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

Ethics and Data Privacy in Audio AI Applications

 7 Hours
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Audio Classification and Event Detection with ML

 21 Hours

Audio Classification and Event Detection with Machine Learning is a technical course designed to build machine learning models that classify audio and detect sound events in real-world environments.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced data professionals who wish to apply machine learning techniques to analyze and classify audio data for use in public safety, manufacturing, smart cities, and multimedia analytics for government.

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

  • Understand how sound events are modeled and categorized using machine learning.
  • Preprocess audio data using feature extraction techniques such as MFCC and spectrograms.
  • Build, train, and evaluate models for audio classification and event detection.
  • Deploy machine learning models for real-time or batch-based audio processing in enterprise or embedded settings.

Format of the Course

  • Interactive lecture and discussion.
  • Extensive exercises and practice sessions.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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AI-Powered Audio Enhancement and Noise Reduction

 14 Hours

AI-Powered Audio Enhancement and Noise Reduction is a practical course designed to introduce participants to modern artificial intelligence tools used to clean and improve audio in real-time or post-production settings.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to apply AI tools to remove background noise, enhance voice clarity, and improve audio quality across conferencing, broadcast, and surveillance use cases for government.

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

  • Understand the fundamentals of audio signal processing and common sources of noise.
  • Utilize AI-based tools such as Krisp, Adobe Enhance, and RNNoise for real-world audio enhancement.
  • Integrate noise reduction into conferencing, recording, or live broadcast workflows for government.
  • Evaluate and select appropriate tools and models based on quality, latency, and deployment needs.

Format of the Course

  • Interactive lecture and discussion.
  • Extensive exercises and practice sessions.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Building Intelligent Voice Assistants with AI

 21 Hours

Voice assistant platforms such as Amazon Alexa, Google Dialogflow, and Rasa provide robust frameworks for developing intelligent, voice-driven applications for both public and internal use cases.

This instructor-led, live training (online or onsite) is designed for intermediate-level developers and design teams who wish to build, train, and deploy conversational voice interfaces that automate workflows and support users naturally through speech.

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

  • Design conversational flows and interaction models for voice user interfaces.
  • Develop voice assistants using tools such as Dialogflow, Alexa, and open-source frameworks like Rasa.
  • Integrate voice assistants with back-end APIs, databases, and third-party services.
  • Deploy voice assistants to smart devices or web-based voice applications.

Format of the Course

  • Interactive lecture and discussion tailored for government.
  • Extensive exercises and practice sessions.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for government, please contact us to arrange.
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Voice Cloning and Speech Generation with AI

 14 Hours

Voice cloning and speech generation using artificial intelligence enable users to replicate human voices or generate synthetic speech through advanced deep learning models and speech synthesis techniques.

This instructor-led, live training (conducted online or on-site) is designed for intermediate-level professionals who aim to develop, assess, and implement voice cloning and text-to-speech (TTS) systems in practical projects for government applications.

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

  • Comprehend the fundamental principles underlying neural speech synthesis and voice cloning.
  • Evaluate both commercial and open-source TTS platforms for government use.
  • Clone voices from sample recordings in accordance with ethical and legal guidelines.
  • Integrate synthetic voices into applications, interactive voice response (IVR) systems, or media pipelines for government initiatives.

Format of the Course

  • Interactive lecture and discussion sessions.
  • Extensive exercises and practical activities.
  • Hands-on implementation in a live-lab environment for government.

Course Customization Options

  • To request a customized training program tailored to specific needs, please contact us to arrange.
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Speech Recognition and Transcription Using AI

 14 Hours

Speech recognition and transcription using artificial intelligence (AI) involves converting spoken language into written text through machine learning models and natural language processing systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to implement, evaluate, and optimize AI-powered speech-to-text solutions for real-world use cases in government operations.

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

  • Understand how modern speech recognition models are trained and deployed for government applications.
  • Evaluate open-source and commercial APIs for speech-to-text transcription suitable for government use.
  • Handle multilingual and domain-specific transcription challenges relevant to public sector workflows.
  • Build simple transcription workflows for different audio sources, aligning with government standards.

Format of the Course

  • Interactive lecture and discussion focused on government needs.
  • Extensive exercises and practice sessions tailored for government professionals.
  • Hands-on implementation in a live-lab environment, ensuring alignment with public sector requirements.

Course Customization Options

  • To request a customized training for this course, tailored specifically for government agencies, please contact us to arrange.
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Introduction to Audio AI

 14 Hours

Audio AI refers to artificial intelligence technologies that interpret, analyze, generate, or interact with audio signals, including human speech, environmental sounds, and music.

This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to understand how AI is applied in the audio domain for business, communication, automation, and innovation purposes for government.

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

  • Understand what Audio AI is and how it is used in real-world settings.
  • Identify different categories of audio AI tools (e.g., transcription, classification, generation).
  • Explore business cases in customer service, security, compliance, and media for government applications.
  • Evaluate AI tools and services suitable for enterprise audio applications within the public sector.

Format of the Course

  • Interactive lecture and discussion.
  • Extensive exercises and practice sessions.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact Govtra to arrange.
Read more...

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Upcoming Courses

Introduction to Audio AI

2026-01-22 09:30
14 hours
Washington, DC - Paramount Building
$ 2703 (Online)
$ 2903 (Classroom)

Ethics and Data Privacy in Audio AI Applications

2026-02-05 09:30
7 hours
Washington, DC - Regus One Franklin Square
$ 1630 (Online)
$ 1630 (Classroom)

AI-Powered Audio Enhancement and Noise Reduction

2026-02-19 09:30
14 hours
Washington, DC - NW Conference Center
$ 2703 (Online)
$ 2703 (Classroom)

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