Implement CI/CD pipelines for multi-agent systems with GitHub Actions

  • Module
  • 7 Units
Advanced
AI Engineer
DevOps Engineer
Solution Architect
Azure
Microsoft Foundry
GitHub

Implement enterprise CI/CD pipelines for multi-agent systems using GitHub Actions and Microsoft Foundry. Design coordinated deployment pipelines with agent version compatibility validation, implement progressive deployment strategies including canary releases, configure multi-environment agent deployments with infrastructure as code, and automate rollback triggered by quality regression detection.

Learning objectives

By the end of this module, you'll be able to:

  • Design CI/CD pipelines that validate version compatibility across interdependent multi-agent systems
  • Implement progressive deployment strategies including canary releases and blue-green deployment for agent updates
  • Configure multi-environment deployment strategies for agent ecosystems from development through production
  • Automate rollback procedures triggered by quality regression detection

Prerequisites

Before starting this module, you should have:

  • Experience with GitHub Actions for CI/CD workflows in AI projects
  • Familiarity with Microsoft Foundry project deployment
  • Understanding of infrastructure as code with Bicep or Terraform
  • Experience with GenAIOps practices from the Operationalize generative AI applications learning path or equivalent
  • Proficiency in Python and YAML

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