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

TinyML: Running AI on Ultra-Low-Power Edge Devices

 21 Hours

This instructor-led, live training in Hawaii (online or onsite) is aimed at intermediate-level embedded engineers, IoT developers, and AI researchers who wish to implement TinyML techniques for AI-powered applications on energy-efficient hardware.

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

  • Understand the fundamentals of TinyML and edge AI.
  • Deploy lightweight AI models on microcontrollers.
  • Optimize AI inference for low-power consumption.
  • Integrate TinyML with real-world IoT applications.
Read more...

TinyML for IoT Applications

 21 Hours

This instructor-led, live training in Hawaii (online or onsite) is aimed at intermediate-level IoT developers, embedded engineers, and AI practitioners who wish to implement TinyML for predictive maintenance, anomaly detection, and smart sensor applications.

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

  • Understand the fundamentals of TinyML and its applications in IoT.
  • Set up a TinyML development environment for IoT projects.
  • Develop and deploy ML models on low-power microcontrollers.
  • Implement predictive maintenance and anomaly detection using TinyML.
  • Optimize TinyML models for efficient power and memory usage.
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Deploying AI on Microcontrollers with TinyML

 21 Hours

This instructor-led, live training in Hawaii (online or onsite) is aimed at intermediate-level embedded systems engineers and AI developers who wish to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

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

  • Understand the fundamentals of TinyML and its benefits for edge AI applications.
  • Set up a development environment for TinyML projects.
  • Train, optimize, and deploy AI models on low-power microcontrollers.
  • Use TensorFlow Lite and Edge Impulse to implement real-world TinyML applications.
  • Optimize AI models for power efficiency and memory constraints.
Read more...

Introduction to TinyML

 14 Hours

This instructor-led, live training in Hawaii (online or onsite) is aimed at beginner-level engineers and data scientists who wish to understand TinyML fundamentals, explore its applications, and deploy AI models on microcontrollers.

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

  • Understand the fundamentals of TinyML and its significance.
  • Deploy lightweight AI models on microcontrollers and edge devices.
  • Optimize and fine-tune machine learning models for low-power consumption.
  • Apply TinyML for real-world applications such as gesture recognition, anomaly detection, and audio processing.
Read more...

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Upcoming Courses

Introduction to TinyML

2025-08-07 9:30 am
14 hours
Kapolei, HI - Kalaeloa Professional Center
$ 2703 (Online)
$ 3703 (Classroom)

Deploying AI on Microcontrollers with TinyML

2025-08-25 9:30 am
21 hours
Honolulu, HI - Waterfront
$ 4054 (Online)
$ 4054 (Classroom)

Introduction to TinyML

2025-09-04 9:30 am
14 hours
Kapolei, HI - Kalaeloa Professional Center
$ 2703 (Online)
$ 3703 (Classroom)

TinyML for IoT Applications

2025-09-22 9:30 am
21 hours
Honolulu, HI - Waterfront
$ 4054 (Online)
$ 4054 (Classroom)

TinyML for IoT Applications

2025-10-06 9:30 am
21 hours
Kapolei, HI - Kalaeloa Professional Center
$ 4054 (Online)
$ 5554 (Classroom)

Deploying AI on Microcontrollers with TinyML

2025-10-20 9:30 am
21 hours
Honolulu, HI - Waterfront
$ 4054 (Online)
$ 4054 (Classroom)

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