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 New Zealand

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

4

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

  • Spark IoT Control Centre Spark New Zealand
    A centralized platform for managing large-scale IoT SIM connectivity, used by companies like UBCO for global fleet tracking and diagnostics.
  • Adroit Environmental Monitoring Adroit
    Specialized IoT sensors and dashboards used by NZ councils and farmers for real-time water quality and environmental reporting.
  • Levno for Fuel Levno
    A locally developed IoT solution for monitoring fuel and milk tanks in real-time to prevent theft and optimize delivery schedules.
  • Azure IoT Hub Microsoft
    The primary cloud backend for many NZ IoT innovators, including PiP IoT, for secure data ingestion and machine learning integration.

Real-World Case Studies from New Zealand

1
  • Virtual Fencing and Autonomous Herding 2024
    Halter

    Halter developed solar-powered, GPS-enabled IoT collars for dairy and beef cattle that use sound and vibration cues to guide animals. The system uses AI to automate herd movements and create virtual fences, allowing farmers to manage pasture and stock remotely via a mobile app.

    Enabled precise pasture utilization, reduced labor requirements for shifting stock, and improved environmental compliance by keeping cattle out of waterways without physical fencing.

    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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UNDT SACCO
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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