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 Duration 7 hours

Course Outline

Introduction

  • Understanding Claude at the enterprise level: chat, Projects, Skills, and Artifacts
  • Selecting the most appropriate feature for specific tasks
  • Foundations of data handling and guidelines on what should not be uploaded

Projects

  • Configuring project instructions and knowledge files
  • Organizing context for team-wide use
  • Practical exercise: constructing a project for an actual team workflow
  • Managing sharing, permissions, and keeping content up to date

Skills

  • Defining what a Skill is and when it outperforms a lengthy prompt
  • Developing a Skill: incorporating instructions, examples, and resources
  • Validating Skills against real-world scenarios
  • Practical exercise: encapsulating a recurring task as a Skill

Artifacts

  • Creating Artifacts from documents, tables, web pages, and small tools
  • Refining results 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 rollout

  • Establishing naming, versioning, and ownership protocols for shared assets
  • Training colleagues and gathering feedback
  • Formulating an action plan for the first 30 days

Requirements

  • Basic familiarity with chat-based AI assistants
  • Proficiency in everyday office tasks (documents, spreadsheets, email)
  • No prior programming experience is required

Audience

  • Business teams and department leaders looking to share knowledge and workflows with Claude
  • Knowledge workers in finance, HR, marketing, sales, and operations
  • Team coordinators and internal AI champions

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