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Duration 21 hours
Course Outline
Mastra Workflow Architecture and Core Concepts
- Grasping workflow primitives and orchestration layers.
- Examining agent-to-workflow communication models.
- Applying design patterns for automation-centric systems.
Environment Preparation for Workflow Automation
- Configuring workflow engines and associated supporting services.
- Managing environment variables, secrets, and configuration settings.
- Preparing clusters for workflow execution and agent coordination.
Building Multi-Agent Workflows
- Linking tasks across various agents.
- Establishing dependencies and coordination rules.
- Addressing workflow timeouts and exceptional edge cases.
Parallelization and Performance Strategies
- Structuring workflows to support high concurrency.
- Distributing workloads evenly across distributed agents.
- Executing parallel processes and fan-out patterns.
Observability and Troubleshooting Multi-Agent Workflows
- Tracing workflow execution across different systems.
- Incorporating dashboards via Grafana and analyzing logs.
- Debugging agent interactions and resolving orchestration failures.
Automation Optimization and Reliability Engineering
- Pinpointing bottlenecks within workflow execution.
- Enhancing reliability through retries, fallback strategies, and state management.
- Polishing orchestration to ensure predictable automation results.
Integration with Enterprise Systems and Data Flows
- Linking workflows to APIs, services, and event streams.
- Coordinating agents across heterogeneous environments.
- Aligning workflows with business automation needs.
Advanced Orchestration Patterns for Multi-Agent Systems
- Implementing supervisory agent patterns.
- Managing long-running and human-in-the-loop workflows.
- Evaluating trade-offs between choreography and orchestration.
Summary and Next Steps
Requirements
- A foundational understanding of workflow or automation principles.
- Practical experience with deploying containerized applications.
- Knowledge of API-driven system integration.
Target Audience
- Automation Engineers.
- Business Process Developers.
- Teams developing task automation systems utilizing multiple agents.