£950.00
This programme provides a practical introduction to machine learning for professionals who want to understand and apply data-driven methods in their organisations. Participants will learn the core ideas and workflows behind supervised and unsupervised learning and implement them through practical coding exercises. The emphasis is on developing intuition, interpretation and gain practical experience rather than mathematical and algorithmic detail. Using real-world examples such as price prediction, air-quality modelling, language analysis and anomaly detection participants will gain hands-on experience in building and evaluating ML models. Delivered live online, the course combines short lectures, guided coding sessions, and group discussions. By the end of the course, participants will be able to engage confidently and critically with technical teams, assess machine learning opportunities in their organisations, and initiate small-scale ML projects within their own professional roles.
