Delivered either online or onsite, our instructor-led live Face Recognition training courses provide an interactive, hands-on exploration of both the fundamentals and advanced concepts within the field.
These courses are available as "online live training" or "onsite live training." Online live training, also referred to as "remote live training," is conducted through an interactive remote desktop session. Onsite live training can be hosted directly at your customer premises in Bangkok or within NobleProg's corporate training centers located in Bangkok.
Face Recognition is frequently referred to as Facial Recognition.
NobleProg -- Your Local Training Provider
Empire Tower
1, South Sathorn Road,, Bangkok, thailand, 10120
Ways to get there
BTS Skytrain: Take the Silom Line and get off at BTS Chong Nonsi. The Empire is within walking distance; the building has access from the Sathorn/Naradhiwas area.
BTS Saint Louis:Saint Louis station is also nearby, around a 7-minute walk according to current location information.
BRT: Get off at BRT Sathorn. It's approximately a 2–4 minute walk to the building.
MRT:MRT Silom is another option, followed by a walk toward Sathorn.
Taxi/Grab: Give the driver: “The Empire, 1 South Sathorn Road, Sathon, Bangkok 10120.” The official building site confirms this address.
By car: The building can be accessed from Sathorn Road or Naradhiwas Rajanagarinda Road.
This live, instructor-led training held in Bangkok (either online or on-site) is tailored for entry-level law enforcement officers seeking to move beyond manual facial sketching and embrace AI tools for developing facial recognition systems.
By the conclusion of this program, participants will be able to:
Comprehend the foundational principles of Artificial Intelligence and Machine Learning.
Understand the basics of digital image processing and its application in facial recognition.
Build skills in deploying AI tools and frameworks to construct facial recognition models.
Accumulate hands-on experience in building, training, and evaluating facial recognition systems.
Address ethical considerations and adhere to best practices in the deployment of facial recognition technology.
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