Machine Learning & IoT Online Course
Join our virtual, live instructor-led session and master Machine Learning & IoT Training from anywhere in the world.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| MIT-02 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| MIT-02 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| MIT-02 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| MIT-02 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| MIT-02 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| MIT-02 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
Introduction to Machine Learning and IoT
Setting Up IoT Ecosystems
Fundamentals of Machine Learning
Connecting IoT with Machine Learning
Advanced IoT Applications
Building Predictive Models for IoT Data
Tools and Platforms for ML and IoT
Security and Ethics in ML and IoT
IoT and ML in the Public Sector
Future Trends in ML and IoT
Market-specific guidance for Hong Kong
A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.
Tools and platforms relevant to this field
6Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
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MindSphere SiemensWidely adopted by the EMSD and HKIA for industrial IoT data ingestion and digital twin synchronization.
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AWS IoT Core (Hong Kong Region) Amazon Web ServicesPreferred for low-latency local data processing and integration with SageMaker for ML model deployment.
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Alibaba Cloud IoT Platform Alibaba CloudExtensively used for cross-border logistics and smart city applications connecting Hong Kong with the Greater Bay Area.
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AMS Machinery Manager Emerson ElectricSpecific tool used by MTR for vibration analysis and predictive health monitoring of station escalators.
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SAP for Utilities SAPThe core backend used by CLP Power to process smart meter data and perform validation, estimation, and editing (VEE).
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iAM Smart Digital Policy Office (HKSAR)The government-issued digital identity platform used to authenticate users for IoT-enabled public services.
Real-World Case Studies from Hong Kong
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Digital Twin and IoT-Driven Smart Airport Operations 2020Airport Authority Hong Kong (AAHK)
Hong Kong International Airport (HKIA) implemented a comprehensive Digital Twin of Terminal 1, integrating real-time data from over 10,000 IoT sensors. The system uses Machine Learning to predict passenger flow, monitor baggage trolley availability via video analytics, and forecast intense wind shear using Bayesian optimized XGBoost models to enhance flight safety.
Achieved a baggage sortation read rate increase from 80% to 97% through RFID integration and enabled proactive resource allocation by predicting operational bottlenecks before they occur.
View source -
Smart Maintenance and Predictive Analytics for Railway Assets 2023MTR Corporation
MTR transitioned from manual route-based inspections to a 'Smart Maintenance' regime. They deployed IoT vibration sensors on escalators and trackside equipment, using ML algorithms to detect mechanical degradation and acoustic anomalies in real-time across their 167-station network.
Reduced unplanned downtime for station facilities and optimized maintenance windows in one of the world's busiest railway systems, supported by a HK$65 billion investment in asset renewal and technology.
View source
Where this course runs
Machine Learning & IoT Training is delivered in the cities below — pick the one that fits your schedule.
