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Course Outline

 

Phase 1 — Introduction to Claude Code — 30 minutes

  • Overview of Claude and the key distinctions between Claude Code and standard chat interfaces
  • Orientation: Focusing on the Claude app (web or desktop) for this session; CLI and other interfaces are detailed in the reference materials
  • Interface walkthrough: Initiating coding sessions and navigating the workspace
  • The Claude Code logic: The describe → plan → act → review cycle
  • Permission management: The rationale behind Claude requesting approval before file creation or code execution
  • Initial build exercise: Instructing Claude to generate a simple, styled webpage based on a single sentence description
  • Refining outputs: Iterative adjustments such as enlarging headers, altering color schemes, or adding navigation bars
  • Guided practice: Participants launch a session to create a personalized “About Me” page, iterating on the design through follow-up prompts

Objective: To ensure all participants overcome initial barriers and feel at ease with the interface.

Break — 7 minutes

Phase 2 — Creating Real Solutions with Natural Language — 55 minutes

Three tasks of increasing complexity, executed entirely through natural language prompts.

  • Task 1 — Interactive dashboard: Creating a styled dashboard with sample data, charts, and statistics. Practicing design direction prompts like “apply a dark theme,” “insert a sidebar,” or “ensure responsive design.”
  • Task 2 — Data analysis: Uploading a sample CSV file to ask Claude for summaries, trend identification, peak/trough analysis, and visual chart generation. This demonstrates Claude's ability to write and execute code on your behalf.
  • Task 3 — Automation utility: Developing a simple tool such as a unit converter, quiz app, or budget calculator. This highlights Claude's capacity to build interactive applications beyond static pages.

Following each task, the instructor examines the background actions: files generated, code produced, and interpreting outputs. Participants log their most effective prompts in a shared Prompt Playbook.

Break — 7 minutes

Phase 3 — Optimizing Interactions with Claude Code — 35 minutes

  • Prompting mastery: Differentiating between specific and vague instructions
  • Live comparison: Analyzing weak versus strong prompts applied to the same task
  • Iteration and refinement: Requesting explanations for choices, reverting changes, or exploring alternative approaches
  • File integration: Instructing Claude to summarize uploaded documents or convert spreadsheets into visual data
  • Complex workflows: Chaining multiple requests to construct sophisticated outputs
  • Resource management: Understanding tokens, context windows, and subscription tiers
  • Tool selection: Determining when to use Claude Code versus standard Claude chat
  • Guided practice: Participants enhance a Phase 2 project with a new feature using multi-step prompts, then analyze the impact of prompt adjustments

Objective: To evolve from “it works” to achieving consistent, high-quality results.

Break — 7 minutes

Phase 4 — Integrating Claude with Your Tools via MCP — 34 minutes

Preparation: Participants receive instructions to connect Gmail or Google Drive prior to the session, allowing class time to focus on utilizing the connection rather than setup.

  • Understanding MCP (Model Context Protocol): The universal integration standard for AI tools
  • The value of MCP: Transforming Claude from a chat assistant into a central hub for connected workflows
  • Connector Directory: Discovering and adding integrations directly within the Claude app
  • Desktop Extensions: One-click installations (for Claude Desktop users)
  • Live demonstration (single workflow): “Review tomorrow's meetings on Google Calendar and draft preparation emails for each”
  • Guided practice: Participants use their pre-connected service (or establish a live connection) to assign a task, e.g., “Summarize recent project update emails into a document”
  • Core concepts: OAuth, permissions, managing access per conversation, security best practices, and locating new connectors

Objective: To perceive Claude as a connective layer for business processes, not solely a coding assistant.

Phase 5 — Capstone & Conclusion — 35 minutes

Capstone mini-project (25 min): Participants select one scenario:

  1. A refined landing page or portfolio site
  2. A data analysis pipeline: Uploading a file, analyzing it, and generating a visual report
  3. An interactive tool addressing a specific workflow challenge
  4. A connected workflow: Retrieving data from a Phase 4 service, processing it, and creating a final deliverable

The instructor provides support by circulating, refining prompts, and highlighting notable examples.

Conclusion (10 min):

  • Next steps: Claude Code CLI for terminal users, VS Code extension for developers, and Cowork for knowledge workers
  • Subscription plans: Comparing Free, Pro, and Max tiers, their respective capabilities, and ideal use cases
  • Recommended resources: Official documentation, Anthropic's prompt engineering guide, and community forums
  • Takeaways: Participants receive a reference card detailing prompting patterns, connector setup, and essential MCP integrations

 

Requirements

Prerequisites

Familiarity with

  • Basic computer literacy: Navigating file systems, using web browsers, and installing applications
  • General knowledge of AI assistants (e.g., prior casual use of ChatGPT, Gemini, or Claude is beneficial but not mandatory)

Prior Experience

  • No coding, programming, or terminal experience is needed. This course is tailored for individuals who have never written code.
  • No previous exposure to Claude or any AI tools is required.

Technical Specifications

  • A laptop (Mac, Windows, or Linux) equipped with a modern web browser
  • A reliable internet connection
  • A Claude Pro subscription for the session (a 1-month gift subscription is included upon registration; setup instructions are provided prior to class)
  • Claude Desktop is suggested but optional (the web app at claude.ai is sufficient for all exercises)
  • A Google account is recommended for the MCP connectors exercise (Gmail, Google Drive, Google Calendar), though alternative connector options exist

Target Audience

  • Business professionals seeking to enhance productivity and automation with AI
  • Marketers, operations managers, and analysts aiming to automate repetitive tasks
  • Founders and entrepreneurs looking to build prototypes without hiring a developer
  • Educators and researchers exploring AI-assisted workflows
  • Individuals curious about Claude's capabilities who lack a technical background

 

 4 Hours

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