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 Yemen
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
4Field-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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Huawei Core & RAN Huawei TechnologiesPrimary infrastructure provider for Yemen Mobile's 4G LTE and CDMA networks, essential for IoT connectivity.
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ZTE Wireless Solutions ZTE CorporationUsed extensively in the eastern regions of Yemen for telecommunications infrastructure and data services.
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Python Python Software FoundationThe standard language for developing machine learning models for solar radiation prediction and energy load forecasting in Yemeni research.
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Arduino ArduinoWidely used for prototyping IoT sensor nodes in local solar energy monitoring and agricultural automation projects.
Real-World Case Studies from Yemen
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Renewable Energy to Improve Access to Health Services and Livelihood Opportunities (HEAL) 2023United Nations Development Programme (UNDP)
Implementation of solar microgrids across five governorates (Aden, Lahj, Abyan, Sana'a, and Hajjah) to provide clean energy to health facilities and entrepreneurs. The project utilizes IoT-enabled monitoring systems to track energy production and consumption in real-time, ensuring the sustainability of off-grid power in conflict-affected areas.
Electrified over 500 schools and health facilities, reaching 3.2 million beneficiaries and reducing reliance on expensive, unreliable diesel generators.
View source -
4G LTE Network Expansion and IoT Readiness 2021Yemen Mobile
The transition from CDMA to 4G LTE infrastructure using Huawei and ZTE equipment to support high-speed data transmission. This infrastructure serves as the backbone for emerging IoT applications in Yemen, including fleet management and remote asset monitoring for the private sector.
Became the first operator in Yemen to provide 4G LTE services, reaching over 14 million subscribers and enabling the connectivity required for large-scale IoT deployments.
View source
Where this course runs
Machine Learning & IoT Training is delivered in the cities below — pick the one that fits your schedule.
