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 Greece
From your market
Real tools and case studies from Greece — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
4-
Gaiasense NEUROPUBLIC S.A.Dominant local IoT platform for precision agriculture and agritech in Greece.
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Cassandra DeepSea TechnologiesAI-led vessel performance monitoring tool widely used in the Greek maritime sector.
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Pythia DeepSea TechnologiesMachine Learning voyage optimization platform for shipping route efficiency.
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Azure IoT Hub MicrosoftPrimary cloud infrastructure for Greek enterprises scaling IoT and ML workloads.
Real-World Case Studies from Greece
2-
Gaiasense Smart Farming Implementation 2024NEUROPUBLIC S.A.
Deployment of a large-scale IoT infrastructure across Greece using thousands of wireless sensors to collect atmospheric and soil data. The system uses Machine Learning models to provide actionable advice on irrigation, fertilization, and pest control.
Achieved a 15% reduction in water consumption and a 10% reduction in production costs in the organic avocado sector, while improving overall crop yield through precision analytics.
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Trikala Smart City Infrastructure 2021Municipality of Trikala
Integration of IoT sensors for smart street lighting, waste management, and traffic monitoring. The city also piloted driverless buses and automated e-complaint systems for citizens.
The smart lighting pilot slashed electricity usage by 70%, while the e-complaint system processed over 4,000 requests with increased transparency and resolution speed.
Where this course runs
Machine Learning & IoT Training is delivered in the cities below — pick the one that fits your schedule.
