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
Built for Singapore
From your market
Real tools and case studies from Singapore — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
5-
DECADA GovTech SingaporeThe central government IoT platform used by agencies for device management, data acquisition, and secure cloud connectivity.
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Open Digital Platform (ODP) GovTech / JTC CorporationUsed in smart districts like Punggol Digital District to integrate building management systems, IoT sensors, and AI-driven urban planning.
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UnaConnect UnaBizA locally-developed data management platform for massive IoT deployments, often used for asset tracking and facility management in Singapore.
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AWS IoT Core Amazon Web ServicesWidely adopted by Singaporean enterprises for connecting IoT devices to the cloud and running ML models at the edge.
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Azure IoT Edge MicrosoftCommonly used in Singapore's manufacturing sector to deploy AI models directly onto factory floor hardware.
Real-World Case Studies from Singapore
1-
Smart Airport Vision: Predictive Maintenance and Passenger Flow 2021Changi Airport Group
Changi Airport Group (CAG) deployed an enterprise-wide IoT and AI framework to monitor critical airport assets, including baggage handling systems and passenger escalators. Machine learning models analyze telemetry data to predict mechanical failures before they occur and optimize passenger flow through terminal checkpoints.
Reduced unplanned downtime of critical systems and enhanced passenger experience by minimizing bottlenecks during peak travel periods.
Where this course runs
Machine Learning & IoT Training is delivered in the cities below — pick the one that fits your schedule.
