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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
- Fundamentals of data handling and identifying sensitive information to avoid uploading
Projects
- Defining Project instructions and knowledge files
- Structuring context for team collaboration
- Exercise: Building a project for a real team process
- Managing sharing, permissions and content currency
Skills
- Understanding Skills and when they outperform long prompts
- Writing effective Skills: instructions, examples, and resources
- Testing Skills against real-world scenarios
- Exercise: Packaging a recurring task as a Skill
Artifacts
- Creating documents, tables, web pages and small tools as Artifacts
- Refining results through iterative feedback
- Exercise: Transforming a raw spreadsheet into a report with charts
Analysis and Quality Control
- Analyzing files and tables effectively
- Verifying figures, sources and logical consistency
- Identifying typical error patterns and methods to detect them
Team Rollout
- Establishing naming, versioning and ownership standards for shared assets
- Training colleagues and gathering feedback
- Developing an action plan for the first 30 days
Requirements
- Basic familiarity with chat-based AI assistants
- Standard office skills (documents, spreadsheets, e-mail)
- No programming experience is required
Audience
- Business teams and department leads seeking to share knowledge and working methods using 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
