Artificial Intelligence & Internet of Things (AIoT) for Industry - MASTERCLASS TRAINING COURSE (25th - 26th November 2024)
- Posted Nov 25, 2024
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Event Description
Singapore Water Association will be organising a 2-day in-person training class on Artificial Intelligence & Internet of Things (AIoT) for Industry on 25 & 26 November 2024. The overall objective of this course is to enable participants to gain a working knowledge of the fusion of Artificial Intelligence (AI) and the Internet of Things (IoT), referred to as “AIoT”. This course covers data analytics and machine learning using Python and AI frameworks which enable trends and events to be predicted so that organisations can respond effectively to opportunities and threats. We will also touch on how ChatGPT can be used for data analysis.
Event Details
Date: Monday, 25th November 2024 - Tuesday, 26th November 2024
Time: 09:00 am – 05:00 pm
Venue: Waterhub, SgWX 84 Toh Guan Road East
Learning Outcomes
• Understand the key technological building blocks of IoT devices such as sensors and wireless networks
• Appreciate the benefits of edge and cloud computing for AIoT
• Be exposed to the features found in modern IoT platforms and applications
• Learn about data analytics and machine learning algorithms for analysing IoT data
• Build AI and deep learning models to predict trends and events from large industrial IoT data sets
Course Topics
1. Introduction to the Internet of Things (IoT)
– Sensors, low energy embedded system, and smart meters
– Wireless communication protocols, e.g. LoRa, NB-IoT, 5G and IoT
– Information processing at the edge and cloud
2. IoT Platforms and Applications
– Data collection, aggregation, storage, query and analysis (platform examples: ThingWorx, Microsoft Azure)
– Applications: Industry use cases and Digital twins
3. Data Analytics on IoT Data
– Data analytics techniques: regression, clustering, and classification using support vector machine (SVM)
– Simple trend and event prediction
4. AI and Deep Learning with IoT
– Multi-layer neural networks and Deep Learning
– Recurrent neural networks (RNN), LSTM, Convolutional neural networks (CNN)
– Data modelling of time-series sensor data
– Data analysis using ChatGPT
– Advanced trend and event prediction, e.g. predictive maintenance
5. Hands-on Exercises
– Participants will analyse IoT data using the Python programming language and AI frameworks Scikit-learn and TensorFlow which are widely used in industry. You will derive insights and predict trends and events. The necessary data sets and computer code will be provided to participants.
COURSE FEE ( Subject to GST 9%):
SWA Member - SGD 850
Non-Member - SGD 950
Award of Certificate
1. Participants will be issued with certificates by both SWA and NYP upon meeting 75% of the required course attendance.
2. This course is qualified for PDUs by PEB (No. of PDUs to be confirmed)
About the Trainer:
Tham Chen Khong is an associate professor at the Department of Electrical and Computer Engineering (ECE) of the National University of Singapore (NUS). His research, training and consulting activities are in the areas of IoT sensor data analytics, wireless mobile computing and machine learning algorithms and architectures. Other than NUS, he had worked at Accenture and A*STAR Institute for Infocomm Research (I2R). He led a number of research projects funded by NRF, A*STAR and MOE, Singapore, as well as consultancy projects with industry. He obtained his Ph.D. and M.A. degrees in Electrical and Information Sciences Engineering from the University of Cambridge, United Kingdom, and is a senior member of the IEEE.
For further enquiries, please feel free to contact Ms Cecilia Tan at 65150812 or email cecilia@swa.og.sg