Honolulu, HI - Waterfront

500 Ala Moana Boulevard, Suite 7400, Honolulu, United States, 96813

The venue is located on Ala Moana Boulevard at the vibrant Waterfront Plaza in the Kaka‘ako district, easily reachable by car via H-1 with paid parking on-site and nearby covered garages. From Daniel K. Inouye International Airport (HNL), about 6 miles away, taxis or rideshares typically take 12–15 minutes via Nimitz Highway and Ala Moana Boulevard. For public transit, TheBus routes and the Ala Moana Center bus stop are a short walk, and the venue is within 15 minutes of key hubs like Waikiki and downtown Honolulu—perfect for attendees traveling without a car.

Kapolei, HI - Kalaeloa Professional Center

91-1010 Saratoga Ave, Kapolei, United States, 96707

The venue is located in a secure garden‑style office park at 91‑1010 Shangrila Street in Kapolei, offering easy access by car via H‑1 freeway (exit at Kualakai Parkway), with free 24/7 surface parking on-site. It’s a 20-minute drive from Daniel K. Inouye International Airport (HNL) via H-1 West—taxi or rideshare is straightforward. While there’s no dedicated public transit to the office park, TheBus routes run nearby along Kamokila Blvd; guests can take a short rideshare or walk from the stop.

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
Honolulu, HI - Waterfront
$ 2703 (Online)
$ 2703 (Classroom)

AI-Powered Audio Enhancement and Noise Reduction

2025-09-22 9:30 am
14 hours
Kapolei, HI - Kalaeloa Professional Center
$ 2703 (Online)
$ 3703 (Classroom)

Voice Cloning and Speech Generation with AI

2025-10-06 9:30 am
14 hours
Honolulu, HI - Waterfront
$ 2703 (Online)
$ 2703 (Classroom)

Audio Classification and Event Detection with ML

2025-10-20 9:30 am
21 hours
Kapolei, HI - Kalaeloa Professional Center
$ 4054 (Online)
$ 5554 (Classroom)

Introduction to Audio AI

2025-11-03 9:30 am
14 hours
Honolulu, HI - Waterfront
$ 2703 (Online)
$ 2703 (Classroom)

Building Intelligent Voice Assistants with AI

2025-11-17 9:30 am
21 hours
Kapolei, HI - Kalaeloa Professional Center
$ 4054 (Online)
$ 5554 (Classroom)

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