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Duration 7 hours
Course Outline
Introduction
- Understanding Claude's enterprise capabilities: chat, Projects, Skills, and Artifacts
- Selecting the optimal feature for specific task requirements
- Essential data handling practices and guidelines on what to avoid uploading
Projects
- Configuring project instructions and uploading knowledge files
- Organizing contextual information for team efficiency
- Practical exercise: creating a project for a real-world team process
- Managing sharing permissions and ensuring content remains up to date
Skills
- Defining Skills and identifying scenarios where they outperform long prompts
- Crafting effective Skills: integrating instructions, examples, and resources
- Testing Skills against practical use cases
- Practical exercise: converting a recurring task into a standardized Skill
Artifacts
- Generating documents, tables, web pages, and lightweight tools as Artifacts
- Refining outputs through iterative feedback loops
- Practical exercise: transforming a raw spreadsheet into a chart-rich report
Analysis and Quality Control
- Techniques for analyzing files and tabular data
- Validating figures, sources, and logical consistency
- Identifying common error patterns and strategies for detection
Team Rollout
- Implementing naming conventions, version control, and ownership models for shared assets
- Training colleagues and gathering constructive feedback
- Developing a 30-day action plan for successful implementation
Requirements
- Foundational experience using a chat-based AI assistant
- Proficiency in standard office tasks, including document management, spreadsheets, and e-mail
- No programming background is necessary
Target Audience
- Business teams and department leaders seeking to leverage Claude for sharing knowledge and methodologies
- Knowledge workers in sectors such as 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
