Build a Learning Habit
Download Class Central's free printable study calendar
Download for Free
- 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 canary and blue-green deployment strategies, configure multi-environment strategies, and automate rollback triggered by quality regression metrics.
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
- Secure production multi-agent systems using Azure zero-trust architecture principles. Apply per-agent managed identities with least-privilege access and design authentication flows covering managed identity, on-behalf-of (OBO), user-delegated, and key-based patterns. Manage secrets lifecycle with Azure Key Vault, including rotation and customer-managed keys (CMK) encryption, and design network controls to prevent lateral movement. Implement multitenant data isolation and configure compliance controls for enterprise regulatory requirements.
By the end of this module, you're able to:
- Apply zero-trust security principles to multi-agent architectures with per-agent managed identities and least-privilege access
- Design authentication flows for multi-agent solutions including managed identity, on-behalf-of, user-delegated OAuth2, and key-based fallback
- Manage secrets lifecycle using Azure Key Vault including certificates, automated rotation, role-based access control granularity, and encryption choices
- Design network security controls to prevent lateral movement across agent networks
- Implement multitenant data isolation to prevent cross-tenant data leakage in shared agent deployments
- Configure compliance controls for SOC 2, EU data privacy, EU AI Act, and industry-specific regulatory requirements
- Scale responsible AI governance to enterprise multi-agent systems using Azure AI Content Safety and Microsoft Foundry. Design systematic fairness and bias monitoring for agent decision chains, implement transparency and explainability mechanisms, configure privacy protection, and establish audit trail frameworks.
By the end of this module, you'll be able to:
- Design systematic fairness and bias monitoring pipelines for multi-agent decision chains
- Implement transparency and explainability mechanisms that trace complex agent outputs to their sources
- Configure privacy protection and data minimization for multi-agent data handling pipelines
- Establish accountability frameworks with complete audit trails for enterprise agent deployments
- Govern the enterprise agent lifecycle in Microsoft Foundry. Design agent versioning strategies and approval workflows, implement usage quotas and cost allocation models, establish change management processes for behavioral updates, and design agent retirement workflows that minimize business disruption.
By the end of this module, you'll be able to:
- Design agent versioning strategies and approval workflows for controlled production updates
- Implement usage quotas, rate limiting, and cost allocation models for enterprise agent operations
- Establish change management and behavioral risk assessment processes for agent updates
- Design agent retirement and deprecation workflows that minimize disruption to downstream consumers
