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 Duration 21 hours

Course Outline

Mastra Workflow Architecture and Core Concepts

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

Environment Setup for Workflow Automation

  • Configuring workflow engines and essential supporting services
  • Managing environment variables, secrets, and system configuration
  • Preparing clusters for efficient workflow execution and agent coordination

Constructing Multi-Agent Workflows

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

Parallelization and Performance Optimization

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

Observability and Troubleshooting in Multi-Agent Environments

  • Tracking workflow execution across various systems
  • Integrating visualization dashboards via Grafana and log analysis
  • Diagnosing agent interactions and resolving orchestration failures

Automation Refinement and Reliability Engineering

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

Enterprise System and Data Flow Integration

  • Connecting workflows to APIs, services, and event streams
  • Coordinating agents across heterogeneous environments
  • Aligning workflow logic with specific business automation needs

Advanced Orchestration Patterns for Multi-Agent Systems

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

Conclusion and Future Directions

Requirements

  • A solid grasp of workflow or automation concepts
  • Practical experience in deploying containerized applications
  • Working 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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