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Duration 7 hours
Course Outline
Introduction
- How Claude functions at the enterprise level: chat, Projects, Skills, and Artifacts
- Selecting the appropriate feature for specific tasks
- Basics of data handling and guidelines on what not to upload
Projects
- Project instructions and knowledge files
- Organizing context for team collaboration
- Exercise: Create a project for a real team process
- Managing sharing, permissions, and content currency
Skills
- Understanding what a Skill is and when it is preferred over long prompts
- Writing a Skill: instructions, examples, and resources
- Testing Skills against real-world cases
- Exercise: Package a recurring task as a Skill
Artifacts
- Creating documents, tables, web pages, and small tools as Artifacts
- Iterating on results based on feedback
- Exercise: Convert a raw spreadsheet into a report with charts
Analysis and Quality Control
- Analyzing files and tables
- Verifying figures, sources, and logic
- Identifying common error patterns and methods to detect them
Team Rollout
- Naming conventions, versioning, and ownership of shared assets
- Training colleagues and gathering feedback
- An action plan for the first 30 days
Requirements
- Basic familiarity with chat-based AI assistants
- Essential office skills (documents, spreadsheets, email)
- No programming experience required
Audience
- Business teams and department leads looking to share knowledge and workflows with Claude
- Knowledge workers in finance, HR, marketing, sales, and operations
- Team coordinators and internal AI champions
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt
