Virtual Training
Computing, IT Systems, and Emerging Technologies
Machine Learning & IoT Online Course
Join our virtual, live instructor-led session and master Machine Learning & IoT Training from anywhere in the world.
10 Days
Duration
Live Online
Delivery
7 Dates
Available
Certificate
Included
None
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
1
Introduction to Machine Learning and IoT
2
Setting Up IoT Ecosystems
3
Fundamentals of Machine Learning
4
Connecting IoT with Machine Learning
5
Advanced IoT Applications
6
Building Predictive Models for IoT Data
7
Tools and Platforms for ML and IoT
8
Security and Ethics in ML and IoT
9
IoT and ML in the Public Sector
10
Future Trends in ML and IoT
Market-specific guidance for Zimbabwe
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
5Field-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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ThingsBoard ThingsBoard, Inc.Widely adopted in Zimbabwe for open-source IoT device management and data visualization, particularly in agricultural sensor projects.
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AWS IoT Core Amazon Web ServicesUsed by Zimbabwean tech hubs and enterprises for connecting devices to the cloud, leveraging Liquid Intelligent Technologies' status as an AWS partner.
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Azure IoT Hub MicrosoftCommonly utilized by large-scale mining and industrial firms in Zimbabwe that operate within the Microsoft enterprise ecosystem for predictive maintenance.
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Power BI MicrosoftThe primary tool for visualizing IoT-generated data and ML model outputs for executive decision-making in the Zimbabwean corporate sector.
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TensorFlow GoogleThe standard open-source library used by Zimbabwean data scientists to build and deploy machine learning models for fintech and retail analytics.
Where this course runs
Machine Learning & IoT Training is delivered in the cities below — pick the one that fits your schedule.
