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Duration 7 hours
Course Outline
Introduction
- Understanding Claude at the enterprise level: chat, Projects, Skills and Artifacts
- Selecting the optimal feature for specific tasks
- Basics of data handling and guidelines on what not to upload
Projects
- Configuring project instructions and knowledge files
- Organizing context for team collaboration
- Exercise: Creating a project for a real-world team process
- Managing sharing, permissions and content currency
Skills
- Defining Skills and identifying scenarios where they outperform long prompts
- Writing Skills: incorporating instructions, examples and resources
- Testing Skills against real-world cases
- 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 tabular data
- Verifying figures, sources and logical consistency
- Identifying common error patterns and methods to detect them
Team Rollout
- Establishing naming, versioning and ownership protocols for shared assets
- Training colleagues and gathering feedback
- Developing an action plan for the first 30 days
Requirements
- Basic experience using a chat-based AI assistant
- Proficiency in everyday office tasks (documents, spreadsheets, e-mail)
- No programming experience required
Audience
- Business teams and department leaders aiming to share knowledge and workflows with Claude
- Knowledge professionals 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
