Data: From Business Records To Model Inputs
See how business records become information an AI system can use, and why data quality matters.
Explore Outline →AI For Biology And Biomedical Discovery
Follow AI predictions about proteins, genomes and molecules through the experiments needed to establish useful results.
AI Foundations is useful starting knowledge. Specialist terms will be explained through examples; coding is not required for the introductory course.
Planned Topics
- Biological Questions And Data
- Proteins, Genomes And Molecular Models
- Prediction And Biological Context
- Experiments And Validation
- From Research To Health Applications
- Evaluate A Biomedical Discovery Case
Planned Practice And Learning Check
Practice: Develop an evidence-based case analysis: identify the problem, AI approach, supporting evidence, limitations, implementation needs and a justified next decision.
Learning Check: Explain which conclusions the evidence supports, what remains uncertain and what further validation or review is needed.
Teaching materials and assessments will be reviewed before lessons become available.
Related Courses
Multimodal AI: Images, Audio, Video, And Documents
Explore how AI works with pictures, sound, video and documents.
Explore Outline →Post-Training, Adaptation, And Evaluations
Learn how models are adapted for particular tasks and checked before release.
Explore Outline →AI Security, Safety, And Governance
Identify ways an AI system can cause harm or be misused, and how organisations manage those risks.
Explore Outline →