Santiago - El Golf

Avenida Apoquindo 3600, Piso 5, Santiago, Chile, 7550108

The Center occupies the fifth and ninth floors of a modern office block with an attractive, spacious reception area. It has its own secure underground parking and is protected by 24-hour CCTV. It is just a few minutes' walk from an underground railway station. Arturo Meriono Benitez International Airport is 26km away.

Santiago - Vitacura

Avenida Vitacura 2670, Floor 15, Santiago, Chile, 7550698

The Santiago Vitacura Center is located on the 15th floor of one of the newest high-rise buildings in the city, situated near El Bosque, an attractive business and residential district, and adjacent to the Santiago World Trade Center. The Center has its own on-site coffee bar and secure underground parking. There are good public transport connections, and the international airport is 40 minutes away.

Explore Our Courses

Computer Vision with OpenCV

 28 Hours
OpenCV (Open Source Computer Vision Library: http://opencv.org) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms. Audience This course is directed at engineers and architects seeking to utilize OpenCV for computer vision projects
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Python and Deep Learning with OpenCV 4

 14 Hours
This instructor-led, live training in Santiago (online or onsite) is aimed at software engineers who wish to program in Python with OpenCV 4 for deep learning. By the end of this training, participants will be able to:
  • View, load, and classify images and videos using OpenCV 4.
  • Implement deep learning in OpenCV 4 with TensorFlow and Keras.
  • Run deep learning models and generate impactful reports from images and videos.
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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.
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Testimonials (1)

I genuinely enjoyed the hands-on approach.

Kevin De Cuyper

Course - Computer Vision with OpenCV

Upcoming Courses

Python and Deep Learning with OpenCV 4

2025-05-26 09:30
14 hours
Santiago - Vitacura
UF 98,43 (Online)
UF 328,43 (Classroom)

Computer Vision with OpenCV

2025-06-09 09:30
28 hours
Santiago - El Golf
UF 256,25 (Online)
UF 636,25 (Classroom)

Raspberry Pi + OpenCV for Facial Recognition

2025-06-23 09:30
21 hours
Santiago - Vitacura
UF 198,43 (Online)
UF 543,43 (Classroom)

Computer Vision with OpenCV

2025-07-07 09:30
28 hours
Santiago - El Golf
UF 256,25 (Online)
UF 636,25 (Classroom)

Python and Deep Learning with OpenCV 4

2025-07-21 09:30
14 hours
Santiago - Vitacura
UF 98,43 (Online)
UF 328,43 (Classroom)

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