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Duration 7 hours
Course Outline
Introduction
- Understanding Claude at the company 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 an actual team process
- Managing sharing, permissions, and content updates
Skills
- Defining a Skill and identifying when it is more effective than a long prompt
- Writing a Skill: instructions, examples, and resources
- Testing Skills against real-world scenarios
- Exercise: Package a recurring task as a Skill
Artifacts
- Using documents, tables, web pages, and small tools as Artifacts
- Refining results through 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 how to detect them
Team Rollout
- Establishing naming, versioning, and ownership protocols for shared assets
- Training colleagues and gathering feedback
- Creating an action plan for the first 30 days
Requirements
- Basic experience using a chat-based AI assistant
- Familiarity with everyday office skills (documents, spreadsheets, e-mail)
- No programming experience required
Audience
- Business teams and department leaders aiming to share knowledge and workflows via 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
