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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 focused on automation

Preparing the Environment for Workflow Automation

  • Configuring workflow engines and auxiliary services
  • Handling environment variables, secrets, and configuration settings
  • 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 edge cases

Parallelization and Performance Strategies

  • Architecting workflows for high concurrency
  • Distributing workloads across decentralized agents
  • Executing parallel processes and fan-out patterns

Observability and Troubleshooting Multi-Agent Workflows

  • Tracking workflow execution across different systems
  • Integrating logs and dashboards via Grafana
  • Resolving issues in agent interactions and orchestration failures

Automation Optimization and Reliability Engineering

  • Detecting bottlenecks in 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 organizational automation needs

Advanced Orchestration Patterns for Multi-Agent Systems

  • Supervisory agent patterns
  • Long-duration 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
  • Hands-on experience with deploying containerized applications
  • Proficiency in integrating systems via APIs

Target Audience

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

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