The vocabulary the exams and the daily work both assume you already have. Every entry gives the definition, the source it is drawn from, and the misreadings that follow from getting it wrong.
94 concepts in Artificial Intelligence, page 5 of 5
Four risk tiers, what each obliges, where the timeline stands after the 2026 amendments, and how a team works out which tier a feature falls into before somebody else does.
Artificial Intelligence
Infrastructure, models, platforms, agents and applications, and why the layer an organisation buys at decides what it is responsible for.
Artificial Intelligence
The seven stages that carry a foundation model from raw data to a system in use, and which five of them a team building on somebody else's model actually owns.
Artificial Intelligence
The stages between a business question and a model in production, why the work does not stop at deployment, and where each cloud vendor's tooling sits along the line.
Artificial Intelligence
Four functions, govern, map, measure and manage, the seven characteristics of a trustworthy system, and why the voluntary framework is worth more to a product team than the law it is not.
Artificial Intelligence
The industry's shared list of what goes wrong in applications built on large language models, what the 2026 edition reordered and why, and what the list cannot say about a particular system.
Artificial Intelligence
Why an accurate model nobody can explain is sometimes the wrong choice, the difference between the two words, and what a model card is for.
Artificial Intelligence
The three kinds of risk the field separates, why each of them requires a different remedy, and where the disagreements inside the field actually lie.
Artificial Intelligence
Understand how AI agents use tools, how agents differ from fixed workflows and why read access, write permissions and execution controls matter.
Artificial Intelligence
The capabilities worth building on, the failure modes that are properties of the technology and will outlast any model, and how to tell a suitable problem from an unsuitable one.
Artificial Intelligence
Understand prompt engineering with examples of zero shot and few shot prompting, prompt templates, chain of thought, evaluation and common security risks.
Artificial Intelligence
Learn how RAG works, from chunking and embeddings to hybrid search, reranking and evaluation, with clear distinctions between recall and hit rate.
Artificial Intelligence
The decision that prevents more harm than any control does, and the four situations where the honest answer is that this should not be built.
Artificial Intelligence
The layers that actually govern an AI system, from law written long before it existed to the frameworks a company writes for itself.
Artificial Intelligence