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Course Outline

Mastra Workflow Architecture and Core Concepts <\/p>

  • Understanding workflow primitives and orchestration layers <\/li>
  • Agent-to-workflow communication models <\/li>
  • Design patterns for automation-centric systems <\/li> <\/ul>

    Environment Preparation for Workflow Automation <\/p>

    • Setting up workflow engines and supporting services <\/li>
    • Managing environment variables, secrets, and configuration <\/li>
    • Preparing clusters for workflow execution and agent coordination <\/li> <\/ul>

      Building Multi-Agent Workflows <\/p>

      • Chaining tasks across multiple agents <\/li>
      • Defining dependencies and coordination rules <\/li>
      • Handling workflow timeouts and edge cases <\/li> <\/ul>

        Parallelization and Performance Strategies <\/p>

        • Designing workflows for high concurrency <\/li>
        • Balancing workloads across distributed agents <\/li>
        • Implementing parallel execution and fan-out patterns <\/li> <\/ul>

          Observability and Troubleshooting Multi-Agent Workflows <\/p>

          • Tracing workflow execution across systems <\/li>
          • Integrating dashboards using Grafana and logs <\/li>
          • Debugging agent interactions and orchestration failures <\/li> <\/ul>

            Automation Optimization and Reliability Engineering <\/p>

            • Identifying bottlenecks in workflow execution <\/li>
            • Improving reliability with retries, fallback strategies, and state management <\/li>
            • Refining orchestration for predictable automation outcomes <\/li> <\/ul>

              Integration with Enterprise Systems and Data Flows <\/p>

              • Connecting workflows to APIs, services, and event streams <\/li>
              • Coordinating agents across heterogeneous environments <\/li>
              • Aligning workflows with business automation requirements <\/li> <\/ul>

                Advanced Orchestration Patterns for Multi-Agent Systems <\/p>

                • Supervisory agent patterns <\/li>
                • Long-running and human-in-the-loop workflows <\/li>
                • Choreography versus orchestration trade-offs <\/li> <\/ul>

                  Summary and Next Steps <\/p>

Requirements

  • A foundational understanding of workflow or automation concepts <\/li>
  • Experience with containerized application deployment <\/li>
  • Familiarity with API-driven system integration <\/li> <\/ul>

    Target Audience <\/p>

    • Automation engineers <\/li>
    • Business process developers <\/li>
    • Teams developing task automation systems utilizing multiple agents <\/li> <\/ul>
 21 Hours

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Provisional Upcoming Courses (Require 5+ participants)

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