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AWS DevOps

AWS Certified DevOps Engineer – Professional (DOP-C02) Online Training & Certification Prep

Build and validate expert-level skills in CI/CD automation, infrastructure as code, monitoring, security automation, and high-availability deployment on AWS. This course prepares you for the DOP-C02 exam through Live Labs in real AWS environments and instruction from AWS Certified DevOps professionals.

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AWS Certified DevOps Engineer – Professional (DOP-C02) Online Training & Certification Prep

Course Overview

The AWS Certified DevOps Engineer – Professional (DOP-C02) validates advanced technical skills in implementing continuous delivery systems, automating security and compliance, operating highly available architectures on AWS, and monitoring distributed systems at scale. It is the definitive AWS credential for engineers who own the delivery pipeline and production reliability of cloud-hosted applications.

Boost eLearning delivers this course through Live Labs that provision real AWS environments for hands-on practice, video instruction from AWS Certified DevOps professionals with direct pipeline engineering experience, and scenario-based practice exams that replicate the complexity and length of DOP-C02 scenario questions.

The course covers all six DOP-C02 exam domains. The SDLC automation domain provides hands-on instruction in AWS CodeCommit, CodeBuild, CodeDeploy, and CodePipeline — including multi-account pipeline patterns, cross-Region deployments, and integration with third-party systems such as GitHub and Jenkins. You will implement blue/green and canary deployments on EC2, ECS, and Lambda using CodeDeploy deployment groups and AppSpec files, and validate rollback triggers using CloudWatch alarms.

Configuration management and infrastructure as code is a major domain focus. You will author AWS CloudFormation templates using advanced features — nested stacks, StackSets for multi-account deployments, drift detection, and CloudFormation hooks for pre-deployment validation. AWS CDK is covered as a programmatic alternative, with guidance on synthesising CDK apps into CloudFormation and managing CDK context and bootstrapping. AWS Systems Manager is treated in depth: Parameter Store hierarchies, Patch Manager baselines, Session Manager for auditable shell access, and Run Command for fleet-scale automation.

Monitoring and observability receives dedicated module coverage because DOP-C02 tests practical knowledge of Amazon CloudWatch: metrics, custom metrics via the PutMetricData API, CloudWatch Logs Insights query syntax, composite alarms, and Contributor Insights. AWS X-Ray distributed tracing, Amazon OpenSearch Service for log analytics, and AWS Distro for OpenTelemetry complete the observability stack.

The incident and event response domain covers AWS Systems Manager Incident Manager runbooks, AWS EventBridge rules for automated remediation, and AWS Config Rules with auto-remediation. Security and compliance automation ties together AWS Config conformance packs, AWS Security Hub, Amazon Inspector v2 pipeline integration, and IAM policy validation with Access Analyzer. Enrolment includes the Boost Pass Guarantee.

What You'll Learn

  • Design and implement multi-stage CI/CD pipelines using AWS CodePipeline with CodeCommit, CodeBuild, and CodeDeploy
  • Implement blue/green, canary, and rolling deployment strategies on EC2, ECS, and Lambda using CodeDeploy
  • Author and manage AWS CloudFormation templates using nested stacks, StackSets, drift detection, and change sets
  • Provision and configure infrastructure programmatically using the AWS Cloud Development Kit (CDK)
  • Automate configuration management and patch compliance using AWS Systems Manager at fleet scale
  • Build comprehensive observability solutions using CloudWatch metrics, alarms, Logs Insights, and X-Ray tracing
  • Automate security compliance checks using AWS Config Rules, Security Hub, and Inspector v2 pipeline integration
  • Implement automated incident response using Systems Manager Incident Manager, EventBridge, and runbook automation
  • Design high-availability architectures using multi-Region Route 53 routing, Auto Scaling, and resilient data stores
  • Enforce policy-as-code using CloudFormation Guard and IAM Access Analyzer in the CI/CD pipeline
  • Implement secrets and configuration management patterns using Secrets Manager and Parameter Store in automated workflows
  • Integrate containerised workloads into DevOps pipelines using Amazon ECR, ECS, and EKS

Who This Course Is For

  • DevOps engineers and platform engineers managing AWS delivery pipelines and production infrastructure
  • Site Reliability Engineers (SREs) working in AWS-native environments
  • AWS Certified SysOps Administrator – Associate or AWS Certified Developer – Associate holders advancing to Professional certification
  • Cloud engineers responsible for CI/CD platform ownership and IaC governance
  • Software engineers taking on DevOps responsibilities in cloud-native teams

