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Duration 21 hours
Course Outline
Mastra Workflow Architecture and Core Concepts
- Examining workflow primitives and orchestration layers
- Models for communication between agents and workflows
- Design patterns for automation-centric systems
Environment Setup for Workflow Automation
- Configuring workflow engines and supporting 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
- Addressing workflow timeouts and edge cases
Parallelization and Performance Optimization
- Creating workflows for high concurrency
- Distributing workloads across agents
- Applying parallel execution and fan-out patterns
Observability and Troubleshooting Multi-Agent Workflows
- Tracking workflow execution across systems
- Integrating Grafana dashboards and logging
- Diagnosing agent interactions and orchestration failures
Automation Optimization and Reliability Engineering
- Identifying bottlenecks in workflow execution
- Enhancing reliability via retries, fallbacks, and state management
- Tuning orchestration for predictable 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 business automation needs
Advanced Orchestration Patterns for Multi-Agent Systems
- Supervisory agent patterns
- Long-running and human-in-the-loop workflows
- Evaluating trade-offs between choreography and orchestration
Summary and Next Steps
Requirements
- A solid understanding of workflow or automation concepts
- Experience deploying containerized applications
- Familiarity with API-driven system integration
Audience
- Automation engineers
- Business process developers
- Teams developing task automation systems involving multiple agents