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Course Outline

 

Phase 1 — Introduction to Claude Code — 30 minutes

  • An overview of what Claude is and how Claude Code differs from standard chat interfaces
  • Quick orientation: the course uses the Claude app (web or desktop) for today’s session; the CLI and other interfaces are detailed in the reference card
  • Interface tour: initiating a coding session and understanding the workspace
  • How Claude Code operates: the describe → plan → act → review cycle
  • Understanding permissions: why Claude seeks confirmation before creating files or executing code
  • First build exercise: asking Claude to create a simple styled webpage based on a single-sentence description
  • Refining results: instructions such as “make the header larger,” “change the color scheme,” or “add a navigation bar”
  • Guided exercise: Participants start a session and build a personalized “About Me” webpage, refining the output through follow-up instructions

Objective: Ensure everyone overcomes the initial interaction barrier and feels comfortable with the interface.

Break — 7 minutes

Phase 2 — Creating Real Applications with Plain English — 55 minutes

Three tasks of increasing complexity, accomplished using only natural language prompts.

  • Task 1 — Interactive dashboard: Create a styled dashboard with sample data, charts, and statistics. Practice providing design direction such as “use a dark theme,” “add a sidebar,” or “make it responsive.”
  • Task 2 — Data analysis: Provide a sample CSV file and ask Claude to summarize it, identify trends, find high and low points, and generate a visual chart. This demonstrates Claude writing and executing code on your behalf.
  • Task 3 — Automation tool: Build a simple utility such as a unit converter, quiz app, or budget calculator. This introduces the concept that Claude can create interactive tools, not just static pages.

After each task, the instructor highlights Claude’s backend actions: files created, code written, and how to interpret the output. Participants record their most effective prompts in a shared Prompt Playbook.

Break — 7 minutes

Phase 3 — Optimizing Workflows with Claude Code — 35 minutes

  • The art of effective prompting: specific versus vague instructions
  • Live demo: Side-by-side comparison of weak versus strong prompts for the same task
  • Iterating and refining: Asking Claude to explain choices, undo changes, or try alternative approaches
  • Working with uploaded files: Commands like “read this document and summarize it” or “convert this spreadsheet into a chart”
  • Multi-step workflows: Chaining requests to produce complex outputs
  • Understanding costs and usage: How tokens, context windows, and subscription tiers function
  • Determining when to use Claude Code versus standard Claude chat
  • Guided exercise: Participants extend a Phase 2 project with a new feature using a multi-step prompt, then compare pre- and post-prompts to identify key differences

Objective: Progress from “it works” to “I can consistently achieve excellent results.”

Break — 7 minutes

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

Pre-class preparation: Participants received instructions via email to connect Gmail or Google Drive before the session, allowing classroom time to focus on utilizing the connection rather than authentication.

  • What is MCP (Model Context Protocol)? The universal integration system for AI tools
  • The importance of MCP: Transforming Claude from a chat assistant into a connected workflow hub
  • The Connectors Directory: Browsing and adding integrations directly within the Claude app
  • Desktop Extensions: One-click installations (for Claude Desktop users)
  • Live demo (single workflow): “Check my Google Calendar for tomorrow’s meetings and draft a prep email for each one”
  • Guided exercise: Participants use their pre-connected service (or connect one live) to assign a task to Claude — for example, “Read my recent emails about project updates and create a summary document”
  • Key concepts: OAuth, permissions, managing tool access per conversation, security awareness, and locating new connectors

Objective: Participants will view Claude as a connective layer, rather than just a coding tool.

Phase 5 — Capstone & Conclusion — 35 minutes

Capstone mini-project (25 min): Each participant selects one scenario:

  1. A polished landing page or portfolio site
  2. A data analysis pipeline: uploading a file, analyzing it, and producing a visual report
  3. An interactive tool solving a real problem within their workflow
  4. A connected workflow: pulling data from the service connected in Phase 4, transforming it, and producing a deliverable

The instructor circulates to assist with prompt refinement and showcases outstanding examples.

Conclusion (10 min):

  • Next steps: Claude Code CLI for terminal users, the VS Code extension for developers, and Cowork for knowledge workers
  • Plans: Free versus Pro versus Max — what each tier unlocks and which suits specific use cases
  • Recommended resources: official documentation, Anthropic’s prompt engineering guide, and community channels
  • Participants leave with a reference card covering prompting patterns, connector setup, and useful MCP integrations

 

Requirements

Requirements

Understanding of

  • Basic computer literacy: navigating files and folders, using web browsers, and installing applications
  • General familiarity with AI assistant functions (e.g., having casual experience with ChatGPT, Gemini, or Claude is beneficial context, though not mandatory)

Experience with

  • No coding, programming, or terminal experience is necessary. This course is tailored for individuals who have never written a line of code.
  • Prior experience with Claude or any AI tool is not required.

Technical requirements

  • Participants should bring a laptop (Mac, Windows, or Linux) equipped with a modern web browser
  • A stable internet connection
  • A Claude Pro subscription for the duration of the session (a one-month gift subscription is included with course registration; setup instructions are sent prior to class)
  • Claude Desktop is suggested but not mandatory (the web app at claude.ai is sufficient for all exercises)
  • A Google account is recommended for the MCP connectors exercise (covering Gmail, Google Drive, and Google Calendar), although alternative connector options are available

Audience

  • Business professionals aiming to leverage AI for productivity and automation
  • Marketers, operations managers, and analysts seeking to automate repetitive tasks
  • Founders and entrepreneurs wishing to create prototypes without hiring a developer
  • Educators and researchers exploring AI-assisted workflows
  • Any individual curious about Claude’s capabilities who lacks a technical background

 

 4 Hours

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