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 Uganda
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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MTN IoT Management Platform MTN UgandaProvides a centralized self-service portal for managing IoT SIMs and connectivity across the 4G and 5G networks in Uganda.
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UGPass NITA-UA digital identity and e-signature solution used to secure IoT transactions and ensure data integrity in government-linked smart city projects.
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Power BI MicrosoftThe dominant tool for visualizing IoT sensor data and ML model outputs within the Ugandan corporate and NGO sectors.
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ThingsBoard Open Source (Local Integrators)Widely adopted by Ugandan tech startups for building custom IoT dashboards and device management systems due to its flexibility.
Real-World Case Studies from Uganda
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AirQo Air Quality Monitoring 2019Makerere University
A project leveraging a network of low-cost IoT sensors across Kampala and other Ugandan cities to monitor air pollution levels in real-time. The system uses Machine Learning algorithms to calibrate sensors and provide high-resolution air quality forecasts.
Enabled data-driven policy decisions for urban planning and provided public access to real-time pollution data via a mobile app, significantly improving environmental awareness.
View source -
IoT-Enabled Pay-As-You-Go Solar 2011M-KOPA Solar
M-KOPA uses IoT sensors embedded in solar home systems to monitor usage and enable remote activation/deactivation based on payment status. Machine Learning models are applied to the resulting data to perform credit scoring for unbanked customers.
Expanded energy access to over 1 million households in East Africa, including Uganda, while maintaining low default rates through predictive credit analytics.
View source
Where this course runs
Machine Learning & IoT Training is delivered in the cities below — pick the one that fits your schedule.
