Explain basic machine-learning approaches and evaluate a simple use case.
Machine Learning Fundamentals is a 8-hour Professional Short Course in Data, Analytics & Automation. Build focused understanding through practical examples and structured learning.
Who this course is for
Professionals seeking an introductory understanding of machine learning and its business use.
Entry guidance
Basic computer confidence is helpful. Discuss your starting level and any software or account requirements with RDE before enrolment. Data courses benefit from spreadsheet familiarity; programming and machine-learning topics may require further practice beyond this introductory course.
Learning themes
Indicative themes describe the intended focus. RDE confirms the delivery syllabus and activities before enrolment.
- Supervised and unsupervised learning concepts
- Training and test data, features and evaluation
- Overfitting, bias and interpreting model limitations
Practical activity
Example activity: Compare model outputs for a small example and explain performance and limitations. Use fictional, openly available or appropriately anonymised data rather than confidential personal or employer information.
Learning outcomes
The intended outcome is to explain basic machine-learning approaches and evaluate a simple use case. A short course builds foundations; specialist capability develops through further study and experience.
How you can study
Fully virtual live online or self-paced options are subject to current availability. Confirm delivery format, software access and any optional assessment or mentoring before enrolment.
Career relevance and recognition
Develop skills relevant to data, reporting, analysis or technology-enabled workplace tasks. The course does not guarantee employment or automatically award a vendor certification. Ask RDE what completion recognition applies.
Progression options
Explore a related route for deeper development. Its duration, enrolment and any certification assessment are separate from this short course.
Data Foundations Program (DFP)
Your next step
Register your interest to discuss your goals, starting level and availability. Content reviewed 7 October 2026.