommit service, create a repository, and
explore various operations using standard Git-based commands.
Moving on, you will work with branches, merging, and pull requests
and set Identity and Access Management (IAM) policies for
fine-grained control of CodeCommit repositories. Finally, configure
repository event notifications and AWS Lambda triggers for
responding to CodeCommit events. This course is one of a collection
of courses that prepares you for the AWS Certified DevOps Engineer
- Professional (DOP-C01) certification exam, covering objectives
from Domain 1 of the exam topics.

AWS DevOps Engineer Professional 2021: CodeBuild

The integration phase of a software development lifecycle (SDLC)
incorporating continuous integration and continuous delivery
(CI/CD) principles includes the software build step where key build
and test workflows occur. In this course, you'll explore the AWS
CodeBuild service that provides fully managed software build
services for a CI/CD workflow. Discover the AWS CodeBuild service
and learn how to work with CodeBuild projects, including the
function of the buildspec file and the specifics of build
environments. Next, use AWS CodeBuild projects and manage build
output artifacts. Move on to logging and monitoring the CodeBuild
service and then configure and integrate CloudWatch alarms with
CodeBuild. Focus on test reporting and consider how Jenkins may be
integrated with CodeBuild. Finally, configure Jenkins Automation
Server on AWS and explore code coverage reporting using CodeCov.
This course is one of a collection of courses that prepares you for
the AWS Certified DevOps Engineer - Professional (DOP-C01)
certification exam.

AWS DevOps Engineer Professional 2021: AWS CodeDeploy

The deployment phase is the final phase of the software
development lifecycle (SDLC) in a CI/CD workflow. During
deployment, code is moved from version control and automated to
users. In this course, discover how the AWS CodeDeploy service
provides fully-managed software deployment services to various
cloud and hybrid compute platforms. Begin by exploring AWS
CodeDeploy's main components and applications, investigate how
deployments are performed, and learn about AWS CLI configurations.
Next, practice EC2 instance configuration and work with deployment
configurations and deployment groups. Finally, explore deployment
logging and monitoring support and how to configure deployment for
automatic rollback from a failed deployment. This course is one of
a collection of courses that prepares you for the AWS Certified
DevOps Engineer - Professional (DOP-C01) certification exam.

AWS DevOps Engineer Professional 2021: CodePipeline

A continuous integration and continuous delivery (CI/CD)
pipeline is a software development lifecycle (SDLC) construct that
models how software moves from version control to release in a
sequence of well-defined steps that include commit, build, and
deploy stages. In this course, you will explore AWS CodePipeline,
associated terminology, actions, executions, and artifacts. Dive
into CodePipeline by building a pipeline, integrating with other
AWS services, and implementing approvals. Explore how monitoring is
realized in CodePipeline and how CodePipeline works with CodeCommit
source actions. Configure stage actions and discover how to
integrate test actions in CodePipeline. Then, examine security
considerations and examine use cases and best practice while using
CodePipeline. Finally, integrate CodePipeline with CloudFormation
and compose an application using AWS CodeStar. This course is one
of a collection of courses that prepares you for the AWS Certified
DevOps Engineer - Professional (DOP-C01) certification exam.

AWS DevOps Engineer Professional 2021: Logs & Metrics

In order to manage large, complex cloud systems, computer
professionals need information from diverse sources. This
information is typically collected in the form of logs and metrics.
Today's IT professionals need to understand the tools available to
collect and aggregate logs and metrics in the AWS cloud to get
maximum benefit from their insight. Begin by exploring the
fundamentals and challenges of logging in a distributed
architecture. Discover the importance of structured logging and
examine methods for collecting logs from various sources, as well
as tools for aggregating those logs in a central location for
analysis. Then, you will learn how to monitor custom metrics in AWS
using CloudWatch, configure log subscription filters to filter logs
in CloudWatch, and configure AWs Elastisearch to search for logs
from CloudWatch. Finally, focus on the log storage lifecycle for
managing logs and the popular Elastisearch, Logstash and, Kibana
(ELK stack) for visualizing logs in the cloud. This course is one
of a collection of courses that prepares you for the AWS Certified
DevOps Engineer - Professional (DOP-C01) certification exam,
covering objectives from Domain 3 of the exam topics.

