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 Duration 21 hours

Course Outline

Mastra Workflow Architecture and Fundamental Concepts

  • Exploring workflow primitives and orchestration layers.
  • Analyzing agent-to-workflow communication models.
  • Identifying design patterns suited for automation-centric systems.

Preparing the Environment for Workflow Automation

  • Configuring workflow engines and essential supporting services.
  • Managing environment variables, secrets, and system configuration.
  • Preparing clusters for workflow execution and agent coordination.

Constructing Multi-Agent Workflows

  • Chaining tasks across various agents.
  • Establishing dependencies and coordination rules.
  • Addressing workflow timeouts and handling edge cases.

Parallelization and Performance Strategies

  • Designing workflows to support high concurrency.
  • Balancing workloads across distributed agents.
  • Implementing parallel execution and fan-out patterns.

Observability and Troubleshooting Multi-Agent Workflows

  • Tracing workflow execution across different systems.
  • Integrating dashboards via Grafana and analyzing logs.
  • Debugging agent interactions and resolving orchestration failures.

Automation Optimization and Reliability Engineering

  • Identifying performance bottlenecks in workflow execution.
  • Enhancing reliability through retries, fallback strategies, and state management.
  • Refining orchestration to ensure predictable automation outcomes.

Integration with Enterprise Systems and Data Flows

  • Connecting workflows to APIs, services, and event streams.
  • Coordinating agents across heterogeneous environments.
  • Aligning workflows with specific business automation requirements.

Advanced Orchestration Patterns for Multi-Agent Systems

  • Applying supervisory agent patterns.
  • Managing long-running and human-in-the-loop workflows.
  • Evaluating the trade-offs between choreography and orchestration.

Summary and Recommended Next Steps

Requirements

  • A foundational understanding of workflow and automation principles.
  • Practical experience in deploying containerized applications.
  • Familiarity with API-driven system integration.

Target Audience

  • Automation engineers.
  • Business process developers.
  • Teams developing task automation systems that utilize multiple agents.

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