We start with how large language models work, where they are strong and where they can go wrong. This helps you understand when to trust Claude's answers, when to refine them and when to be sure to double-check the result.

You'll learn to write clear prompts, improve the first answer and analyse long documents and PDFs. You turn complex information into summaries, tables, comparisons and action plans.

In Projects you create a workspace built for your role, where Claude knows your goals, instructions and background materials. With Artifacts you turn ideas into documents, analyses and prototypes.

Result: a Project set up for your role, a practical prompt library, two completed work tasks and measured time saved.

Claude Cowork works with your files, folders and connected services and helps take a multi-step task from start to finish.

We start with using it securely. We set out which files and tools Claude can access, what it may do on its own and when it must ask you for confirmation.

You then build a Skill where you store your best instructions, company knowledge and work steps. You base it on one real recurring task, such as writing a report, processing documents, preparing for a meeting or creating a proposal.

Result: a working, shareable Skill, a repeatable workflow and a checklist for using it securely.

You'll learn to use Claude together with Outlook, Word, Excel, PowerPoint and Teams. We look at which tasks Claude helps you save time on, analyse information and make better decisions.

You create one analysis and one presentation with your own work data. We also compare Claude and Microsoft Copilot so you can choose the right tool for each task.

In the second half of the day we focus on data security and the AI Act. You classify the data used in your work and set out which information can be shared with Claude and which can't.

Result: AI usage rules, a data classification and a checklist for your Microsoft 365 setup.

We start by mapping a business problem. You choose one real problem from your work, explore how the process works today, where time is lost and what users actually need.

You then design a solution that is not only technically functional but also simple, understandable and visually professional. You'll learn to use AI to generate ideas, plan user journeys, build design systems and compare different solution options.

With Claude Design and Artifacts you create an interactive prototype that can be shown to colleagues, clients or management. We also think through how to develop and maintain the solution later, so it doesn't remain a one-off experiment.

Result: a mapped business problem, a well-thought-out solution design, a visual prototype and a clear plan for developing it further.

You describe what you need in natural language and use Claude Code to build a web app, an automation, an internal tool or a simple AI agent.

No prior programming experience is required. You'll learn to build, test and fix the solution step by step.

With MCP you connect the solution to your company's files, data sources and other tools. You set out what the agent may do on its own, when it must ask for confirmation and which data it may access.

Result: a solution that works with real data, a permissions setup and documentation for developing or handing over the solution.