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 Duration 21 hours

Course Outline

Mastra Workflow Architecture and Core Concepts

  • Exploring workflow primitives and orchestration layers
  • Models for communication between agents and workflows
  • Design patterns for systems centered on automation

Preparing the Environment for Workflow Automation

  • Configuring workflow engines and auxiliary services
  • Managing environment variables, secrets, and configuration settings
  • Preparing 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 Optimization

  • Architecting workflows for high concurrency
  • Distributing workloads across decentralized 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 log analysis
  • Diagnosing agent interactions and orchestration failures

Automation Optimization and Reliability Engineering

  • Pinpointing bottlenecks in workflow execution
  • Enhancing reliability through retries, fallback strategies, and state management
  • Polishing orchestration for predictable automation results

Enterprise System and Data Flow Integration

  • Connecting workflows to APIs, services, and event streams
  • Coordinating agents across diverse environments
  • Aligning workflows with business automation needs

Advanced Orchestration Patterns for Multi-Agent Systems

  • Supervisory agent patterns
  • Long-running and human-in-the-loop workflows
  • Trade-offs between choreography and orchestration

Summary and Next Steps

Requirements

  • A solid grasp of workflow and automation principles
  • Practical experience in deploying containerized applications
  • Proficiency in API-driven system integration

Target Audience

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

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