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IoT Certification Programme: Start from Beginner to Advanced Level in 5 Days

Classroom 125, 1/F, HKPC Building, 78 Tat Chee Avenue, Kowloon Tong or Online Broadcast subject to the situation of COVID-19

https://secureservercdn.net/198.71.233.47/2bl.96d.myftpupload.com/wp-content/uploads/2020/11/IoT_Cert-1024x392.png Date: 2,9,16,30 Jan & 6 Feb 2021 Time: 9:30 - 17:30 Venue: Classroom 125, 1/F, HKPC Building, 78 Tat Chee Avenue, Kowloon Tong or Online Broadcast subject to the situation of COVID-19 Medium: Cantonese, supplemented with English terminology As the world becomes increasingly digital, everything from coffee machines to cars can quickly become part of IoT network. Gartner forecasted that the number of connected things in use will go up to 25 million by 2021. The IoT will continue to deliver new opportunities for digital business innovation for the next decade. This program walkthroughs basics, concepts and applications of IoT from ground up. It covers its core technologies, IoT infrastructure, platform design and building, basic programming, data analysis and […]

Machine Learning Programming Workshop in Tensorflow, Keras and Pytorch

Computer room 125, 1/F HKPC Building, 78 Tat Chee Avenue, Kowloon Tong or Online Broadcast subject to the situation of COVID-19

https://secureservercdn.net/198.71.233.47/2bl.96d.myftpupload.com/wp-content/uploads/2020/08/machine_learning.png Date: 23 Jan 2021 (Sat) Time: 9:30 - 17:00 Venue: Computer room 125, 1/F HKPC Building, 78 Tat Chee Avenue, Kowloon Tong or Online Broadcast subject to the situation of COVID-19 Language: Cantonese, supplemented with English technical terms This course is intended for participants who aspire to learn machine learning and deep learning for AI digital transformation. TensorFlow, Keras and PyTorch are among the top three frameworks that are preferred by Data Scientists as well as beginners in the field of Deep Learning. This 1 day course will describe the application of Python programming using Tensorflow, Keras and Pytorch Libraries. Various innovative development approaches of machine learning and deep learning will also be covered.