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.

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Customizing and Deploying Qwen for Enterprise Applications

 14 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at advanced-level AI developers and enterprise architects who wish to customize and deploy Qwen for various enterprise applications.

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

  • Customize Qwen to meet specific enterprise needs.
  • Deploy Qwen in a cloud or on-premise environment.
  • Integrate Qwen with existing enterprise systems and applications.
  • Monitor and optimize the performance of Qwen-based solutions.
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Qwen for Natural Language Processing: Applications and Integration

 14 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at advanced-level NLP specialists, data scientists, and AI researchers who wish to integrate Qwen into their NLP workflows.

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

  • Understand the architecture and features of Qwen.
  • Utilize Qwen for advanced NLP tasks, including text generation, analysis, and transformation.
  • Integrate Qwen into AI applications for processing natural language data.
  • Optimize NLP workflows using Qwen APIs and libraries.
  • Evaluate and fine-tune Qwen models for specific tasks.
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Upcoming Courses

Customizing and Deploying Qwen for Enterprise Applications

2025-09-11 9:30 am
14 hours
Washington, DC - Regus One Franklin Square
$ 2703 (Online)
$ 2703 (Classroom)

Qwen for Natural Language Processing: Applications and Integration

2025-09-25 9:30 am
14 hours
Washington, DC - NW Conference Center
$ 2703 (Online)
$ 2703 (Classroom)

Qwen for Natural Language Processing: Applications and Integration

2025-10-09 9:30 am
14 hours
Washington, DC - Regus One Franklin Square
$ 2703 (Online)
$ 2703 (Classroom)

Customizing and Deploying Qwen for Enterprise Applications

2025-10-23 9:30 am
14 hours
Washington, DC - NW Conference Center
$ 2703 (Online)
$ 2703 (Classroom)

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