CompTIA AutoOps+ (AT0-001)

Manual infrastructure changes, ad hoc deployments, and inconsistent pipeline practices increase outage risk and slow delivery. IT Directors can assign this intermediate CompTIA AutoOps+ (AT0-001) training to systems, cloud, and network administrators moving into automated, pipeline-driven operations.

The course is a realistic team investment: about 28 hours of video per learner, plus lab time for practicing commands and configurations. It is best suited for IT Practitioners who already have infrastructure experience and need a shared foundation in Linux CLI, Python, Git, containers, Terraform, Ansible, CI/CD, deployment strategies, monitoring, and secure pipelines.

For change management, Team Leads can roll this out by workflow area: scripting and Git first, then IaC and configuration management, then CI/CD and secure delivery. CBT Nuggets Virtual Labs support hands-on practice even when learners do not have a local lab environment.

IT teams complete this training to move from manual operations toward repeatable, testable automation practices. The course uses hands-on scenarios that map to common production risks: broken configurations, insecure container builds, unreliable deployments, and unclear service expectations.

• Reduce deployment risk: Teams compare deployment strategies such as in-place, rolling, blue-green, and canary approaches instead of pushing changes haphazardly and hoping they work.
• Improve troubleshooting speed: IT Practitioners practice diagnosing automation and system configuration problems, including connectivity and configuration issues.
• Strengthen pipeline reliability: Teams learn why unit, integration, regression, load, and smoke testing matter for CI/CD workflows.
• Support secure delivery: Labs include analyzing a Docker image build for weaknesses, modifying the Dockerfile, testing the container, and publishing the image to a local registry.

Knowledge

• Linux CLI fundamentals used in automation workflows
• Python basics, structured data, PowerShell, logs, and regular expressions
• Git concepts, branching, workflows, and code lifecycle troubleshooting
• Container concepts, dependency management, artifacts, and secure pipeline concerns
• Infrastructure as Code concepts with Terraform, Ansible, and related IaC tools
• CI/CD basics, Jenkins pipelines, GitHub Actions, GitOps, Argo CD, deployment strategies, QA, monitoring, and service levels

Ability

• Practice commands and configurations in a lab environment
• Build, test, tag, and publish container images in a local registry
• Use Terraform and Ansible concepts to manage infrastructure and device configurations
• Troubleshoot system configuration and automation issues methodically
• Apply testing concepts to make CI/CD pipelines more reliable
• Recognize where TLS certificates, secrets, and secure pipeline practices reduce operational risk