Get in Touch
 Duration 21 hours

Course Outline

Mastra Workflow Architecture and Fundamental Concepts

  • Exploring workflow primitives and orchestration layers.
  • Models for communication between agents and workflows.
  • Establishing design patterns for automation-focused systems.

Setting Up the Environment for Workflow Automation

  • Configuring workflow engines and essential supporting services.
  • Managing environment variables, secrets, and system configurations.
  • Preparing clusters for efficient workflow execution and agent coordination.

Constructing Multi-Agent Workflows

  • Linking tasks across multiple agents.
  • Defining dependencies and coordination rules.
  • Managing workflow timeouts and addressing edge cases.

Strategies for Parallelization and Performance

  • Creating workflows optimized for high concurrency.
  • Distributing workloads across decentralized agents.
  • Applying parallel execution and fan-out patterns.

Observability and Troubleshooting for Multi-Agent Workflows

  • Tracking workflow execution across various systems.
  • Integrating Grafana dashboards and log analytics.
  • Diagnosing agent interactions and resolving orchestration failures.

Optimizing Automation and Reliability Engineering

  • Detecting bottlenecks in workflow processing.
  • Enhancing reliability through retries, fallback strategies, and state management.
  • Refining orchestration to achieve consistent and predictable automation results.

Integration with Enterprise Systems and Data Pipelines

  • Linking workflows to APIs, services, and event streams.
  • Coordinating agents across diverse and heterogeneous environments.
  • Aligning workflows with specific business automation needs.

Advanced Orchestration Patterns for Multi-Agent Systems

  • Implementing supervisory agent patterns.
  • Managing long-running and human-in-the-loop workflows.
  • Evaluating the trade-offs between choreography and orchestration.

Conclusion and Path Forward

Requirements

  • A solid grasp of workflow and automation principles.
  • Hands-on experience with deploying containerized applications.
  • Proficiency in API-driven system integration.

Target Audience

  • Automation engineers.
  • Business process developers.
  • Teams developing task automation systems utilizing multiple agents.

Number of participants


Price per participant

Upcoming Courses

Related Categories