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 Duration 21 hours

Course Outline

Mastra Workflow Architecture and Core Concepts

  • Exploring workflow primitives and underlying orchestration layers.
  • Examining communication models between agents and workflows.
  • Applying design patterns specific to automation-centric systems.

Environment Setup for Workflow Automation

  • Configuring workflow engines and their supporting services.
  • Handling environment variables, secrets, and system configurations.
  • Preparing clusters for efficient workflow execution and agent coordination.

Constructing Multi-Agent Workflows

  • Linking tasks sequentially across multiple agents.
  • Establishing dependencies and defining coordination rules.
  • Managing workflow timeouts and addressing edge cases.

Parallelization and Performance Strategies

  • Architecting workflows to support high concurrency.
  • Distributing workloads effectively among agents in a distributed environment.
  • Implementing parallel execution and fan-out patterns for optimal performance.

Observability and Troubleshooting in Multi-Agent Workflows

  • Tracing workflow execution paths across various systems.
  • Incorporating Grafana dashboards and log analysis for insights.
  • Diagnosing agent interactions and resolving orchestration failures.

Automation Optimization and Reliability Engineering

  • Detecting and addressing bottlenecks in workflow execution.
  • Enhancing system reliability through retries, fallback strategies, and state management.
  • Refining orchestration logic to achieve predictable automation outcomes.

Integration with Enterprise Systems and Data Flows

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

Advanced Orchestration Patterns for Multi-Agent Systems

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

Conclusion and Next Steps

Requirements

  • A solid grasp of core workflow and automation principles.
  • Practical experience in deploying containerized applications.
  • Comfort with API-driven system integration methods.

Intended Audience

  • Automation engineers.
  • Business process developers.
  • Teams developing multi-agent task automation systems.

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