DC, Washington - 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 D.C, 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

Edge AI with TensorFlow Lite

 14 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at intermediate-level developers, data scientists, and AI practitioners who wish to leverage TensorFlow Lite for Edge AI applications.

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

  • Understand the fundamentals of TensorFlow Lite and its role in Edge AI.
  • Develop and optimize AI models using TensorFlow Lite.
  • Deploy TensorFlow Lite models on various edge devices.
  • Utilize tools and techniques for model conversion and optimization.
  • Implement practical Edge AI applications using TensorFlow Lite.
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Tensorflow Lite for Microcontrollers

 21 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at engineers who wish to write, load and run machine learning models on very small embedded devices.

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

  • Install TensorFlow Lite.
  • Load machine learning models onto an embedded device to enable it to detect speech, classify images, etc.
  • Add AI to hardware devices without relying on network connectivity.
Read more...

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Upcoming Courses

Tensorflow Lite for Microcontrollers

2025-07-14 9:30 am
21 hours
Washington, DC - Regus One Franklin Square
$ 4054 (Online)
$ 4054 (Classroom)

Edge AI with TensorFlow Lite

2025-07-28 9:30 am
14 hours
DC, Washington - NW Conference Center
$ 2703 (Online)
$ 2703 (Classroom)

Tensorflow Lite for Microcontrollers

2025-08-11 9:30 am
21 hours
Washington, DC - Regus One Franklin Square
$ 4054 (Online)
$ 4054 (Classroom)

Tensorflow Lite for Microcontrollers

2025-08-25 9:30 am
21 hours
DC, Washington - NW Conference Center
$ 4054 (Online)
$ 4054 (Classroom)

Edge AI with TensorFlow Lite

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

Edge AI with TensorFlow Lite

2025-09-22 9:30 am
14 hours
DC, Washington - NW Conference Center
$ 2703 (Online)
$ 2703 (Classroom)

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