How Machine Learning Learns
See how AI learns from examples and how to check whether its predictions are useful.
View Course →AI For Materials Discovery
Explore how AI helps search for materials and why promising predictions still need synthesis, testing and manufacturing checks.
AI Foundations is useful starting knowledge. Specialist terms will be explained through examples; coding is not required for the introductory course.
Planned Topics
- Materials, Structures And Properties
- Representing Materials For AI
- Searching And Comparing Candidates
- Predicted Stability And Experimental Evidence
- Synthesis, Scale And Manufacturing
- Assess A Materials 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.
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