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 Duration 7 hours

Course Outline

Introduction

  • Understanding Claude at the enterprise level: chat interfaces, Projects, Skills, and Artifacts
  • Selecting the optimal feature for specific business tasks
  • Foundational data handling practices and guidelines on data sensitivity

Projects

  • Managing project instructions and knowledge repositories
  • Structuring context for effective team collaboration
  • Practical exercise: Establishing a project for a real-world team process
  • Managing sharing permissions and ensuring content currency

Skills

  • Defining Skills and determining when they surpass long-form prompts
  • Authoring Skills: incorporating instructions, examples, and resources
  • Testing Skills against real-world scenarios
  • Practical exercise: Converting a repetitive task into a reusable Skill

Artifacts

  • Generating documents, tables, web pages, and lightweight tools as Artifacts
  • Refining outputs through iterative feedback loops
  • Practical exercise: Converting a raw spreadsheet into a visual report with charts

Analysis and Quality Assurance

  • Techniques for analyzing files and tabular data
  • Verifying numerical accuracy, source integrity, and logical consistency
  • Identifying and mitigating common error patterns

Team Implementation

  • Establishing naming conventions, version control, and ownership for shared assets
  • Onboarding colleagues and gathering performance feedback
  • Developing a 30-day action plan for sustainable adoption

Requirements

  • Familiarity with chat-based AI assistants
  • Proficiency in standard office tasks, including document management, spreadsheets, and email
  • No coding experience is necessary

Target Audience

  • Business teams and department leaders aiming to leverage Claude for knowledge sharing and workflow standardization
  • Knowledge professionals in finance, HR, marketing, sales, and operations
  • Team coordinators and internal AI advocates

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