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 Duration 21 hours

Course Outline

Mastra Workflow Architecture and Core Concepts

  • Exploring workflow primitives and orchestration layers
  • Models for agent-to-workflow communication
  • Design patterns for automation-focused systems

Preparing the Environment for Workflow Automation

  • Configuring workflow engines and auxiliary services
  • Administering environment variables, secrets, and configurations
  • Optimizing clusters for workflow execution and agent coordination

Constructing Multi-Agent Workflows

  • Linking tasks across various agents
  • Establishing dependencies and coordination rules
  • Managing workflow timeouts and handling edge cases

Parallelization and Performance Strategies

  • Designing workflows to support high concurrency
  • Distributing workloads effectively across decentralized agents
  • Applying parallel execution and fan-out patterns

Observability and Troubleshooting for Multi-Agent Workflows

  • Tracing workflow execution paths across systems
  • Integrating Grafana dashboards and log analysis
  • Diagnosing agent interactions and resolving orchestration failures

Optimizing Automation and Reliability Engineering

  • Pinpointing bottlenecks within workflow execution
  • Enhancing reliability through retries, fallback strategies, and state management
  • Refining orchestration to achieve consistent automation results

Integration with Enterprise Systems and Data Flows

  • Connecting workflows to APIs, services, and event streams
  • Coordinating agents across diverse environments
  • Aligning workflows with specific 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 solid grasp of workflow and automation principles
  • Practical experience deploying containerized applications
  • Knowledge of API-based system integration

Target Audience

  • Automation engineers
  • Business process developers
  • Teams developing task automation systems utilizing multiple agents

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