Course Outline

DevOps Principles and the AWS DOP-C02 Exam Blueprint2 hours
  • DOP-C02 domain structure and weighting
  • DevOps culture and its mapping to AWS service capabilities
  • The AWS DevOps toolchain: CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CodeArtifact, CodeGuru
  • Relationship between DOP-C02 and AWS Certified Developer / SysOps Associate prerequisites
CI/CD Pipeline Design and SDLC Automation10 hours
  • AWS CodeCommit: branching strategies, pull request approvals, and repository triggers
  • AWS CodeBuild: buildspec.yml anatomy, environment variables, build caching, VPC access, and test reporting
  • AWS CodeArtifact: upstream repositories, domain and repository policies, and package versioning
  • AWS CodeDeploy: deployment groups, deployment configurations (HalfAtATime, AllAtOnce, OneAtATime), AppSpec files
  • Blue/green deployments on EC2 with CodeDeploy and on ECS with CodePipeline
  • Canary deployments on AWS Lambda using CodeDeploy traffic shifting and CloudWatch rollback alarms
  • Multi-account and multi-Region CodePipeline architectures using cross-account roles and EventBridge event buses
  • Integrating GitHub Actions, Jenkins, or Bitbucket Pipelines with CodePipeline via custom actions
  • Live Lab: Build a full CodePipeline u2014 CodeCommit u2192 CodeBuild unit tests u2192 CodeDeploy blue/green on ECS with automated rollback on CloudWatch alarm
Infrastructure as Code: CloudFormation and CDK10 hours
  • CloudFormation template anatomy: Parameters, Conditions, Mappings, Outputs, and cross-stack references
  • CloudFormation nested stacks and modular IaC design patterns
  • AWS CloudFormation StackSets: organisation deployments, deployment orders, and failure tolerance
  • CloudFormation drift detection and remediation workflows
  • CloudFormation hooks (Lambda and Guard hooks) for pre-deployment compliance
  • CloudFormation Guard (cfn-guard) policy-as-code for pipeline enforcement
  • AWS CDK: constructs (L1/L2/L3), stacks, apps, bootstrapping, and CDK Pipelines (self-mutating)
  • CDK best practices: context, environment-agnostic stacks, and aspect-based policy enforcement
  • AWS Service Catalog for standardising approved CloudFormation templates across an organisation
  • Live Lab: Author a CloudFormation StackSet to deploy a VPC baseline with a Config conformance pack across three accounts in an AWS Organization
Configuration Management and Systems Manager8 hours
  • AWS Systems Manager: SSM Agent installation, managed instance tiers, and on-premises instance activation
  • Parameter Store: tiers, SecureString parameters with KMS, parameter hierarchies, and reference in CloudFormation and CodeBuild
  • AWS Secrets Manager: automatic rotation with Lambda, cross-account access, and pipeline integration
  • Systems Manager Patch Manager: patch baselines, patch groups, maintenance windows, and compliance reporting
  • Session Manager for auditable, no-SSH shell access replacing bastion hosts
  • Run Command and State Manager for fleet-scale configuration enforcement
  • AWS AppConfig for feature flag management and safe configuration deployments with rollback
  • Live Lab: Configure Patch Manager with a custom patch baseline, assign EC2 instances to patch groups, and execute a maintenance window patching task
Monitoring, Observability, and Logging8 hours
  • CloudWatch metrics: namespaces, dimensions, high-resolution metrics (1-second granularity), and custom metrics via PutMetricData
  • CloudWatch alarms: metric alarms, composite alarms, anomaly detection bands, and alarm actions
  • CloudWatch Logs: log groups, log streams, subscription filters, Logs Insights query language
  • CloudWatch Container Insights and Lambda Insights for container and serverless observability
  • Amazon EventBridge rules: event patterns, scheduled rules, cross-account event buses, and pipes
  • AWS X-Ray: tracing SDK instrumentation, sampling rules, trace analysis, and service map interpretation
  • AWS Distro for OpenTelemetry (ADOT) for vendor-neutral telemetry collection
  • Amazon OpenSearch Service for log analytics: index patterns, Kibana dashboards, and alerting
  • Live Lab: Instrument a Lambda function with X-Ray active tracing, create a CloudWatch Logs Insights query to extract error rates, and build a composite alarm triggering rollback
Incident and Event Response Automation6 hours
  • AWS Systems Manager Incident Manager: response plans, engagement plans, runbooks, and post-incident analysis
  • AWS Config Rules: managed rules, custom Lambda rules, and remediation actions
  • AWS Config conformance packs for multi-service compliance baselines
  • EventBridge rules for automated remediation: auto-stopping non-compliant EC2 instances, auto-tagging resources
  • AWS Health Dashboard and AWS Health API for proactive operational event handling
  • AWS Fault Injection Simulator (FIS): experiment templates, IAM roles, and stop conditions for chaos engineering
  • Live Lab: Create an AWS FIS experiment that terminates a random EC2 instance in an Auto Scaling group and validate that CloudWatch alarms and EventBridge remediation trigger correctly
High-Availability and Resilient Deployment Patterns6 hours
  • EC2 Auto Scaling: predictive scaling, scheduled scaling, warm pools, and lifecycle hooks for pre-warming
  • Amazon ECS rolling update deployment circuit breakers and deployment alarms
  • Amazon EKS cluster upgrades, pod disruption budgets, and Karpenter node autoprovisioning
  • Route 53 active-passive and active-active failover with health check integration
  • Amazon RDS Multi-AZ events, Aurora Blue/Green deployments for schema migrations with minimal downtime
  • AWS Resilience Hub: resiliency policy definition, compliance status, and operational recommendations
Security and Compliance Automation in DevOps Pipelines5 hours
  • Integrating Amazon Inspector v2 into CodePipeline for container image and Lambda function vulnerability scanning
  • AWS Security Hub findings aggregation and custom actions for automated pipeline gating
  • IAM Access Analyzer policy validation in CI/CD workflows
  • Secrets detection in source code: CodeGuru Detector Library and pre-commit hook patterns
  • Cross-account pipeline security: condition keys, resource-based policies, and KMS key grants
  • AWS Control Tower customisations (CfCT) for enforcing guardrails in automated account vending
DOP-C02 Exam Preparation and Scenario Practice5 hours
  • DOP-C02 question strategy: parsing multi-paragraph scenarios and identifying the single best answer
  • Scenario: migrate a Jenkins-based pipeline to AWS CodePipeline with feature parity and zero-downtime deployment
  • Scenario: design an observability strategy for a microservices application on ECS with SLO-based alerting
  • Full-length timed practice exam (75 questions)
  • Domain-by-domain score analysis and targeted remediation plan

