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 Nigeria
From your market
Real tools and case studies from Nigeria — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
5-
ThingsBoard ThingsBoard, Inc.An open-source IoT platform frequently used by Nigerian startups for device management, data collection, and visualization due to its scalability and support for various protocols like MQTT and CoAP.
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AWS IoT Core Amazon Web ServicesUsed by Nigerian enterprises to securely connect IoT devices to the cloud and integrate with ML services like Amazon SageMaker for predictive modeling.
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Microsoft Azure IoT Hub MicrosoftA central message hub for bi-directional communication between IoT applications and devices, often paired with Power BI for local corporate reporting.
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TensorFlow GoogleThe primary open-source library used by Nigerian data scientists to build and deploy machine learning models for IoT edge devices.
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Power BI MicrosoftThe dominant business intelligence tool in Nigeria for visualizing real-time data streams coming from IoT sensors in manufacturing and logistics.
Real-World Case Studies from Nigeria
3-
Cold Chain Monitoring for Healthcare and Agriculture 2023Figorr (formerly Gricd)
Figorr utilizes IoT-enabled hardware and data logging devices to provide real-time tracking of temperature, humidity, and location for highly perishable goods like vaccines and fresh produce across Nigeria.
Reduced post-harvest losses and vaccine spoilage by providing automated alerts and predictive analytics to logistics providers, ensuring integrity of the cold chain.
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Precision Agriculture via Soil Sensors 2021Zenvus
Zenvus deploys proprietary IoT sensors in Nigerian farms to measure soil moisture, temperature, and nutrient levels, using ML algorithms to provide tailored fertilizer and irrigation recommendations to farmers via a mobile app.
Improved crop yields for smallholder farmers and reduced input waste by transitioning from blanket application to data-driven precision farming.
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Remote Monitoring and Control of Solar Assets 2022Arnergy
Arnergy integrates IoT controllers into their solar energy systems to monitor battery health, energy generation, and consumption patterns in real-time for commercial and residential clients in Nigeria.
Enabled a 'Pay-As-You-Go' business model and reduced maintenance costs through predictive diagnostics that identify battery failures before they occur.
Where this course runs
Machine Learning & IoT Training is delivered in the cities below — pick the one that fits your schedule.
