NobleProg Training Place, City Sioux Falls, SD

Sioux Falls, SD

100 E 6th St, Sioux Falls, United States, 57104

The venue is located in the heart of downtown Sioux Falls at 100 East 6th Street in the historic Milwaukee Freight Depot (“The Depot”), easily accessible by car via I‑229 with exits to Phillips or Minnesota Avenue, with both on‑site and nearby public parking available. From Sioux Falls Regional Airport (FSD), head west on SD‑42, then north on I‑229 and exit at Phillips Avenue; the taxi or rideshare trip typically takes about 10 minutes. Public transit users can take Sioux Area Metro buses along Phillips or East 6th Street, followed by a brief walk into a vibrant, pedestrian‑friendly space.

Pierre, South Dakota

808 W Sioux Ave, Pierre, United States, 57501

The ClubHouse Hotel & Suites is located just east of downtown Pierre at 1600 East Highway 14, easily accessible by car via US‑83/US‑14 and offers free on-site parking. From Pierre Regional Airport (PIR), take US‑83 South to East Highway 14—taxi or rideshare takes approximately 5 minutes. Public transit users can catch River Cities Transit to stops on East Hwy 14, followed by a short walk to the hotel entrance.
NobleProg Training Place, City Sioux Falls, SD - Regus - CNA Building

Sioux Falls, SD - Regus - CNA Building

101 S Reid St, Suite 307, Sioux Falls, United States, 57103

The venue is located in the heart of downtown Sioux Falls at 101 South Reid Street in the LEED-certified CNA Building, which offers convenient access via I‑229 with exits to Reid or Phillips Avenue. On-site and nearby public garages provide ample parking. From Sioux Falls Regional Airport (FSD), it’s a 7‑minute drive south via SD‑42; taxi or rideshare typically takes about 10 minutes. Public transit users can take Sioux Area Metro buses along Phillips or Reid Street with stops directly outside the building.

Explore Our Courses

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

 21 Hours

This instructor-led, live training in South Dakota (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.
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TinyML for IoT Applications

 21 Hours

This instructor-led, live training in South Dakota (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 South Dakota (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 South Dakota (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
Sioux Falls, SD
$ 2703 (Online)
$ 2703 (Classroom)

Deploying AI on Microcontrollers with TinyML

2025-08-25 9:30 am
21 hours
Sioux Falls, SD
$ 4054 (Online)
$ 4054 (Classroom)

Introduction to TinyML

2025-09-04 9:30 am
14 hours
Sioux Falls, SD
$ 2703 (Online)
$ 2703 (Classroom)

TinyML for IoT Applications

2025-09-22 9:30 am
21 hours
Sioux Falls, SD
$ 4054 (Online)
$ 4054 (Classroom)

TinyML for IoT Applications

2025-10-06 9:30 am
21 hours
Sioux Falls, SD
$ 4054 (Online)
$ 4054 (Classroom)

Deploying AI on Microcontrollers with TinyML

2025-10-20 9:30 am
21 hours
Sioux Falls, SD
$ 4054 (Online)
$ 4054 (Classroom)

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