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.
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

Federated Learning in IoT and Edge Computing

 14 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning to optimize IoT and edge computing solutions.

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

  • Understand the principles and benefits of Federated Learning in IoT and edge computing.
  • Implement Federated Learning models on IoT devices for decentralized AI processing.
  • Reduce latency and improve real-time decision-making in edge computing environments.
  • Address challenges related to data privacy and network constraints in IoT systems.
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Edge AI for IoT Applications

 14 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at intermediate-level developers, system architects, and industry professionals who wish to leverage Edge AI for enhancing IoT applications with intelligent data processing and analytics capabilities.

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

  • Understand the fundamentals of Edge AI and its application in IoT.
  • Set up and configure Edge AI environments for IoT devices.
  • Develop and deploy AI models on edge devices for IoT applications.
  • Implement real-time data processing and decision-making in IoT systems.
  • Integrate Edge AI with various IoT protocols and platforms.
  • Address ethical considerations and best practices in Edge AI for IoT.
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Digital Transformation with IoT and Edge Computing

 14 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at intermediate-level IT professionals and business managers who wish to understand the potential of IoT and edge computing for enabling efficiency, real-time processing, and innovation in various industries.

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

  • Understand the principles of IoT and edge computing and their role in digital transformation.
  • Identify use cases for IoT and edge computing in manufacturing, logistics, and energy sectors.
  • Differentiate between edge and cloud computing architectures and deployment scenarios.
  • Implement edge computing solutions for predictive maintenance and real-time decision-making.
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Edge Computing

 7 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at product managers and developers who wish to use Edge Computing to decentralize data management for faster performance, leveraging smart devices located on the source network.

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

  • Understand the basic concepts and advantages of Edge Computing.
  • Identify the use cases and examples where Edge Computing can be applied.
  • Design and build Edge Computing solutions for faster data processing and reduced operational costs.
Read more...

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Upcoming Courses

Edge AI for IoT Applications

2025-09-08 9:30 am
14 hours
Washington, DC - Regus One Franklin Square
$ 2703 (Online)
$ 2703 (Classroom)

Edge Computing

2025-09-19 9:30 am
7 hours
Washington, DC - NW Conference Center
$ 1630 (Online)
$ 1630 (Classroom)

Edge Computing

2025-10-03 9:30 am
7 hours
Washington, DC - Regus One Franklin Square
$ 1630 (Online)
$ 1630 (Classroom)

Digital Transformation with IoT and Edge Computing

2025-10-20 9:30 am
14 hours
Washington, DC - NW Conference Center
$ 2703 (Online)
$ 2703 (Classroom)

Digital Transformation with IoT and Edge Computing

2025-11-03 9:30 am
14 hours
Washington, DC - Regus One Franklin Square
$ 2703 (Online)
$ 2703 (Classroom)

Edge AI for IoT Applications

2025-11-17 9:30 am
14 hours
Washington, DC - NW Conference Center
$ 2703 (Online)
$ 2703 (Classroom)

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