Understand AI Through Practical Learning
Explore artificial intelligence and machine learning through clear explanations, practical examples and hands-on model development and evaluation.
- AI fundamentals
- Machine learning
- Model evaluation
- Responsible AI
Who It's For
AI learning can start at a conceptual level. Prior Python or data knowledge is useful for more technical, hands-on learning.
- Students
- University learners
- Adult learners
- Professionals
- Python learners
- Beginners exploring AI
- Learners progressing from Data Science
What You'll Learn
Introductory and intermediate concepts, explained clearly. We don't claim to cover every area of AI.
- Understand what AI is and how machine learning fits within it
- Explore supervised and unsupervised learning
- Build and evaluate simple models
- Recognise overfitting and why generalisation matters
- Interpret what a model is doing and where it falls short
- Consider the responsible use of AI
Topics Covered
Topics are selected to suit each learner's background and goals.
Foundations
- What AI is
- Machine Learning fundamentals
- Introduction to modern AI concepts
Learning from Data
- Supervised learning
- Unsupervised learning
- Features and targets
- Classification
- Regression
Evaluating Models
- Training and testing
- Model evaluation
- Overfitting
- Generalisation
Understanding Models
- Model interpretation
- Responsible AI
Hands-on modelling generally uses Python. Beginners can focus on concepts first.
How Learning Works
- 1
Understand
Plain-language explanations of how AI and machine learning systems work.
- 2
Practise
Guided examples working with data and building simple models.
- 3
Apply
Evaluating and comparing models, and interpreting their results.
- 4
Review and reinforce
Discussing limitations and revisiting key ideas with feedback.
- Clear explanations
- Worked examples
- Guided practice
- Practical projects
- Model evaluation
- Feedback
Practical learning
Where appropriate, programmes may involve:
- Working with datasets
- Building models
- Evaluating models
- Comparing approaches
- Interpreting results
- Discussing limitations
Responsible AI
Understanding AI means understanding its limits. Learning includes the questions that matter when AI is used in the real world:
- Data quality
- Bias
- Evaluation
- Explainability
- Responsible use of AI
Learning Format
One-to-one
Personal sessions built around your goals, experience and pace.
Small group
Shared sessions where available. Ask about current options.
Live online
Work on code and data together in real time, from wherever you are.
In person
Possible in Bournemouth, Christchurch and Poole where arrangements allow.
- Pricing:
- On enquiry
- Schedule:
- Agreed during your free consultation
- Delivered by:
- ADEL Learning
What Progress Can Look Like
- A clearer understanding of how AI systems work
- Familiarity with core machine learning ideas
- Experience building and evaluating simple models
- Better judgement about AI's strengths and limitations
- A more informed, responsible approach to using AI
Progress depends on each learner. We don't guarantee specific grades, results or outcomes.
Frequently Asked Questions
Explore Related Learning
Ready to start learning?
Not sure which learning option is right for you? Book a free consultation and let's discuss your goals.