AI Essentials
Understand AI, use it with confidence and stay safe.
Stories and guides, the Learning Hub, prompts, AI tools, the AI certificate and live events, in one place.
21 results for “Certificate”, showing certificate levels and units only. Search everything
21 results
Understand AI, use it with confidence and stay safe.
What people mean by AI, where you already meet it, and how an AI assistant comes up with its answers.
Starting a chat, asking a clear question, following up, and knowing which jobs suit an AI assistant.
A simple recipe for clear prompts, and how to improve an answer when the first one misses.
Why AI gets things wrong while sounding sure, and quick ways to check an answer before you rely on it.
What not to share with an AI assistant, the privacy settings worth knowing, and how to spot AI scams and fakes.
Using AI to write, plan, learn and get things done, fairly and in your own voice.
Get reliable, high-quality results from AI, at work and at home.
Models, apps and tools; context windows, memory and knowledge cutoffs; and why the same question gets different answers.
Roles, audiences, constraints and examples; breaking work into steps; and getting AI to critique and improve its own work.
Summarising and questioning long documents, pulling out what matters, and analysing data without being misled by it.
A routine for checking AI-assisted work, checking sources properly, and taking responsibility for what you publish or send.
Work policies, business and personal accounts, personal data under UK GDPR, copyright and confidentiality, and decisions about people.
Turning one-off chats into repeatable workflows, and measuring whether AI really saves time.
Build, buy and lead AI responsibly for a team or organisation.
Pretraining, fine-tuning and human feedback; tokens, context and reasoning; open and closed models; and why models fail.
Defining success, building a test set, comparing fairly, and keeping watch when models and prompts change.
Chains, workflows and agents; tools and connectors; where people approve; and the risks, from prompt injection to runaway actions.
Applying UK GDPR to AI, checking suppliers properly, and closing the common ways data leaks.
An AI policy and register that people use, proportionate risk assessment, and the legal landscape in the UK and EU.
Choosing use cases, running pilots that prove something, buying or building, and bringing people with you.