Mastra Ops & Production Engineering: Deploying and Scaling AI Agents Training Course

Mastra serves as a foundational framework enabling robust connectivity between AI agents, application programming interfaces, enterprise software, and external data repositories.

This instructor-led training program, available online or on-site, is designed for intermediate-level engineers responsible for establishing secure, reliable, and scalable integrations between Mastra agents and the broader public and private sector ecosystems.

Upon completion, participants will be equipped to:

• Implement API-driven integrations connecting Mastra agents with external government and commercial services.
• Link enterprise data systems and operational tools to automated agent workflows for improved efficiency.
• Apply rigorous standards for secure data exchange and identity verification in accordance with federal guidelines.
• Architect integration layers that are scalable, maintainable, and optimized for production environments for government operations.

Training Format

• Interactive instructional sessions and guided discussions.
• Practical exercises focused on integration engineering and API development.
• Live laboratory implementations utilizing realistic enterprise scenarios relevant for government contexts.

Course Customization

• Tailored API scenarios, enterprise system mappings, or specialized data-integration workshops may be arranged upon request.

This instructor-led professional development course, delivered either virtually or in-person, targets intermediate-level software developers and engineering teams committed to constructing scalable, transparent AI systems utilizing Mastra for government and public sector operations.

Upon completion of this training, participants will be proficient in the following areas:

• Analyzing Mastra’s architectural framework and its interoperability with Large Language Models (LLMs) and external APIs.
• Designing and executing AI agents and workflows using TypeScript.
• Utilizing Mastra’s observability and memory modules to oversee and enhance agent performance.
• Deploying operational AI applications that leverage Mastra’s framework capabilities.

This instructor-led training in US covers Mastra tools for debugging, evaluating, and ensuring AI agent reliability. Participants will apply structured metrics, implement observability workflows, and design QA strategies to ensure consistent agent performance in complex environments for government use.

Mastra is a framework designed to facilitate complex workflow automation and coordination among multiple AI agents operating within distributed architectures.

This instructor-led live training session, available online or on-site, targets intermediate-level practitioners seeking to design, orchestrate, and manage multi-agent workflows at scale.

Upon completion of this training, participants will acquire the capabilities to:

• Develop intricate workflows leveraging Mastra’s orchestration functionalities.
• Coordinate multiple agents executing parallel or interdependent tasks.
• Deploy monitoring and diagnostic tools for workflow execution oversight.
• Enhance orchestration logic to improve reliability, throughput, and operational efficiency.

Course Format

• Interactive lectures and structured discussions.
• Practical workflow design and automation exercises.
• Real-world implementation within a containerized live-lab environment.

Customization Options for the Course

• Custom automation scenarios, enterprise-specific integrations, or tailored workflow patterns are available upon request for government applications.