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

AI Facial Recognition Development for Law Enforcement

 21 Hours

This instructor-led, live training in South Dakota (online or onsite) is aimed at beginner-level law enforcement personnel who wish to transition from manual facial sketching to using AI tools for developing facial recognition systems.

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

  • Understand the fundamentals of Artificial Intelligence and Machine Learning.
  • Learn the basics of digital image processing and its application in facial recognition.
  • Develop skills in using AI tools and frameworks to create facial recognition models.
  • Gain hands-on experience in creating, training, and testing facial recognition systems.
  • Understand ethical considerations and best practices in the use of facial recognition technology.
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OpenFace: Creating Facial Recognition Systems

 14 Hours

OpenFace is Python and Torch based open-source, real-time facial recognition software based on Google's FaceNet research.

In this instructor-led, live training, participants will learn how to use OpenFace's components to create and deploy a sample facial recognition application.

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

  • Work with OpenFace's components, including dlib, OpenVC, Torch, and nn4 to implement face detection, alignment, and transformation
  • Apply OpenFace to real-world applications such as surveillance, identity verification, virtual reality, gaming, and identifying repeat customers, etc.

Audience

  • Developers
  • Data scientists

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
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Raspberry Pi + OpenCV for Facial Recognition

 21 Hours

This instructor-led, live training introduces the software, hardware, and step-by-step process needed to build a facial recognition system from scratch. Facial Recognition is also known as Face Recognition.

The hardware used in this lab includes Rasberry Pi, a camera module, servos (optional), etc. Participants are responsible for purchasing these components themselves. The software used includes OpenCV, Linux, Python, etc.

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

  • Install Linux, OpenCV and other software utilities and libraries on a Rasberry Pi.
  • Configure OpenCV to capture and detect facial images.
  • Understand the various options for packaging a Rasberry Pi system for use in real-world environments.
  • Adapt the system for a variety of use cases, including surveillance, identity verification, etc.

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Note

  • Other hardware and software options include: Arduino, OpenFace, Windows, etc. If you wish to use any of these, please contact us to arrange.
Read more...

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Upcoming Courses

OpenFace: Creating Facial Recognition Systems

2025-08-12 9:30 am
14 hours
Sioux Falls, SD
$ 2703 (Online)
$ 2703 (Classroom)

AI Facial Recognition Development for Law Enforcement

2025-08-26 9:30 am
21 hours
Sioux Falls, SD
$ 4054 (Online)
$ 4054 (Classroom)

OpenFace: Creating Facial Recognition Systems

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

OpenFace: Creating Facial Recognition Systems

2025-09-23 9:30 am
14 hours
Sioux Falls, SD
$ 2703 (Online)
$ 2703 (Classroom)

Raspberry Pi + OpenCV for Facial Recognition

2025-10-07 9:30 am
21 hours
Sioux Falls, SD
$ 4054 (Online)
$ 4054 (Classroom)

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