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Duration 7 hours
Course Outline
Introduction
- How Claude functions at the organizational level: chat, Projects, Skills, and Artifacts
- Selecting the appropriate feature for specific tasks
- Basics of data handling and identifying what should not be uploaded
Projects
- Project instructions and knowledge files
- Structuring context for team collaboration
- Exercise: Create a project based on a real team process
- Sharing, permissions, and keeping content up to date
Skills
- Understanding what a Skill is and when it offers advantages over lengthy prompts
- Creating a Skill: instructions, examples, and resources
- Testing Skills against real-world scenarios
- Exercise: Package a recurring task into a Skill
Artifacts
- Using Artifacts for documents, tables, web pages, and small tools
- Iterating on results through feedback loops
- Exercise: Transform 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, versioning, and ownership of shared assets
- Training colleagues and gathering feedback
- Action plan for the initial 30 days
Requirements
- Foundational experience using chat-based AI assistants
- General office competencies (documents, spreadsheets, email)
- No programming background is necessary
Target Audience
- Business teams and department leaders seeking to share knowledge and workflows using Claude
- Knowledge workers in finance, HR, marketing, sales, and operations
- Team coordinators and internal AI advocates
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
