This course offers a hands-on introduction to machine learning (ML) and artificial intelligence (AI) in bioinformatics. Designed for those with a working knowledge of Python (or similar languages), it focuses on the practical application of existing ML/AI tools to solve real-world biological data challenges.
You will explore how AI and ML are applied across a range of bioinformatics tasks and investigate the factors that influence their performance-such as data quality, integration, model explainability, ethical considerations, regulatory issues, and infrastructure. By the end of the course, you'll have the foundational skills to apply AI methods to biological data and evaluate their effectiveness in research and clinical contexts
Prerequisite Skills: Working knowledge of Python or similar programming language
