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Duration 21 hours
Course Outline
Mastra Workflow Architecture and Core Concepts
- Exploring workflow primitives and orchestration layers
- Examining agent-to-workflow communication models
- Applying design patterns for automation-centric systems
Environment Setup for Workflow Automation
- Configuring workflow engines and essential supporting services
- Managing environment variables, secrets, and system configuration
- Preparing clusters for efficient workflow execution and agent coordination
Constructing Multi-Agent Workflows
- Linking tasks across multiple agents
- Establishing dependencies and coordination rules
- Managing workflow timeouts and handling edge cases
Parallelization and Performance Optimization
- Structuring workflows for high concurrency
- Distributing workloads evenly across distributed agents
- Executing parallel processes and fan-out patterns
Observability and Troubleshooting in Multi-Agent Environments
- Tracking workflow execution across various systems
- Integrating visualization dashboards via Grafana and log analysis
- Diagnosing agent interactions and resolving orchestration failures
Automation Refinement and Reliability Engineering
- Pinpointing bottlenecks in workflow execution
- Enhancing reliability through retries, fallback strategies, and state management
- Optimizing orchestration for consistent and predictable automation results
Enterprise System and Data Flow Integration
- Connecting workflows to APIs, services, and event streams
- Coordinating agents across heterogeneous environments
- Aligning workflow logic with specific business automation needs
Advanced Orchestration Patterns for Multi-Agent Systems
- Implementing supervisory agent patterns
- Designing long-running and human-in-the-loop workflows
- Evaluating trade-offs between choreography and orchestration
Conclusion and Future Directions
Requirements
- A solid grasp of workflow or automation concepts
- Practical experience in deploying containerized applications
- Working knowledge of API-driven system integration
Target Audience
- Automation engineers
- Business process developers
- Teams developing task automation systems utilizing multiple agents