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 Duration 21 hours

Course Outline

Mastra Workflow Architecture and Core Concepts

  • Exploring workflow primitives and orchestration layers
  • Communication models between agents and workflows
  • Design patterns for automation-focused systems

Preparing the Environment for Workflow Automation

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

Developing Multi-Agent Workflows

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

Parallelization and Performance Strategies

  • Creating workflows for high concurrency
  • Distributing workloads among agents in a distributed setup
  • Implementing parallel execution and fan-out patterns

Observability and Troubleshooting Multi-Agent Workflows

  • Tracking workflow execution across various systems
  • Integrating Grafana dashboards and logging tools
  • Diagnosing agent interactions and orchestration issues

Optimizing Automation and Reliability Engineering

  • Pinpointing bottlenecks in workflow execution
  • Boosting reliability through retries, fallback strategies, and state management
  • Refining orchestration to ensure predictable automation results

Integrating with Enterprise Systems and Data Flows

  • 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 with deploying containerized applications
  • Knowledge of API-driven system integration

Target Audience

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

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