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

Text Summarization and Content Generation with AI (NLG)

 21 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at intermediate-level professionals who wish to gain practical skills in using NLG for automating text summarization and content generation.

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

  • Understand the core principles of NLG for text summarization and content generation.
  • Implement NLG models to summarize large documents and articles.
  • Leverage pre-trained NLG models like GPT for content creation.
  • Apply advanced techniques to fine-tune NLG models for specific content generation tasks.
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AI-Driven NLG for Chatbots and Virtual Assistants

 21 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at advanced-level professionals who wish to master AI-driven NLG techniques for chatbot and virtual assistant applications.

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

  • Understand the core principles of NLG for conversational AI.
  • Leverage deep learning techniques to enhance chatbot dialogue generation.
  • Integrate state-of-the-art NLG models like GPT-3 into chatbot frameworks.
  • Apply contextual AI for improving conversational coherence and fluidity.
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Advanced Techniques in Natural Language Generation (NLG)

 14 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at intermediate-level professionals who wish to enhance their skills in generating high-quality, human-like text using advanced NLG methods.

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

  • Understand advanced techniques for generating natural language text.
  • Implement and fine-tune transformer-based models for NLG.
  • Optimize NLG outputs for fluency, coherence, and relevance.
  • Evaluate the quality of generated text using both automated and human metrics.
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Introduction to Natural Language Generation (NLG)

 14 Hours

This instructor-led, live training in Washington D.C. (online or onsite) is aimed at beginner-level professionals who wish to learn the basics of NLG and its role in AI and content generation.

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

  • Understand the fundamental concepts of Natural Language Generation.
  • Explore the applications of NLG in various industries.
  • Learn basic techniques for generating human-like text using AI.
  • Work with Python libraries and models to generate text.
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Python for Natural Language Generation (NLG)

 21 Hours

In this instructor-led, live training in Washington D.C., participants will learn how to use Python to produce high-quality natural language text by building their own NLG system from scratch. Case studies will also be examined and the relevant concepts will be applied to live lab projects for generating content.

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

  • Use NLG to automatically generate content for various industries, from journalism, to real estate, to weather and sports reporting.
  • Select and organize source content, plan sentences, and prepare a system for automatic generation of original content.
  • Understand the NLG pipeline and apply the right techniques at each stage.
  • Understand the architecture of a Natural Language Generation (NLG) system.
  • Implement the most suitable algorithms and models for analysis and ordering.
  • Pull data from publicly available data sources as well as curated databases to use as material for generated text.
  • Replace manual and laborious writing processes with computer-generated, automated content creation.
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Upcoming Courses

AI-Driven NLG for Chatbots and Virtual Assistants

2025-08-18 9:30 am
21 hours
Washington, DC - NW Conference Center
$ 4054 (Online)
$ 4054 (Classroom)

Introduction to Natural Language Generation (NLG)

2025-09-01 9:30 am
14 hours
Washington, DC - Regus One Franklin Square
$ 2703 (Online)
$ 2703 (Classroom)

Text Summarization and Content Generation with AI (NLG)

2025-09-15 9:30 am
21 hours
Washington, DC - NW Conference Center
$ 4054 (Online)
$ 4054 (Classroom)

AI-Driven NLG for Chatbots and Virtual Assistants

2025-09-29 9:30 am
21 hours
Washington, DC - Regus One Franklin Square
$ 4054 (Online)
$ 4054 (Classroom)

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