Domain 04
Artificial Intelligence (AI)
Where AI genuinely helps, where it does not, and how to build systems that use it responsibly — the conceptual grounding the other AI domains assume you already have.
Learning objectives
What you will be able to do.
- Explain how a modern AI system arrives at an output
- Identify problems AI suits, and problems it does not
- Build a working application on top of an AI capability
- Reason about bias, reliability and failure modes
- Evaluate an AI system rather than trusting the demo
Who this is for
- Learners who want to understand AI properly before specialising
- Students from non-computing backgrounds moving into technology
Prerequisites: Basic programming familiarity is useful
Tools and technologies
- Python
- NumPy
- Pre-trained model APIs
- Jupyter
- Git
Roles this prepares you for
- AI Associate
- Applied AI Developer
- AI Product Analyst
Curriculum
5 modules, in the order they build on each other.
Each module ends in something you have made work, not just something you have watched.
- 01
Foundations
- What AI is, and what it is not
- Search, rules and learning
- Representing knowledge and state
- How the field got here
- 02
Learning systems
- Supervised and unsupervised learning
- Neural networks conceptually
- Training, inference and generalisation
- Where models fail
- 03
Applied AI
- Working with pre-trained models
- Inference APIs and services
- Building an AI-backed feature
- Latency, cost and reliability
- 04
Responsible AI
- Bias and dataset provenance
- Interpretability
- Human oversight and escalation
- Privacy considerations
- 05
Evaluation
- Defining success for an AI system
- Test sets and benchmarks
- Monitoring after release
Practical work
What you could build in this domain.
Project briefs are agreed with your mentor at the start, so the work suits the level you are actually at.
- 01
An AI-assisted triage tool with a human review step
- 02
A classifier with an honest evaluation report
- 03
A comparison study of two models on the same task
Programs
How to study Artificial Intelligence.
The same domain, in the format that fits your situation.
Artificial Intelligence is delivered as a Professional Technology Track — a focused pathway through this domain rather than a scheduled cohort program. Talk to a counsellor about how it can be structured around what you already know.
Keep looking
Other domains.
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