Courses
Trainings for every level
Take a single course or combine several into a programme for your organisation.
AI Foundations for Everyone
Any team, no technical background
What today's AI can and cannot do, how to use it safely at work, and where it saves time in your own role.
You will build
- A personal prompt library for your daily tasks
- A checklist for safe use of company data
- Three time-saving workflows you can use the next morning
Prompting and AI Productivity
Office, sales, marketing and operations teams
Practical prompting with the assistants your company already uses, from writing and summarising to analysis and research.
You will build
- Reusable prompt templates for your team
- A structured way to check AI answers
- An assistant set up for one real task of yours
Building with LLM APIs
Software developers
Calling large language models from code: structured output, tool use, streaming, cost control and error handling.
You will build
- A working API integration in your language
- Tool calling against a sample internal system
- Tests and evaluations for model output
AI on Your Own Documents (RAG)
Developers and data teams
Grounding answers in your documents with retrieval: chunking, embeddings, vector search, citations and quality checks.
You will build
- A searchable knowledge assistant over sample documents
- Answers with source citations
- An evaluation set to measure answer quality
AI Agents and Automation
Developers, IT and automation teams
Designing agents that plan, use tools and complete multi-step work, with guardrails, approvals and monitoring.
You will build
- An agent that completes a multi-step business task
- Human approval steps for risky actions
- Logging and limits you can show to security
AI-Assisted Software Development
Developers and engineering leads
Working with AI coding assistants such as Claude Code and GitHub Copilot: planning, writing, testing and reviewing code with AI in the loop.
You will build
- A feature built end to end with an AI assistant
- Project rules that keep the assistant on track
- A review routine for AI-written code
Responsible AI, Security and Governance
IT, security, legal and compliance
The risks that matter in practice, from data leakage and prompt injection to bias, and the policies and controls that address them.
You will build
- A draft AI use policy for your organisation
- A risk register for your AI use cases
- Controls mapped to your existing security practice
AI Strategy for Leaders
Executives and managers
Finding the AI use cases worth funding, judging build versus buy, and planning a rollout people will actually adopt.
You will build
- A ranked list of AI opportunities in your business
- A simple business case template
- A first 90-day rollout plan