AWS DevOps Engineer Professional 2021: Automated Monitoring

With huge amounts of log and metric data, today's distributed
cloud environments are too complex to monitor manually, which is
why AWS offers many tools for automating the process of monitoring
the system. Discover why it is crucial to automate cloud logging
and monitoring. Learn how to monitor your environment with AWS
Virtual Private Cloud (VPC) Flow Logs, user activity using AWS
CloudTrail, and security threats using AWS Enterprise Security
Manager (ESM). Explore the AWS tools available for automating all
aspects of system monitoring. Use the AWS Personal Health Dashboard
to get an overview of events in the system and enable data event
logging in AWS S3. Finally, examine autoscaling groups in AWS and
how they can improve failover and reliability. This course is one
of a collection that prepares learners for the AWS Certified DevOps
Engineer - Professional (DOP-C01) certification exam, covering
objectives from Domain 3 of the exam topics.

AWS DevOps Engineer Professional 2021: System Monitoring in AWS

Cloud services contain many different technologies working
together. These technologies need to be monitored effectively for
the entire system to be healthy. Today's IT professional needs to
know how to monitor a system in AWS using the correct approaches
and tools. In this course, you will learn best practices for
monitoring in AWS. Explore the importance of monitoring service
metrics using AWS X-Ray and how to use the AWS Config service and
config rules for configuration monitoring. Learn how AWS Inspector
monitors the environment state to keep the environment healthy. See
how to analyze system metrics with AWS Metric Explorer and test an
API in AWS. Learn about container monitoring and some of the
benefits and challenges of monitoring containers. Finally, discover
how automated and manual monitoring can be used together to ensure
the health of a system. This course is part of a collection of
courses that prepares you for the AWS Certified DevOps Engineer -
Professional (DOP-C01) certification exam, covering objectives from
Domain 3 of the exam topics.

AWS DevOps Engineer Professional 2021: Tagging & Metadata Strategies

To monitor a system effectively, you must keep track of every
part. AWS cloud solutions rely on massive amounts of resources,
information, and strategies for maintaining oversight. Tags and
metadata aid in the ordering and oversight of the entire system. In
this course, learn about tagging and metadata in AWS. Discover how
to validate requests with global condition context keys and use
metadata for automation. Next, explore CodeDeploy deployment groups
and discover how to use tags to control resource deployment.
Finally, learn how to use cost allocation tags for cost analysis.
This course is one of a collection of courses that prepares you for
the AWS Certified DevOps Engineer - Professional (DOP-C01)
certification exam, covering objectives from Domain 3 of the exam
topics.

AWS DevOps Engineer Professional 2021: CloudFormation

Infrastructure as Code (IaC) is used to automate the
provisioning and management of enterprise infrastructure. With the
help of this course, explore AWS CloudFormation to provision and
manage enterprise infrastructure using the IaC model. Get started
by examining how the IaC model is used to provision infrastructure
and learning more about the features of AWS CloudFormation, such as
stacks, stack sets, templates, and template components. You will
then discover how to incorporate public parameters from SSM, deploy
Lambda functions, and custom resources. Once you've completed this
course, you'll have a fundamental understanding of AWS
CloudFormation, its features, and nuances. This course is part of a
collection that prepares learners for the AWS Certified DevOps
Engineer Professional (DOP-C01) certification exam.

AWS DevOps Engineer Professional 2021: Elastic Beanstalk

Developing on Amazon Web Services (AWS) can be overwhelming due
to the number of services it offers. As a result, many developers
like to use AWS Elastic Beanstalk due to its automatic capacity
provisioning, load balancing, auto-scaling, and application health
monitoring capabilities. In this course, learn how to manage AWS
applications and environments using Elastic Beanstalk. First,
explore its features and supported platforms. Next, discover how it
deploys applications and how to work with the Elastic Beanstalk
Command Line Interface (EB CLI). Last, practice creating, managing,
and deploying various applications. Once you've completed this
course, you'll be able to use and support AWS Elastic Beanstalk.
This course is part of a collection that prepares learners for the
AWS Certified DevOps Engineer Professional (DOP-C01) certification
exam.

AWS DevOps Engineer Professional 2021: Serverless Architecture

Serverless architectures provide cloud-based server software and
hardware management on a pay-per-use basis. Use this course to
explore the serverless model in AWS. Begin by exploring use cases
for AWS Lambda before examining how to work with Lambda functions,
including versions, aliases, and advanced configuration settings.
Next, investigate the SAM framework and how it integrates with AWS
CodeDeploy before exploring AWS Step Functions. Finally, dive into
the world of API Gateway and learn about stages, deployments, and
Lambda integration. Upon course completion, you'll be able to use
the SAM framework to achieve a serverless architecture. This course
is part of a collection that prepares learners for the AWS
Certified DevOps Engineer Professional (DOP-C01) certification
exam.

