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Duration 7 hours
Course Outline
Introduction
- Understanding Claude's capabilities at the enterprise level: chat, Projects, Skills, and Artifacts
- Selecting the appropriate feature for specific tasks
- Essential data handling practices and identifying sensitive information to avoid uploading
Projects
- Configuring project instructions and knowledge files
- Organizing context for team use
- Practical exercise: constructing a project for an actual team process
- Managing sharing, permissions, and content freshness
Skills
- Defining Skills and determining when they are preferable to lengthy prompts
- Authoring a Skill: covering instructions, examples, and resources
- Validating Skills against real-world scenarios
- Practical exercise: encapsulating a recurring task as a Skill
Artifacts
- Creating Artifacts in the form of documents, tables, web pages, and simple tools
- Refining outputs through iterative feedback
- Practical exercise: converting 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 strategies to detect them
Team Deployment
- Establishing naming conventions, version control, and ownership for shared assets
- Onboarding colleagues and gathering feedback
- Developing an action plan for the first 30 days
Requirements
- Familiarity with using a chat-based AI assistant
- Proficiency in standard office tasks (managing documents, spreadsheets, and email)
- No programming background is necessary
Target Audience
- Business teams and department leaders looking to share knowledge and workflows via Claude
- Knowledge workers in sectors such as 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
