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Duration 21 hours
Course Outline
Mastra Workflow Architecture and Core Concepts
- Analyzing workflow primitives and orchestration layers
- Exploring agent-to-workflow communication models
- Applying 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
Constructing Multi-Agent Workflows
- Chaining tasks across multiple agents
- Establishing dependencies and coordination rules
- Managing workflow timeouts and edge cases
Parallelization and Performance Strategies
- Designing workflows optimized for high concurrency
- Balancing workloads across distributed agents
- Implementing parallel execution and fan-out patterns
Observability and Troubleshooting Multi-Agent Workflows
- Tracing workflow execution across different systems
- Integrating Grafana dashboards and log analysis
- Debugging agent interactions and orchestration failures
Automation Optimization and Reliability Engineering
- Identifying bottlenecks in workflow execution
- Enhancing reliability through retries, fallback strategies, and state management
- Refining orchestration for predictable automation outcomes
Integration with Enterprise Systems and Data Flows
- Connecting workflows to APIs, services, and event streams
- Coordinating agents across heterogeneous environments
- Aligning workflows with business automation requirements
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 foundational grasp of workflow and automation concepts
- Practical experience in deploying containerized applications
- Proficiency in API-driven system integration
Target Audience
- Automation engineers
- Business process developers
- Teams developing multi-agent task automation systems