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Duration 7 hours
Course Outline
Introduction
- How Claude functions at the company level: chat, Projects, Skills, Artifacts
- Selecting the appropriate feature for specific tasks
- Fundamentals of data handling and identifying restricted uploads
Projects
- Project instructions and knowledge files
- Organizing context for team use
- Exercise: Create a project for an actual team process
- Sharing, permissions, and maintaining current content
Skills
- Definition of a Skill and cases where it outperforms lengthy prompts
- Crafting a Skill: instructions, examples, and resources
- Testing Skills against real-world scenarios
- Exercise: Package a recurring task as a Skill
Artifacts
- Creating Artifacts including documents, tables, web pages, and small tools
- Refining results through feedback iterations
- Exercise: Transform a raw spreadsheet into a report with charts
Analysis and Quality Control
- Analyzing files and data tables
- Verifying figures, sources, and logical consistency
- Common error patterns and methods to detect them
Team Rollout
- Naming, versioning, and ownership of shared assets
- Training colleagues and gathering feedback
- Action plan for the first 30 days
Requirements
- 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 methodologies 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
