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 - Capitol Hill

Washington, DC - Capitol Hill

300 New Jersey Avenue NW, Washington, United States, 20001

This venue is centrally located in the Capitol Hill district of Washington, D.C., with direct car access via Constitution Avenue and I‑395. Paid garage parking is available in the building and nearby. From Ronald Reagan Washington National Airport (DCA), located about 5 miles away, it takes 15–20 minutes by taxi or rideshare via I‑395 North. Union Station is within walking distance—offering access to the Red Line Metro, Amtrak, MARC, and VRE commuter rail. Several Metrobus routes and circulator buses also serve New Jersey Avenue and adjacent streets, making the venue highly accessible by public transit.
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

Audio Classification and Event Detection with ML

 21 Hours

Audio Classification and Event Detection with ML is a technical course focused on building machine learning models to classify audio and detect sound events in real-world environments.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level 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.

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

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

Format of the Course

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

Course Customization Options

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

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 AI 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.

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

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

Format of the Course

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

Course Customization Options

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

Building Intelligent Voice Assistants with AI

 21 Hours

Voice assistant platforms like Amazon Alexa, Google Dialogflow, and Rasa offer powerful frameworks for developing intelligent, voice-driven applications for both public and internal use cases.

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

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

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

Format of the Course

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

Course Customization Options

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

Voice Cloning and Speech Generation with AI

 14 Hours

Voice cloning and speech generation with AI allows users to replicate human voices or generate synthetic speech using deep learning models and speech synthesis techniques.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to create, evaluate, and apply voice cloning and TTS systems in real-world projects.

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

  • Understand the core concepts behind neural speech synthesis and voice cloning.
  • Evaluate commercial and open-source TTS platforms.
  • Clone voices from sample recordings using ethical and legal guidelines.
  • Integrate synthetic voices into applications, IVRs, or media pipelines.

Format of the Course

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

Course Customization Options

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

Speech Recognition and Transcription Using AI

 14 Hours

Speech recognition and transcription using 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.

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

  • Understand how modern speech recognition models are trained and deployed.
  • Evaluate open-source and commercial APIs for speech-to-text transcription.
  • Handle multilingual and domain-specific transcription challenges.
  • Build simple transcription workflows for different audio sources.

Format of the Course

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

Course Customization Options

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

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.

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.
  • Evaluate AI tools and services suitable for enterprise audio applications.

Format of the Course

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

Course Customization Options

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

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Upcoming Courses

AI-Powered Audio Enhancement and Noise Reduction

2025-09-08 9:30 am
14 hours
Washington, DC - Capitol Hill
$ 2703 (Online)
$ 2703 (Classroom)

AI-Powered Audio Enhancement and Noise Reduction

2025-09-22 9:30 am
14 hours
Washington, DC - Capitol Hill
$ 2703 (Online)
$ 2703 (Classroom)

Voice Cloning and Speech Generation with AI

2025-10-06 9:30 am
14 hours
Washington, DC - Capitol Hill
$ 2703 (Online)
$ 2703 (Classroom)

Audio Classification and Event Detection with ML

2025-10-20 9:30 am
21 hours
Washington, DC - Capitol Hill
$ 4054 (Online)
$ 4054 (Classroom)

Introduction to Audio AI

2025-11-03 9:30 am
14 hours
Washington, DC - Capitol Hill
$ 2703 (Online)
$ 2703 (Classroom)

Building Intelligent Voice Assistants with AI

2025-11-17 9:30 am
21 hours
Washington, DC - Capitol Hill
$ 4054 (Online)
$ 4054 (Classroom)

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