All courses

Technical AI

For Python developers who have called an LLM API.

Technical AI

For AI and ML engineers, data scientists and MLOps engineers who write Python.

Technical AI

For Python developers and full stack engineers.

AI for Business

Build Make scenarios that connect Google Workspace, Microsoft 365, webhooks and APIs, route and store data, add an AI step, handle errors and run on the Free plan.

Technical AI

For SAP functional consultants, BTP and ABAP developers, architects and centre of excellence leads.

Technical AI

For Java developers and full stack engineers who already write some Java.

Technical AI

For Python developers and automation engineers.

Technical AI

For data scientists, ML engineers, developers and analysts who write basic Python.

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.

Technical AI

For Python developers who build or inherit multi agent systems.

AI Governance

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

Technical AI

Take a business problem from raw data to a deployed, monitored model with scikit-learn.

Technical AI

For engineers and solution architects building on AWS.

Technical AI

For solution, software and cloud architects, technical leads and senior engineers who know APIs and one cloud.

AI Literacy

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

Technical AI

Use Python’s core data libraries to turn a messy business dataset into charts, findings and a first working model.

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.

Technical AI

For ML engineers, data scientists and developers who write Python.

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.

Technical AI

For DBAs, database engineers and SREs.

Technical AI

For data engineers and analytics engineers.

Technical AI

For back end and full stack developers who can write C# and have built a small web app.

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 for Business

Level 2 of the Microsoft Copilot path, between the free Copilot basics and the Copilot Studio course.

AI Literacy

For senior leaders whose organisation has run AI pilots and now has to scale them: measure value against a baseline, build a fundable business case with stage gates and kill criteria, choose a funding model, prioritise a portfolio, roll out in waves, design the operating model, control running co…

Technical AI

For Salesforce developers and technical admins who already write Apex and Lightning web components.

AI Governance

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

Technical AI

For data analysts and ML engineers who already call an LLM API and know eval basics.

AI for Business

For founders and team leads of 5 to 15 person teams: choose workflow or agent, set approvals by consequence, check your tools, connect one read only path, run a weekly ritual and measure net time.

Technical AI

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

Technical AI

For engineers who already know basic retrieval augmented generation.

Technical AI

For engineers who have shipped a single agent that calls tools.

Claude AI

For developers who already call the Claude API.

Claude AI

For developers who already use Claude Code and now run several sessions on one repository.

Claude AI

For working developers.

Technical AI

For engineers who ship a language model feature and edit its prompts by hand.

Technical AI

Build a tool-using agent with the Claude API, then make it safe to run: failure handling, step and spend caps, a gated MCP connection, trajectory evals and a staged release.