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 Liberia
From your market
Real tools and case studies from Liberia — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
4-
Orange Live Objects Orange BusinessA multi-protocol IoT platform used locally for device management, data collection, and visualization, particularly for smart metering and asset tracking.
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mWater mWaterWidely used by the Liberian government and NGOs for real-time monitoring of water, sanitation, and health (WASH) infrastructure.
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ThingsBoard ThingsBoard, Inc.An open-source IoT platform frequently used by local tech hubs and researchers for environmental monitoring and smart agriculture projects.
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Yield Hub Opti DigitalAn AI-powered dynamic pricing tool used by major digital platforms in the region to optimize advertising yield through machine learning.
Real-World Case Studies from Liberia
2-
Industrial Automation at the Tokadeh Concentrator 2025ArcelorMittal Liberia
As part of a $1.8 billion Phase 2 expansion, ArcelorMittal inaugurated a state-of-the-art iron ore concentrator facility. The plant utilizes advanced industrial automation and IoT sensors to monitor the beneficiation process, rail logistics, and port transshipment systems in real-time.
Quadrupled iron ore production capacity from 5 million to 20 million tonnes per annum while improving product grade through automated quality control.
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Digital Water Point Mapping and Monitoring 2023Ministry of Public Works (Liberia)
The Liberian government, in collaboration with international partners, utilized the mWater platform to map and monitor thousands of water points across the country. The system uses mobile data collection and IoT-ready sensors to track water functionality and quality.
Enabled data-driven maintenance schedules for rural water infrastructure, significantly reducing the downtime of critical community water sources.
Where this course runs
Machine Learning & IoT Training is delivered in the cities below — pick the one that fits your schedule.
