Judge whether a business problem suits machine learning and explain evidence needed before adoption.
Machine Learning Essentials is a 8-hour Professional Short Course in AI, Digital & Emerging Tech. Develop practical understanding of technology choices, useful applications and their limits.
Who this course is for
Professionals considering where machine learning may help solve a business problem.
Entry guidance
Basic computer confidence is helpful. No advanced programming is assumed for this introductory scope. Discuss your starting level, software or account requirements and support needs with RDE before enrolment.
Learning themes
Indicative themes describe the intended focus. RDE confirms the delivery syllabus and activities before enrolment.
- Problem framing, data suitability and model types
- Training, evaluation and interpreting performance
- Bias, changing data and operational monitoring
Practical activity
Example activity: Assess a sample business use case and interpret simple model results to recommend further testing. Use fictional or appropriately anonymised material, and follow the relevant permissions and organisational policies.
Learning outcomes
The intended outcome is to judge whether a business problem suits machine learning and explain evidence needed before adoption. Further practice and specialist support may be needed for production implementation.
Responsible use and limitations
Evaluate outputs and assumptions rather than accepting them automatically. Keep confidential information protected and retain accountable human review for consequential decisions. Tool availability and features may change; introductory learning does not establish compliance or technical assurance for a deployed system.
How you can study
Fully virtual live online or self-paced options are subject to current availability. Confirm software access and any optional assessment or mentoring before enrolment.
Career relevance and recognition
Develop capability relevant to digital business, analysis or operational contributions. This short course does not guarantee employment, investment returns or an automatic vendor qualification. Ask RDE what completion recognition applies.
Progression options
Explore a related course for complementary or deeper learning. Its enrolment and duration remain separate.
Your next step
Register your interest to discuss your goals, starting level and current availability. Content reviewed 7 October 2026.