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 Cameroon
From your market
Real tools and case studies from Cameroon — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
4-
Orange IoT Managed Connectivity Orange CameroonProvides M2M SIM management and secure connectivity for IoT devices across Cameroon's national GSM network.
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MTN Business IoT Solutions MTN CameroonUsed for fleet management, asset tracking, and smart metering applications using MTN's dedicated IoT infrastructure.
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TensorFlow GoogleThe primary open-source library used by local agritech and healthtech startups for training machine learning models on local datasets.
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AWS IoT Core Amazon Web ServicesCommonly used by Cameroonian tech hubs to connect and manage device gateways to cloud-based analytics.
Real-World Case Studies from Cameroon
2-
AI-Powered Crop Disease Diagnostics 2018Agrix Tech
Agrix Tech developed a mobile application that utilizes machine learning to help small-scale farmers in Cameroon detect plant diseases and pests. Farmers scan affected crops with their phone cameras, and the ML model provides immediate diagnosis and treatment recommendations in local languages.
The platform has supported over 1,100 farmers, helping to reduce crop losses by up to 30% through early detection and precision treatment.
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CardioPad Remote Heart Monitoring 2016Himore Medical
Developed by Arthur Zang, the CardioPad is an IoT-enabled medical tablet that allows healthcare workers in rural Cameroon to perform ECGs. The data is transmitted wirelessly via GSM networks to cardiologists in urban centers for remote interpretation.
Equipped over 260 health centers across Cameroon, significantly increasing access to cardiac care for rural populations who previously had to travel hundreds of kilometers for testing.
Where this course runs
Machine Learning & IoT Training is delivered in the cities below — pick the one that fits your schedule.























