Austin, TX – Regus at Dobie Center

2021 Guadalupe Street, Suite 260, Austin, United States, 78705

The venue is located in the vibrant West Campus neighborhood near the University of Texas at the Dobie Center, easily reachable by car via I‑35 or I‑35 Frontage Road and Loop 1, with on-site and street parking nearby. From Austin–Bergstrom International Airport (AUS), about 11 miles southeast, a taxi or rideshare takes around 20–25 minutes via TX‑71 West and I‑35 North. Public transit users can take Capital Metro routes to the University of Texas/Dobie Mall stop directly in front of the building, placing it within a short walk for attendees without cars.

Austin, TX - Regus - Littlefield Congress

106 E 6th St, Austin, United States, 78701

The venue is conveniently situated near I‑35 and US‑183, making it easily accessible by car, with both public and garage parking options—such as the Littlefield Garage at 508 Brazos—located within walking distance. For those using public transportation, the venue is just a short walk from the Downtown Station (CapMetro) and is served by several bus routes. Travelers arriving by air will find that Austin-Bergstrom International Airport is approximately 8 miles away, providing straightforward access to and from 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
Austin, TX – Regus at Dobie Center
$ 2703 (Online)
$ 2703 (Classroom)

AI-Powered Audio Enhancement and Noise Reduction

2025-09-22 9:30 am
14 hours
Austin, TX - Regus - Littlefield Congress
$ 2703 (Online)
$ 2703 (Classroom)

Voice Cloning and Speech Generation with AI

2025-10-06 9:30 am
14 hours
Austin, TX – Regus at Dobie Center
$ 2703 (Online)
$ 2703 (Classroom)

Audio Classification and Event Detection with ML

2025-10-20 9:30 am
21 hours
Austin, TX - Regus - Littlefield Congress
$ 4054 (Online)
$ 4054 (Classroom)

Introduction to Audio AI

2025-11-03 9:30 am
14 hours
Austin, TX – Regus at Dobie Center
$ 2703 (Online)
$ 2703 (Classroom)

Building Intelligent Voice Assistants with AI

2025-11-17 9:30 am
21 hours
Austin, TX - Regus - Littlefield Congress
$ 4054 (Online)
$ 4054 (Classroom)

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