About the Certification Exam

Exam code
DOP-C02
Length
180 minutes
Questions
75 scored questions (multiple choice and multiple response)
Passing score
750 out of 1000
Exam cost
~$300 USD
Where
Pearson VUE / PSI online proctored or at an authorised testing centre

The certification exam fee is paid separately to the testing provider and is not included in the course price unless stated otherwise.

Live Labs Included

Hands-on practice on real environments

This course includes Live Labs — direct access to real hardware and cloud environments so you build the skills the exam actually tests.

  • Build a complete CodePipeline from CodeCommit source through CodeBuild unit tests and static analysis to CodeDeploy blue/green deployment on ECS, with an automated CloudWatch alarm rollback trigger
  • Author a CloudFormation StackSet that deploys a VPC baseline and an AWS Config conformance pack across three member accounts in an AWS Organization using delegated administrator mode
  • Configure AWS Systems Manager Patch Manager with a custom patch baseline, assign instances to patch groups via tags, schedule a maintenance window, and validate patch compliance reporting in the console
  • Instrument a containerised application on ECS with AWS X-Ray active tracing, configure a CloudWatch Logs Insights query for P99 latency, and create a composite alarm linked to a CodeDeploy rollback action
  • Create an AWS Fault Injection Simulator (FIS) experiment that terminates random EC2 instances within an Auto Scaling group; verify that the scaling policy restores capacity and that CloudWatch alarms fire within expected thresholds
  • Integrate Amazon Inspector v2 into a CodePipeline build stage to scan a container image pushed to Amazon ECR; configure the pipeline to fail the build if critical vulnerabilities above a defined severity threshold are detected

Pass Guarantee Included

Complete this course and if you don't pass the certification exam on your first attempt, we'll refund your course fee or give you a free retake — your choice.

Read the guarantee →

Frequently Asked Questions

AWS recommends at least two years of experience provisioning, operating, and managing AWS environments and that candidates hold either AWS Certified Developer – Associate or AWS Certified SysOps Administrator – Associate. Strong familiarity with Linux, scripting (Python or shell), and CI/CD concepts is assumed throughout the course.
Both. CloudFormation receives deep coverage including StackSets, hooks, and Guard policy-as-code. CDK is covered as a first-class topic including constructs (L1/L2/L3), CDK Pipelines for self-mutating pipeline infrastructure, and CDK aspects for policy enforcement — reflecting its growing presence in DOP-C02 exam questions.
Yes, at the level tested in DOP-C02. The course covers EKS managed node groups vs Fargate profiles, IRSA (IAM roles for service accounts), cluster upgrade procedures, pod disruption budgets, and Karpenter autoprovisioning. Deep Kubernetes internals are beyond the DOP-C02 scope and are not a focus of this course.
Boost eLearning Live Labs that require multiple AWS accounts provision isolated multi-account environments including a management account and member accounts with pre-configured AWS Organizations structures. You operate across accounts using the real AWS console and CLI with cross-account IAM roles — the same pattern used in production.
Both are Professional-level AWS credentials but with different emphases. DOP-C02 focuses on CI/CD pipeline design, infrastructure automation, operational monitoring, and incident response. SAP-C02 focuses on large-scale architecture design, complex networking, migration planning, and multi-account governance. Many senior cloud professionals hold both.
To activate the Pass Guarantee, you must complete all course modules and use at least three Live Lab sessions, then attempt the DOP-C02 exam. If you do not pass, Boost eLearning will provide a complimentary course repeat with continued Live Lab access. Evidence of exam attempt is required.
AWS Professional certifications are valid for three years. Recertification is achieved by passing the current version of the DOP exam or by passing an AWS Specialty certification before the expiry date.
Yes, in the context of AWS integration. The SDLC automation module covers how to integrate GitHub and Jenkins with AWS CodePipeline using custom source actions, webhook-based triggers, and EventBridge event patterns. The course does not teach Jenkins or GitHub Actions administration as standalone topics.

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