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Duration 7 hours
Course Outline
Introduction
- How Claude operates 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
- Setting up Project instructions and knowledge files
- Organizing context for team efficiency
- Exercise: Creating a project for a real team process
- Managing sharing, permissions, and content currency
Skills
- Understanding Skills and when they outperform long prompts
- Authoring Skills: instructions, examples, and resources
- Testing Skills against real-world scenarios
- Exercise: Packaging a recurring task as a Skill
Artifacts
- Using Artifacts for documents, tables, web pages, and mini-tools
- Refining outputs through iterative feedback
- Exercise: Converting a raw spreadsheet into a chart-based report
Analysis and Quality Control
- Analyzing files and tabular data
- Validating figures, sources, and logic
- Identifying and correcting common error patterns
Team Rollout
- Establishing naming, versioning, and ownership for shared assets
- Onboarding colleagues and gathering feedback
- Developing a 30-day action plan
Requirements
- Familiarity with chat-based AI assistants
- Proficiency with standard office tools (documents, spreadsheets, email)
- No programming background required
Target Audience
- Business teams and department leaders seeking to leverage Claude for knowledge sharing and workflow standardization
- 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
