AWS Certified DevOps Engineer Training

About Course

AWS Certified DevOps Engineer training is a comprehensive program designed for IT professionals and DevOps practitioners looking to excel in cloud-based DevOps practices using Amazon Web Services (AWS). This training covers essential concepts such as continuous integration, continuous delivery, infrastructure as code, and automation, all within the AWS ecosystem. Participants learn to optimize and streamline development pipelines, manage AWS resources efficiently, and ensure the scalability and reliability of cloud-based applications. The course prepares individuals for the AWS Certified DevOps Engineer certification, a globally recognized credential that validates expertise in AWS DevOps practices, making them valuable assets in the cloud computing and DevOps domains.

Course Content

Domain 1: SDLC Automation

1.1 Apply concepts required to automate a CI/CD pipeline
1.2 Determine source control strategies and how to implement them
1.3 Apply concepts required to automate and integrate testing
1.4 Apply concepts required to build and manage artifacts securely
1.5 Determine deployment/delivery strategies (e.g., A/B, Blue/green, Canary, Red/black) and how to implement them using AWS Services

AWS Certified DevOps Engineer Training

About Course

What Will You Learn?

Course Content

Domain 1: SDLC Automation

1.1 Apply concepts required to automate a CI/CD pipeline

1.2 Determine source control strategies and how to implement them

1.3 Apply concepts required to automate and integrate testing

1.4 Apply concepts required to build and manage artifacts securely

1.5 Determine deployment/delivery strategies (e.g., A/B, Blue/green, Canary, Red/black) and how to implement them using AWS Services

Domain 2: Configuration Management and Infrastructure as Code

2.1 Determine deployment services based on deployment needs

2.2 Determine application and infrastructure deployment models based on business needs

2.3 Apply security concepts in the automation of resource provisioning

2.4 Determine how to implement lifecycle hooks on a deployment

2.5 Apply concepts required to manage systems using AWS configuration management tools and services

Domain 3: Monitoring and Logging

3.1 Determine how to set up the aggregation, storage, and analysis of logs and metrics

3.2 Apply concepts required to automate monitoring and event management of an environment

3.3 Apply concepts required to audit, log, and monitor operating systems, infrastructures, and applications

3.4 Determine how to implement tagging and other metadata strategies

Domain 4: Policies and Standards Automation

4.1 Apply concepts required to enforce standards for logging, metrics, monitoring, testing, and security

4.2 Determine how to optimize cost through automation

4.3 Apply concepts required to implement governance strategies

Domain 5: Incident and Event Response

5.1 Troubleshoot issues and determine how to restore operations

5.2 Determine how to automate event management and alerting

5.3 Apply concepts required to implement automated healing

5.4 Apply concepts required to set up event-driven automated actions

Domain 6: High Availability, Fault Tolerance, and Disaster Recovery

6.1 Determine appropriate use of multi-AZ versus multi-region architectures

6.2 Determine how to implement high availability, scalability, and fault tolerance

6.3 Determine the right services based on business needs (e.g., RTO/RPO, cost)

6.4 Determine how to design and automate disaster recovery strategies

6.5 Evaluate a deployment for points of failure