Mastra Training in Albuquerque

Mastra is a framework that provides structured tools for evaluating, debugging, and ensuring the reliability of AI agents operating across complex workflows for government.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to rigorously test agent behavior, enhance reliability, and implement measurable evaluation processes.

At the end of this training, participants will confidently:

• Apply debugging techniques to identify and correct issues in agent behavior.
• Evaluate agents using structured metrics, benchmarks, and quality scores.
• Implement tooling and workflows that monitor reliability, drift, and hallucinations.
• Design QA strategies to ensure consistent and predictable agent performance.

Format of the Course

• Interactive lecture and discussion.
• Hands-on debugging and evaluation exercises.
• Live-lab analysis of agent behaviors using observability tools.

Course Customization Options

• Customized reliability testing scenarios and industry-specific QA methods can be arranged upon request.

Mastra is a framework designed to support deep integration between artificial intelligence (AI) agents, application programming interfaces (APIs), enterprise applications, and external data systems.

This instructor-led, live training (available online or onsite) is targeted at intermediate-level engineers who aim to develop reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem for government use.

Upon completion of this training, participants will be equipped to:

• Implement API-driven integrations between Mastra agents and external services.
• Connect enterprise data systems and tools to automated agent workflows.
• Apply best practices for secure data exchange and authentication.
• Design integration layers that are scalable, maintainable, and production-ready.

Format of the Course

• Interactive lectures and discussions.
• Hands-on integration engineering and API exercises.
• Live-lab implementation using real-world enterprise scenarios for government.

Course Customization Options

• Custom API scenarios, enterprise system mappings, or data-integration workshops are available upon request.

Mastra is a framework that enables sophisticated workflow automation and coordination across multiple AI agents operating within distributed systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who want to design, orchestrate, and operate multi-agent workflows at scale for government.

By completing this training, participants will gain the skills to:

• Design complex workflows using Mastra’s orchestration capabilities.
• Coordinate multiple agents performing parallel or dependent tasks.
• Implement monitoring and debugging tools for workflow execution.
• Optimize orchestration logic for reliability, throughput, and automation efficiency.

Format of the Course

• Interactive lecture and discussion.
• Hands-on workflow design and automation exercises.
• Practical implementation in a containerized live-lab environment.

Course Customization Options

• Customized automation scenarios, enterprise integrations, or workflow patterns can be provided upon request for government-specific needs.

Mastra is an operational framework designed to streamline the deployment, scaling, and lifecycle management of AI agents in production environments for government.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level technical professionals who need to operationalize AI agents reliably and efficiently across production systems for government.

Upon completion of this training, attendees will be equipped to:

• Deploy Mastra-based AI agents into controlled, production-grade environments for government.
• Scale agents horizontally and vertically using platform-native primitives for government.
• Implement observability pipelines to track agent behavior and performance for government.
• Optimize runtime configurations to reduce latency, costs, and operational risks for government.

Format of the Course

• Interactive lecture and discussion for government.
• Hands-on exercises focused on real deployment scenarios for government.
• Live-lab implementation using containerized and orchestrated environments for government.

Course Customization Options

• Customization of topics, hands-on labs, or industry-specific scenarios is available upon request for government.

This instructor-led, live training (online or onsite) is aimed at intermediate-level software developers and engineering teams who wish to build scalable, observable AI systems using Mastra for government.

By the end of this training, participants will be able to:

• Understand Mastra’s architecture and how it integrates with language models and external APIs.
• Design and implement AI agents and workflows using TypeScript for government applications.
• Utilize Mastra’s observability and memory tools to monitor and enhance agent performance in public sector environments.
• Deploy production-ready AI applications leveraging Mastra’s framework features, ensuring alignment with public sector workflows and governance.