The Exam Readiness: AWS Certified DevOps Engineer – Professional course is designed to prepare learners for success in the AWS Certified DevOps Engineer – Professional certification exam. This in-depth training equips participants with the skills needed to implement DevOps practices across AWS services, focusing on automation, continuous delivery, security, monitoring, and high availability.

Learners will explore core concepts such as SDLC automation, Infrastructure as Code, monitoring and logging, policy enforcement, and automated incident response, using AWS-native tools. The course also emphasizes real-world DevOps use cases like blue/green deployments, automated testing, and resilient system design to help participants apply their knowledge in practical cloud environments.

The course covers key areas such as:

• SDLC Automation: Design and implement CI/CD pipelines using AWS CodePipeline, CodeBuild, CodeDeploy, and CodeCommit. Learn about source control, secure artifact management, and deployment models such as blue/green and canary.
• Configuration Management and Infrastructure as Code (IaC): Apply IaC principles using AWS CloudFormation and related services. Implement secure, consistent, and scalable infrastructure provisioning with configuration management tools like AWS OpsWorks, Ansible, Chef, and Puppet.
• Monitoring and Logging: Build robust monitoring and log analysis solutions using Amazon CloudWatch and AWS Config. Automate alerting, create dashboards, and manage performance and cost tracking.
• Policies and Standards Automation: Enforce compliance and security policies using AWS Config rules and Service Control Policies. Automate governance, tagging, and cost optimization strategies across environments.
• Incident and Event Response: Automate troubleshooting and event-driven workflows using Amazon EventBridge, Lambda, and Systems Manager. Implement self-healing architectures for improved operational resilience.
• High Availability and Disaster Recovery: Design fault-tolerant architectures, automate recovery procedures, and evaluate deployment strategies for availability and business continuity.

Course Prerequisites

To ensure success in this course, participants should meet the following prerequisites:

• Understanding of Software Development Lifecycle (SDLC) and associated tools
• Familiarity with CI/CD practices and concepts
• Hands-on experience with at least one high-level programming language (e.g., Python, Java, Ruby)
• Working knowledge of core AWS services and basic architectural best practices
• Experience with AWS Developer Tools like CodePipeline, CodeCommit, CodeBuild, and CodeDeploy
• Proficiency in Infrastructure as Code, especially using AWS CloudFormation
• Understanding of version control systems, preferably Git
• Familiarity with automated testing frameworks
• Experience with configuration management tools (e.g., Ansible, Puppet, Chef, OpsWorks)
• Basic understanding of monitoring, logging, and cost optimization in AWS
• Exposure to incident response and event management in cloud environments

These prerequisites ensure that learners can fully grasp advanced DevOps practices and apply them effectively during and after the course.

Target Audience

The Exam Readiness: AWS Certified DevOps Engineer – Professional course is designed for experienced IT professionals who want to validate their skills and advance their careers in cloud DevOps engineering:

• DevOps Engineers
• AWS Cloud Architects
• Software Developers
• System Administrators
• IT Managers
• Quality Assurance Engineers
• Operations Managers
• Technical Project Managers

Why Choose us

⭢ Live Online Training (Duration : 8 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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Learning Objectives

After completing the Exam Readiness: AWS Certified DevOps Engineer – Professional course, learners will be able to:

• Automate the CI/CD pipeline to streamline software development workflows using AWS tools
• Apply effective source control strategies to ensure code integrity and collaboration
• Integrate automated testing into delivery pipelines to enhance code reliability
• Securely manage build artifacts and dependencies within the software lifecycle
• Implement modern deployment techniques such as A/B testing, blue/green, and canary deployments
• Use Infrastructure as Code (IaC) to provision and manage AWS infrastructure consistently
• Enforce compliance and security standards through automated tools and services
• Set up comprehensive monitoring and logging to gain visibility into applications and infrastructure
• Automate event handling and incident response for high availability and minimal downtime
• Design resilient systems and disaster recovery strategies that support business continuity