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 Duration 21 hours

Course Outline

Mastra Workflow Architecture and Core Concepts

  • Grasping workflow primitives and orchestration layers.
  • Examining agent-to-workflow communication models.
  • Applying design patterns for automation-centric systems.

Environment Preparation for Workflow Automation

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

Building Multi-Agent Workflows

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

Parallelization and Performance Strategies

  • Structuring workflows to support high concurrency.
  • Distributing workloads evenly across distributed agents.
  • Executing parallel processes and fan-out patterns.

Observability and Troubleshooting Multi-Agent Workflows

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

Automation Optimization and Reliability Engineering

  • Pinpointing bottlenecks within workflow execution.
  • Enhancing reliability through retries, fallback strategies, and state management.
  • Polishing orchestration to ensure predictable automation results.

Integration with Enterprise Systems and Data Flows

  • Linking workflows to APIs, services, and event streams.
  • Coordinating agents across heterogeneous environments.
  • Aligning workflows with business automation needs.

Advanced Orchestration Patterns for Multi-Agent Systems

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

Summary and Next Steps

Requirements

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

Target Audience

  • Automation Engineers.
  • Business Process Developers.
  • Teams developing task automation systems utilizing multiple agents.

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