Practical Prompt Engineering (Beginner)
Wednesday, August 19th, 2026
This course is a practical introduction to prompt engineering. It is designed for learners at a beginner level who want to move from scattered knowledge to a clear, usable understanding they can apply straight away.
Across 5 lessons you will work through the core ideas step by step, with short exercises after each section so you can check your understanding as you go rather than at the very end.
What you’ll cover:
- How Language Models Respond to Input
- Structure, Context and Constraints
- Few-Shot and Role Prompting
- Chaining and Tool Use
- Evaluating and Iterating on Prompts
By the end you should be comfortable enough with prompt engineering to keep learning on your own, and to apply what you have covered in a real data context. No prior specialist background is assumed beyond basic familiarity with the subject area.
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Machine Learning Foundations
Wednesday, August 19th, 2026
This course is a practical introduction to machine learning. It is designed for learners at a intermediate level who want to move from scattered knowledge to a clear, usable understanding they can apply straight away.
Across 5 lessons you will work through the core ideas step by step, with short exercises after each section so you can check your understanding as you go rather than at the very end.
What you’ll cover:
- Supervised Versus Unsupervised Learning
- Features, Labels and Splits
- Training Your First Model
- Evaluating Model Performance
- Overfitting and Regularisation
By the end you should be comfortable enough with machine learning to keep learning on your own, and to apply what you have covered in a real data context. No prior specialist background is assumed beyond basic familiarity with the subject area.
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