Portland, OR

121 Southwest Salmon Street, Portland, United States, 97204

The venue is located within the iconic World Trade Center complex at 121 SW Salmon Street, nestled in downtown Portland's Waterfront District and connected via sky-walks to adjacent buildings. It's easily reached by car via I‑405 or US‑26/Salmon Street, with public parking available in the nearby Smart Park garage. From Portland International Airport (PDX), a taxi or rideshare takes approximately 20–25 minutes via I‑205 South and I‑5 South. For public transit users, TriMet's MAX Light Rail stops two blocks south at SW Salmon & 6th Ave, and bus routes 5, 9, and 14 serve nearby streets—providing seamless access without a car.

Eugene, OR

66 E 6th Ave, Eugene, United States, 97401

The venue is conveniently located in downtown Eugene and is easily accessible by car via I‑5 and OR‑99, with several public garages and surface parking options nearby. For those arriving by air, Eugene Airport (EUG) is approximately 8 miles away. Public transit options are also available, with multiple bus stops nearby and convenient access via the Eugene Amtrak or regional bus services to downtown.

Salem, OR

201 Liberty Street SE, Salem, United States, 97301

The venue is easily accessible by car via I‑5 and I‑99W, with nearby public parking garages and street parking available. For those arriving by air, Salem Municipal Airport is located approximately 5 miles away. Public transit options are also convenient, with several Cherriots bus routes stopping within walking distance of the venue, which is situated near central downtown amenities.

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...

Last Updated:

Upcoming Courses

AI-Powered Audio Enhancement and Noise Reduction

2025-09-08 9:30 am
14 hours
Portland, OR
$ 2703 (Online)
$ 3703 (Classroom)

AI-Powered Audio Enhancement and Noise Reduction

2025-09-22 9:30 am
14 hours
Portland, OR
$ 2703 (Online)
$ 3703 (Classroom)

Voice Cloning and Speech Generation with AI

2025-10-06 9:30 am
14 hours
Portland, OR
$ 2703 (Online)
$ 3703 (Classroom)

Audio Classification and Event Detection with ML

2025-10-20 9:30 am
21 hours
Portland, OR
$ 4054 (Online)
$ 5554 (Classroom)

Introduction to Audio AI

2025-11-03 9:30 am
14 hours
Portland, OR
$ 2703 (Online)
$ 3703 (Classroom)

Building Intelligent Voice Assistants with AI

2025-11-17 9:30 am
21 hours
Portland, OR
$ 4054 (Online)
$ 5554 (Classroom)

Other regions in the US

Other Countries

These courses are also available in other countries

Consulting

Audio AI Consulting
Online Speech AI training in Oregon, Audio AI training courses in Oregon, Weekend Intelligent Audio courses in Oregon, Evening Speech AI training in Oregon, Audio AI instructor-led in Oregon, Online Voice AI training in Oregon, Voice AI instructor in Oregon, Intelligent Audio on-site in Oregon, Intelligent Audio boot camp in Oregon, Voice AI one on one training in Oregon, Intelligent Audio trainer in Oregon, Speech AI instructor-led in Oregon, Weekend Intelligent Audio training in Oregon, Speech AI coaching in Oregon, Speech AI classes in Oregon, Speech AI private courses in Oregon, Evening Intelligent Audio courses in Oregon