Course Contents
Context
- What Claude is and how it differs from Microsoft Copilot and ChatGPT
- When a general-purpose assistant is the right tool — and when it isn’t
- Accounts, plans and roles in the team: who can do what
- What happens to your input: data handling, retention, training
Mastering the Workspace
- Holding, branching and resuming conversations
- Projects as workspaces: shared knowledge for recurring topics
- Artifacts: creating and revising documents, spreadsheets and analyses directly in the conversation
- What Claude remembers over time and how you control it
Working with Your Own Documents
- Adding documents, spreadsheets and PDFs as a basis
- Having long texts summarised, compared and checked
- Requiring source references: making statements traceable
- Recognising limits: where results need to be checked
Automating Recurring Tasks
- Creating templates and custom instructions that the team can share
- Connecting to company systems: file storage, calendar, ticketing system, CRM
- What a connection grants access to — and who decides that
- Letting tasks run in the background instead of typing along step by step
Responsibility in Daily Operations
- Which data may be entered and which may not: personal data, customer data, confidential information
- The revised Data Protection Act and the EU AI Act in practice
- Three ground rules your team agrees on as binding
- Labelling results and keeping them traceable
Your Own Use Cases
- Workshop: you build templates for your three most common tasks
- Testing and improving each other’s work in the group
- A shared project as a starting structure for your team
Prerequisites
Confident use of the computer and standard office applications. No prior experience with AI assistants is required.
Target Audience
Specialists and managers who want to use Claude in their daily work or introduce it to their team. No programming skills required.
