Background and goal
This course is jointly launched by the Hong Kong Productivity Council and TibaMe Co., Ltd. (TibaMe). It teaches the most advanced smart manufacturing technology on the market. The course covers smart manufacturing technology, industrial Internet of Things, predictive maintenance technology, Deep learning, manufacturing blockchain technology, big data and smart manufacturing practice cases, etc.
Date and time
Aug 28, 29; Sep 4, 11, 12, 25 2020 (Total 6 days)
9:30 AM – 12:30 PM, 2:30 PM – 5: 30 PM (6 hours/day, total 36 hours)
(Please refer the course contents)
Location
Webinar
** According to the development of the epidemic situation, some overseas and mainland speakers of training courses may use video conference mode to explain topics and answer questions with the audience. If the training course is finally conducted in the form of a video conference, participants can decide to watch the live webcast or visit the productivity hall conference hall to watch the live broadcast on the TV wall or projection facility for communication **
Title / Contents
- The intelligent manufacturing basic technology
- Industrial IoT technology and architecture
- Predictive maintenance machine learning model
- Deep learning technology architecture and application case analysis in manufacturing
- The application of blockchain in manufacturing and supply chain
- Big data in smart manufacturing practice case
Course fee
Course Fee: $12,000 HKD (May apply up to $8,000 subsidy)
**The course will additionally provide deep learning, AI computer image recognition courses provided by Taiwan Weiyu, worth about HK$4,000. (Refer attachment)**
Language of instruction
Mandarin
Lecturer
David Chiu Taiwan LargitData Co., Ltd. CEO
David Chiu focuses on providing big data and machine learning products. He has previously worked for Trend Micro as a software engineer, where he was responsible for building big data platforms for business intelligence and customer relationship management systems. In addition to being a start-up entrepreneur and data scientist, he specializes in using Spark and Hadoop to process big data and apply data mining techniques for data analysis. Yu Wei is also a professional lecturer and has delivered lectures on big data and machine learning in R and Python and give tech talks at a variety of conferences.