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Duration 21 hours
Course Outline
Mastra Workflow Architecture and Core Concepts
- Exploring workflow primitives and orchestration layers
- Communication models between agents and workflows
- Design patterns for automation-focused systems
Preparing the Environment for Workflow Automation
- Configuring workflow engines and auxiliary 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
- Managing workflow timeouts and edge cases
Parallelization and Performance Strategies
- Creating workflows for high concurrency
- Distributing workloads among agents in a distributed setup
- Implementing parallel execution and fan-out patterns
Observability and Troubleshooting Multi-Agent Workflows
- Tracking workflow execution across various systems
- Integrating Grafana dashboards and logging tools
- Diagnosing agent interactions and orchestration issues
Optimizing Automation and Reliability Engineering
- Pinpointing bottlenecks in workflow execution
- Boosting reliability through retries, fallback strategies, and state management
- Refining orchestration to ensure predictable automation results
Integrating 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
- Trade-offs between choreography and orchestration
Summary and Next Steps
Requirements
- A solid grasp of workflow and automation principles
- Practical experience with deploying containerized applications
- Knowledge of API-driven system integration
Target Audience
- Automation engineers
- Business process developers
- Teams developing multi-agent task automation systems