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 Duration 21 hours

Course Outline

Mastra Workflow Architecture and Foundational Concepts

  • Exploring workflow primitives and the orchestration layer
  • Models for communication between agents and workflows
  • Design patterns optimized for automation-centric systems

Preparing the Environment for Workflow Automation

  • Configuring workflow engines and auxiliary services
  • Managing environment variables, secrets, and configuration files
  • Preparing clusters for workflow execution and agent coordination

Constructing Multi-Agent Workflows

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

Parallelization and Performance Optimization

  • Creating workflows designed for high concurrency
  • Balancing workloads across distributed agents
  • Implementing parallel execution and fan-out strategies

Observability and Troubleshooting for Multi-Agent Workflows

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

Automation Optimization and Reliability Engineering

  • Identifying performance bottlenecks in workflow execution
  • Enhancing reliability through retries, fallback mechanisms, and state management
  • Refining orchestration to ensure predictable automation results

Integration with Enterprise Systems and Data Streams

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

Advanced Orchestration Patterns for Multi-Agent Systems

  • Supervisory agent architectural patterns
  • Managing long-running processes and human-in-the-loop workflows
  • Evaluating the trade-offs between choreography and orchestration

Summary and Next Steps

Requirements

  • A solid grasp of workflow and automation principles
  • Proficiency in deploying containerized applications
  • Knowledge of API-based system integration

Target Audience

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

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