AWS DevOps Engineer Professional 2021: Container Services

AWS offers various container services you can integrate to
create a microservice architecture. Containers use fewer system
resources than traditional virtual machines (VMs), and with
containers, application deployment is quicker and more flexible. In
this course, explore Docker and Amazon Elastic Container Service
(ECS). Discover how ECS clusters, task definitions, and services
are used to deploy containerized solutions. Next, work with the
Elastic Container Registry (ECR) service and ECS to deploy a web
application. Finally, learn about the AWS Fargate service and
explore the Amazon Elastic Kubernetes Service (EKS). Upon course
completion, you'll be able to use AWS ECS and ECR to deploy
containers. This course is part of a collection that prepares
learners for the AWS Certified DevOps Engineer Professional
(DOP-C01) certification exam.

AWS DevOps Engineer Professional 2021: Configuration Management

Configuration management is a process for keeping your computer
systems consistent, both with running servers and servers yet to be
built. Configuration management helps you centrally define the
exact state of your infrastructure. AWS offers tools to aid you in
the configuration management aspects of your AWS deployments.
Explore the concept of configuration as code (CaC) and its key
benefits. Investigate the features of the AWS OpsWorks and the AWS
Config services. Discover AWS OpsWorks Stacks for managing
applications and servers, OpsWorks for Chef Automate with powerful
automation tools for security and compliance, and the
infrastructure and application management tools of OpsWorks for
Puppet. Examine the various OpsWorks lifecycle events and finish
this course by using the AWS Config service to evaluate and monitor
the configurations of your AWS resources. This course is part of a
collection of courses that prepares learners for the AWS Certified
DevOps Engineer Professional (DOP-C01) certification exam.

AWS DevOps Engineer Professional 2021: Incident Logging & Response

Service downtime and security incidents may lead to lost revenue
and negative customer experiences. Regular health checks and
effective monitoring detects issues before they cause complete
outages. DevOps engineers must know how to monitor resource health,
performance, and security incidents across distributed applications
and systems on the AWS platform. In this course, you'll learn how
to detect and respond to security incidents. Discover how to
leverage AWS CloudWatch for application and infrastructure
monitoring. Explore how to use logging to monitor application,
operating system, and infrastructure health and performance.
Finally, learn about delivery models for logs and metrics. This
course is part of a series that helps learners prepare for the AWS
Certified DevOps Engineer – Professional exam (DOP-C01), focusing
on objectives from Domain 4 of the exam requirements.

AWS DevOps Engineer Professional 2021: Cost Management & Optimization

Cost management allows enterprises to monitor and manage costs
associated with its cloud technology in an environment where costs
can spiral out of control. DevOps engineers must know how to use
automated tools to manage costs on the AWS platform effectively.
Explore how to use cost management tools like AWS Cost Explorer and
AWS Budgets to track, budget, and optimize costs. Learn about AWS
CloudFormation and Service Catalog and how to automate repeatable
functions to save time and reduce cost. Finally, discover how to
detect resource drift and automate cost optimization using Trusted
Advisor. This course is part of a series that helps learners
prepare for the AWS Certified DevOps Engineer – Professional exam
(DOP-C01), focusing on objectives from Domain 4 of the exam
requirements.

AWS DevOps Engineer Professional 2021: Governance & Compliance

Cloud governance is a framework of policies and standards that
help enterprises manage their cloud infrastructure operations and
security. This ensures that as the enterprise cloud footprint
grows, its objectives are met without breaching compliance
obligations or exceeding risk tolerance. DevOps engineers must be
prepared to effectively deploy and manage governance strategies
across the AWS platform. Explore how to broadly apply governance
standards across the CI/CD pipeline and measure compliance with
these standards in real-time. Learn how to report on compliance
with governance strategies. Finally, discover how to deploy
governance policies to specific services. This course is part of a
series that helps learners prepare for the AWS Certified DevOps
Engineer – Professional exam (DOP-C01), focusing on objectives from
Domain 4 of the exam requirements.

AWS DevOps Engineer Professional 2021: Troubleshoot & Restore Operations

Troubleshooting issues and being able to restore operations is a
critical part of AWS incident and event response. In this course,
you will begin by learning how to narrow down unhealthy components,
mitigate the impact of increased load, and respond to and
understand the causes and impacts of failure. Learn how to
investigate logged events to correlate them to application
components and learn about incident domains and Identity and Access
Management (IAM) policies. Identify the best operational practices,
rollback, and backup procedures. Finally, you will recognize the
benefits of monitoring and observability and how to utilize and
benefit from metrics and alarms. This course is one of a collection
that prepares learners for Domain 5: Incident and Event Response of
the AWS Certified DevOps Engineer – Professional (DOP-C01)
Exam.

