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Duration 7 hours
Course Outline
Introduction
- Understanding Claude 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
- Managing project instructions and knowledge files
- Organizing context for team efficiency
- Exercise: Building a project for an actual team process
- Handling sharing, permissions, and keeping content up-to-date
Skills
- Defining a Skill and determining when it is preferable to a lengthy prompt
- Authoring 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 lightweight tools as Artifacts
- Refining outputs through iterative feedback
- Exercise: Converting a raw spreadsheet into a report with charts
Analysis and Quality Assurance
- Analyzing files and tabular data
- Verifying figures, sources, and logical consistency
- Identifying common error patterns and methods for detection
Team Deployment
- Establishing naming, versioning, and ownership protocols for shared assets
- Training colleagues and gathering feedback
- Developing a 30-day action plan
Requirements
- Basic familiarity with chat-based AI assistants
- Proficiency in standard office tools (documents, spreadsheets, email)
- No programming experience required
Target Audience
- Business teams and department leaders aiming to share knowledge and workflows via 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
