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
Built for Australia
From your market
Real tools and case studies from Australia — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
5-
Microsoft Azure IoT Hub MicrosoftUsed to connect and manage large fleets of devices and stream telemetry into cloud services for monitoring, alerts, and downstream machine learning workflows.
-
AWS IoT Core Amazon Web ServicesUsed to ingest device data securely at scale and route it into analytics and ML pipelines for real-time decision-making.
-
Google Cloud Vertex AI Google CloudUsed to build, train, and deploy machine learning models that can score IoT data and support predictive maintenance or forecasting.
-
Power BI MicrosoftUsed to visualize device performance, model outputs, and operational KPIs for business users and managers.
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TensorFlow GoogleUsed to develop and deploy machine learning models for classification, prediction, and anomaly detection in connected-device data.
Where this course runs
Machine Learning & IoT Training is delivered in the cities below — pick the one that fits your schedule.
