All courses

AI Literacy

Produce the monthly management pack faster with AI while keeping it reconciled, defined and signed off: clean data, a KPI dictionary, commentary with a claims ledger, tested summaries, governance, and AI for reconciliation, payables, journals and finance risk.

AI for Business

Turn business data into a clear, honest story that leaders act on: frame it, use free AI tools to find and check the pattern, draw honest charts and dashboards, write answer first, and keep a record of what was checked.

AI Literacy

Prepare history you can forecast from, build driver-based budgets, back-test forecasts against a baseline, report them as ranges, run scenarios and govern the pack, using AI only where it helps.

AI Governance

Use AI assistants across a real project, from charter to close, without handing them the judgement.

AI Literacy

Use AI to research faster, check claims and media properly, and publish work you can stand behind.

AI for Business

Define your metrics, ask data questions of a table, verify every answer with golden questions, forecast with a named method, and finish with a dashboard and a decision memo that names the owner of each number.

AI Literacy

Plan and run an AI skills programme for a whole organisation: build a skills framework from real tasks, assess readiness, design role-based learning paths, roll them out with champions and managers, measure behaviour and results, meet the EU AI literacy duty, and write a one-page workforce plan.

AI for Business

Use AI assistants in airline, airport and maintenance work without letting them make the safety call: theme defect write-ups and safety reports you can trace, draft disruption notices from the published policy, judge predictive maintenance and scheduling claims, design a passenger assistant that…

AI for Business

Use AI across the medicines lifecycle the way regulators now expect, with evidence that matches what each use decides.

AI Governance

For product designers and product managers shipping AI features into regulated consumer flows.

Technical AI

For backend developers who have connected an MCP server to a host and now must ship one.

AI Governance

Build proportionate AI governance for delivery teams: risk lanes, a lightweight path with a register, a high risk gate, decision rights, a charter and a two sided scorecard, then a dated regulation map, data governance, monitoring, a maturity model and an ISO/IEC 42001 management system.

AI Literacy

For Python developers and ML engineers taking an LLM app to production.