Washington, DC - NW Conference Center

20 F St NW, Washington, United States, 20001

The venue is situated in the Capitol Hill area on F Street NW, with easy driving access via Massachusetts Avenue and I-395; paid parking is available on-site and in nearby garages. From Ronald Reagan Washington National Airport (DCA), about 5 miles away, a taxi or rideshare via I-395 North typically takes 15–20 minutes. From Dulles International Airport (IAD), approximately 26 miles away, the trip via the Dulles Access Road and I-66/I-395 takes roughly 35–45 minutes. Public transit is extremely convenient with Union Station Metro just one block away (Red Line) and multiple Metrobus routes along F, H, and G Streets NW.

Washington, DC - Paramount Building

1775 I St NW, Washington, United States, 20006

The venue is in the heart of downtown DC in the Paramount Building on I Street NW, accessible via I-395, US-1, or via Pennsylvania Avenue. Guests can park in nearby public garages including the Colonial Parking garage adjacent to the building. From Ronald Reagan Washington National Airport (DCA), it’s a short 10–15 minute drive via George Washington Memorial Parkway and Maine Avenue SW. Public transit is excellent: the building is a 3-minute walk from Farragut West Metro station (Blue, Orange, Silver lines), and several Metrobus lines travel along I, K, and 17th Streets, making it highly accessible without a car.
NobleProg Training Place, City Washington, DC - Regus One Franklin Square

Washington, DC - Regus One Franklin Square

1300 I Street NW, Suite 400E, Washington, United States, 20005

The venue sits prominently at One Franklin Square, in downtown Washington, DC, easily reachable by car via Massachusetts Avenue or I‑395 with paid garage parking available in the Franklin Square complex. From Ronald Reagan Washington National Airport (DCA), around 5 miles away, taxi or rideshare via I‑395 typically takes 15–20 minutes. From Dulles International Airport (IAD), approximately 26 miles away, the journey via the Dulles Access Road and I‑66/I‑395 takes about 35–45 minutes. For public transit, McPherson Square Metro Station (Orange, Silver, and Blue lines) is a short two-block walk, and multiple Metrobus routes run along I Street NW, providing convenient access to the venue.

Explore Our Courses

Mastra Debugging, Evaluation & Quality Assurance for AI Agents

 21 Hours

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

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

At the end of this training, participants will confidently:

  • Apply debugging techniques to identify and correct agent behavior issues.
  • Evaluate agents using structured metrics, benchmarks, and quality scores.
  • Implement tooling and workflows that track reliability, drift, and hallucinations.
  • Design QA strategies that 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.
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Advanced Mastra Integrations: APIs, Tools, Enterprise Data & External Systems

 21 Hours

Mastra is a framework that supports deep integration between AI agents, APIs, enterprise applications, and external data systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers who wish to build reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem.

Once this training is completed, participants will be prepared to:

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

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on integration engineering and API exercises.
  • Live-lab implementation using real-world enterprise scenarios.

Course Customization Options

  • Custom API scenarios, enterprise system mappings, or data-integration workshops are available upon request.
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Mastra Workflow Automation & Multi-Agent Orchestration

 21 Hours

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.

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.
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Mastra Ops & Production Engineering: Deploying and Scaling AI Agents

 21 Hours

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

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.

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

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

Format of the Course

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

Course Customization Options

  • Customization of topics, hands-on labs, or industry-specific scenarios is available upon request.
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AI Agent Development with Mastra

 14 Hours

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.

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

  • Understand Mastra’s architecture and how it integrates with LLMs and external APIs.
  • Design and implement AI agents and workflows using TypeScript.
  • Use Mastra’s observability and memory tools to monitor and improve agent performance.
  • Deploy production-ready AI applications leveraging Mastra’s framework features.
Read more...

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Upcoming Courses

Mastra Debugging, Evaluation & Quality Assurance for AI Agents

2026-01-05 9:30 am
21 hours
Washington, DC - Paramount Building
$ 4054 (Online)
$ 4354 (Classroom)

Mastra Workflow Automation & Multi-Agent Orchestration

2026-01-19 9:30 am
21 hours
Washington, DC - Regus One Franklin Square
$ 4054 (Online)
$ 4054 (Classroom)

Mastra Ops & Production Engineering: Deploying and Scaling AI Agents

2026-02-02 9:30 am
21 hours
Washington, DC - NW Conference Center
$ 4054 (Online)
$ 4054 (Classroom)

Advanced Mastra Integrations: APIs, Tools, Enterprise Data & External Systems

2026-02-16 9:30 am
21 hours
Washington, DC - Paramount Building
$ 4054 (Online)
$ 4354 (Classroom)

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