COURSE GUIDE
Choose a level Explore model internals, creative production and accessible communication. Go deeper into retrieval, agents, evaluation, local inference and specialist AI methods. Each specialist course includes worked examples, exercises, a scored knowledge check and a Word workbook.
Foundation courses need no technical background. Intermediate courses assume some practice. Advanced courses explain design and evaluation decisions; you can complete the written exercises without installing software.
↗ Workplace essentials Foundation
Check AI answers before you rely on them. Practise five checks, inspect original sources and leave a useful verification record.
Anyone whose work other people rely on
Explore 12 lesson topics A fluent answer is not evidence Where it fails most The confirmation trap Checks one and two: specifics and sources Checks three and four: the premise and the counter-case Check five: the second opinion Ask for sources the right way Spotting the fake Working from sources, not toward them Low, medium, high The trail When you find it wrong ↗ Workplace essentials Foundation
Decide what information you can use with an AI tool at work. Build a practical rulebook around approved accounts, data and review.
Anyone using AI tools at work in the UK
Explore 11 lesson topics The four things a tool can do with your text Consumer, business, internal: three different tools with the same name The two-second question Green: public and general Amber: personal or commercial, but redactable Red and black: never, and never without a policy Redaction that keeps the meaning The settings that matter Match the tool to the band Writing the page Showing it, and keeping it alive ↗ Workplace essentials Foundation
Build a shared assistant for repeated team questions, with owned sources, useful tests and a clear route to a person.
Team leads, EAs, office and operations managers
Explore 12 lesson topics Two weeks of tallying Sort the list What good looks like Find and audit what exists Write down what only you know Structure for a machine Choose the tool you already have Instructions that keep it honest Test against the tally The monthly ten minutes The feedback loop Make it the team's to k en i se TEXT → UNITS → PATTERNS ↗ Foundations Foundation
Understand tokens, context, embeddings and model adaptation through small experiments.
No technical background needed.
Explore 5 lesson topics Tokens, spelling and the price of long inputs Context windows and forgotten instructions Embeddings: similar does not mean equivalent Sampling and repeatability Prompting, retrieval and fine-tuning Download Word workbook to k en i se TEXT → UNITS → PATTERNS ↗ Prompting Foundation
Build testable instructions, examples and output contracts without relying on magic wording.
Comfortable writing a simple AI request.
Explore 5 lesson topics Turn a vague request into an acceptance test Few-shot examples and counterexamples Structured output is only the first check Decompose a task without multiplying mistakes Version prompts and keep a regression set Download Word workbook ↗ Data Intermediate
Explore missingness, leakage, class imbalance, synthetic data and causal claims.
Basic percentages; no coding required.
Explore 5 lesson topics Missing data is a question, not a zero Data leakage and tomorrow’s information Accuracy, precision and recall Synthetic data and circular evidence Before-and-after is not automatically causation Download Word workbook ↗ Retrieval Advanced
Investigate chunk boundaries, hybrid search, reranking and evidence tracing in RAG systems.
Read Inside language models first; understand basic document search.
Explore 5 lesson topics Chunk boundaries and orphaned exceptions Metadata filters and permission boundaries Hybrid search for names, codes and meaning Reranking and retrieval recall Claim-level grounding and citation checks Download Word workbook ↗ Automation Advanced
Explore tool contracts, MCP, prompt injection, retries and approval boundaries.
Complete Instruction design; understand inputs and outputs in a workflow.
Explore 5 lesson topics Workflow or agent: choose the control you need Tool contracts and MCP boundaries Prompt injection in retrieved material Retries, idempotency and duplicate actions Approval gates, logs and rollback Download Word workbook to k en i se TEXT → UNITS → PATTERNS ↗ Coding Intermediate
Use specifications, tests, debugging and dependency review to make AI coding work inspectable.
Able to read simple code; exercises can be completed as design reviews.
Explore 5 lesson topics Specify behaviour before generating code Give the assistant a repository map Test the bug, not the implementation Debug with a minimal reproduction Dependencies, diffs and reproducible handover Download Word workbook ↗ Multimodal Intermediate
Learn to inspect OCR, charts, transcripts, video summaries and cross-modal contradictions.
Comfortable checking a text answer against a source.
Explore 5 lesson topics OCR and reading order Charts: axes, units and visual persuasion Transcription, speakers and uncertain words Video sampling and missing moments Cross-modal contradictions and evidence priority Download Word workbook ↗ Creative Foundation
Plan visual briefs, reference consistency, local edits, storyboards and asset handovers.
No design software required for the planning exercises.
Explore 5 lesson topics Write an art direction brief Reference consistency and controlled variation Inpainting and local edits Storyboards and continuity Asset provenance and publication review Download Word workbook ↗ Evaluation Advanced
Build reference sets, calibrated rubrics, adversarial cases and useful release decisions.
Understand basic percentages and the distinction between sources and claims.
Explore 5 lesson topics Golden sets and test contamination Rubrics and disagreement between reviewers Pairwise comparisons and order effects Adversarial tests and subgroup failures Uncertainty, abstention and release decisions Download Word workbook ↗ Local AI Advanced
Understand quantisation, KV caches, latency, adapters and local deployment boundaries.
Complete Inside language models; basic familiarity with computer memory.
Explore 5 lesson topics Local inference and the real privacy boundary Quantisation and memory estimates KV caches and long-context memory Latency, throughput and the waiting user Adapters, fine-tuning and evaluation debt Download Word workbook ↗ Accessibility Foundation
Explore plain language, alt text, multilingual review, code-switching and assistive workflows.
No technical background needed.
Explore 5 lesson topics Plain language without losing the condition Alt text depends on purpose Translation, terminology and back-translation Code-switching, dialect and intent Assistive workflows and user control Download Word workbook ↗ Specialist Advanced
Explore niche AI patterns through forecasting, anomaly detection, graphs, active learning and scientific evidence.
Complete Data and measurement; no specialist software required for the exercises.
Explore 5 lesson topics Time-series forecasting and temporal leakage Anomaly detection and the alert burden Knowledge graphs and entity resolution Active learning and selective labelling Scientific claims, benchmarks and transfer Download Word workbook