AWS DevOps Engineer Professional 2021: Event Management & Alerting

Automation of event management and alerting is a crucial part of
AWS incident and event response. In this course, learn how to
create automated restores from backup, deliver alerts and
notifications, assess alerts, and update limits proactively.
Investigate code repository best practices, including when and how
to implement them. Explore custom metrics and practice updating
limits with an AWS limit monitor. Take a look at hybrid cloud
deployments and cost optimization. Finally, focus on the benefits
of the different types of Amazon Kinesis and how to use AWS Lambda
to consume events from a Kinesis stream. This course is one of a
collection that prepares learners for Domain 5: Incident and Event
Response of the AWS Certified DevOps Engineer – Professional
(DOP-C01) Exam.

AWS DevOps Engineer Professional 2021: Deployment Strategies

Implementing deployment strategies is an important part of AWS
high availability (HA), fault tolerance (FT), and disaster recovery
(DR). In this course, learn how to design deployment strategies to
help support your high availability, fault tolerance, and
scalability needs. Next, discover how to assess the statefulness of
various application infrastructure components and distribute
traffic across multiple instance types using load balancing.
Finally, practice using Amazon ElastiCache, CloudFront, and Route
53 to cache solutions and improve availability and performance.
This course is one of a collection that prepares learners for
Domain 6: High Availability, Fault Tolerance, and Disaster Recovery
of the AWS Certified DevOps Engineer – Professional (DOP-C01)
Exam.

AWS DevOps Engineer Professional 2021: Multi-AZ & Multi-Region Architectures

Determining when to use Multi-AZ vs. Multi-Region architectures
is a crucial part of AWS high availability, fault tolerance, and
disaster recovery. In this course, learn how to determine
deployment strategies based on high availability and disaster
recovery requirements and determine a data replication strategy
based on specific requirements like cost and durability. Next,
discover how to determine which services are needed based on
requirements. Finally, explore how to design high availability,
fault tolerance, and disaster recovery based on service
availability. This course is one of a collection that prepares
learners for Domain 6: High Availability, Fault Tolerance, and
Disaster Recovery of the AWS Certified DevOps Engineer –
Professional (DOP-C01) Exam.

AWS DevOps Engineer Professional 2021: Services Based Needs

Determining which services are required based on business needs
is integral for AWS High Availability (HA), Fault Tolerance (FT),
and Disaster Recovery (DR). In this course, examine various AWS
services and learn how to use Amazon S3 Intelligent-Tiering, Amazon
S3 Glacier storage, Amazon Elastic Block Store (EBS), and Amazon
OpenSearch to determine cost-effective storage for applications.
Next, discover how to choose configuration and platform
requirements for your database, which deployment service/model is
ideal, and when to use a managed service over a self-managed
service. This course is one of a collection that prepares learners
for Domain 6: High Availability, Fault Tolerance, and Disaster
Recovery of the AWS Certified DevOps Engineer – Professional
(DOP-C01) Exam.

AWS DevOps Engineer Professional 2021: Disaster Recovery Strategies

Determining how to design and automate disaster recovery
strategies is paramount for properly utilizing AWS high
availability, fault tolerance, and disaster recovery. In this
course, learn how to design for and use AWS disaster recovery and
examine some of the available disaster recovery options. Next,
explore how to automate failure detection as well as component and
environmental recovery. Finally, discover how to choose appropriate
deployment strategies and design and support failover in hybrid
environments. This course is one of a collection that prepares
learners for Domain 6: High Availability, Fault Tolerance, and
Disaster Recovery of the AWS Certified DevOps Engineer –
Professional (DOP-C01) Exam.

AWS DevOps Engineer Professional 2021: Points of Failure Deployments

Evaluating deployments for points of failure is a key role in
AWS high availability, fault tolerance, and disaster recovery. In
this course, learn how to implement deployment-specific health
checks, failure detection, and failure event handling and response.
Next, discover how to ensure measures are put in place to react
appropriately to failures during deployment and troubleshoot them.
Next, explore how to identify exit codes on events and use AWS
Cloud Map to map errors to various points of deployment. This
course is one of a collection that prepares learners for Domain 6:
High Availability, Fault Tolerance, and Disaster Recovery of the
AWS Certified DevOps Engineer – Professional (DOP-C01) 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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