All courses

Technical AI

For AI and ML engineers, software and embedded developers and edge architects.

Technical AI

For analysts, operations staff, developers and IT professionals.

Technical AI

For SOC analysts and engineers, threat intelligence analysts, security architects and IT administrators.

Technical AI

For Python developers and full stack engineers.

Technical AI

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

Technical AI

For developers, ML engineers, DevOps professionals and tech leads who use a coding agent.

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.

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.

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 cloud, platform and backend engineers whose organisation runs AWS, Azure or Google Cloud.

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 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.

Technical AI

For software engineers who want to ship real work through Kiro, the agentic IDE from AWS.

Claude AI

Build one customer service feature on the Claude API from a first call to a tested service: conversations, model choice, streaming, tools, structured output, images and PDFs, caching, batches, thinking and effort, errors and rate limits.

Claude AI

Automate Claude Code for a team: skills, hooks, headless runs with the print flag, CI review, verification receipts, plugins and shared MCP servers, built around one nightly upgrade job.

Technical AI

For engineers who have shipped an LLM demo and now own it in production.

AI Literacy

Use GitHub Copilot, with Cursor AI and Claude Code compared, to build real interfaces faster without losing accessibility, responsiveness or your own judgement: prompt for design to code, read and fix what comes back, build semantic HTML, CSS and Bootstrap layouts, JavaScript forms, React compone…

AI Literacy

Use AI across the whole testing lifecycle: draft test cases, scripts and defect reports with Microsoft Copilot, generate synthetic test data with Google AI Studio, manage requirements with NotebookLM, visualise coverage with Napkin AI, automate a real browser with Playwright, orchestrate workflow…

AI Literacy

Build a full-stack app on AWS with Kiro, the AI development environment AWS names as the successor to the Amazon Q Developer editor plugins (closed to new sign-ups since 15 May 2026, supported until 30 April 2027), and Amazon Bedrock.

AI for Business

Use AI across the product lifecycle: find opportunities, write prompts that hold up, draft requirements, recaps, forecasts and decks with Microsoft Copilot, design agent workflows, automate with Cursor, test with Claude Code, govern and scale AI use in a product team, and own an AI feature from t…

AI for Business

Assess your plant’s AI readiness, build a roadmap and business case, connect assistants to ERP and MES with MCP, use sensor data for maintenance and yield, train your workforce with AI, govern it securely and plan a Smart Factory blueprint.

Claude AI

Use Claude for everyday knowledge work, write prompts that hold up, automate a daily task with Claude Code, build React and Express apps on the Claude API with a fastai model beside it, and plan the onboarding and governance that make enterprise adoption stick.

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.

Claude AI

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

Claude AI

For working developers.