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 →
MIT-02 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
Training Date
to
10 Days
USD 1,700
MIT-02
Training Date
to
10 Days
USD 1,700
MIT-02
Training Date
to
8 Weeks
USD 1,700
MIT-02
Training Date
to
10 Days
USD 1,700
MIT-02
Training Date
to
10 Days
USD 1,700
MIT-02
Training Date
to
8 Weeks
USD 1,700
MIT-02
Training Date
to
10 Days
USD 1,700
MIT-02

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 Eswatini

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

5

Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.

  • SAP S/4HANA SAP
    Used by major industrial players like RES Corp as the core ERP to integrate ML-driven agricultural insights with business operations.
  • MTN Ocean MTN Group
    The primary IoT connectivity management platform used in Eswatini for deploying and scaling smart meter and asset tracking solutions.
  • ArcGIS Esri
    Extensively used in Eswatini for spatial analysis and mapping IoT sensor data in the sugar and forestry sectors.
  • Microsoft Azure IoT Hub Microsoft
    A preferred cloud backend for local developers and enterprises to ingest and analyze data from distributed IoT devices.
  • Cartrack Fleet Management Cartrack
    The dominant telematics tool for IoT-based vehicle tracking and logistics optimization in the Eswatini market.

Real-World Case Studies from Eswatini

1
  • IoT-Driven Fleet Management and Telematics 2023
    Cartrack Eswatini

    Cartrack deployed IoT-based telematics solutions across Eswatini to help logistics and transport firms monitor driver behavior, fuel consumption, and vehicle health in real-time. The platform uses machine learning to provide predictive maintenance alerts and route optimization.

    Enabled local businesses to reduce fuel costs by up to 15% and significantly improved fleet safety through proactive driver behavior monitoring.

    View source

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

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Amnesty International
UNDT SACCO
UNFPA
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Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University