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Course Outline

 

Phase 1 — Getting Started with Claude Code — 30 minutes

  • An overview of Claude and the distinctions between Claude Code and standard chat
  • Initial orientation: focusing on the Claude app (web or desktop) for today’s session; the CLI and other interfaces are detailed in the reference card
  • Interface walkthrough: initiating coding sessions and navigating the workspace
  • Understanding Claude Code’s logic: the describe → plan → act → review cycle
  • Permissions explained: the rationale behind Claude seeking confirmation before creating files or executing code
  • First project: instructing Claude to generate a simple styled webpage from a single-sentence description
  • Refining outputs: issuing instructions such as “resize the header,” “update the color palette,” or “insert a navigation bar”
  • Guided exercise: participants initiate a session to create a personalized “About Me” webpage, improving it through subsequent instructions

Objective: overcome initial barriers and gain comfort with the interface.

Break — 7 minutes

Phase 2 — Creating Practical Applications with Natural Language — 55 minutes

Three tasks of increasing complexity, driven solely by natural language prompts.

  • Task 1 — Interactive dashboard: a styled dashboard incorporating sample data, charts, and statistics. Focus on providing design directives like “apply a dark theme,” “include a sidebar,” or “ensure responsiveness.”
  • Task 2 — Data analysis: supply a sample CSV and request that Claude summarize data, identify trends, detect peaks and troughs, and generate visual charts. This demonstrates Claude writing and executing code on your behalf.
  • Task 3 — Automation tool: develop a simple utility such as a unit converter, quiz application, or budget calculator. This introduces the concept of Claude building interactive tools rather than static pages.

Following each task, the instructor will explain the backend processes: files created, code generated, and how to interpret outputs. Participants will record their most effective prompts in a shared Prompt Playbook.

Break — 7 minutes

Phase 3 — Optimizing Claude Code Usage — 35 minutes

  • Effective prompting techniques: contrasting specific versus vague instructions
  • Live demonstration: comparing weak and strong prompts on the same task side-by-side
  • Iteration and refinement: requesting explanations, reverting changes, or exploring alternative approaches
  • Handling uploaded files: tasks such as “read and summarize this document” or “convert this spreadsheet into a chart”
  • Multi-step workflows: linking requests to generate complex outputs
  • Cost and usage insights: understanding tokens, context windows, and subscription tiers
  • Distinguishing when to use Claude Code versus standard Claude chat
  • Guided exercise: participants extend a Phase 2 project with new features using multi-step prompts, then analyze the difference between initial and refined prompts

Objective: transition from “it works” to “achieving consistent high-quality results.”

Break — 7 minutes

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

Pre-class preparation: participants received instructions to connect Gmail or Google Drive prior to the session, allowing class time to focus on utilization rather than authentication.

  • Overview of MCP (Model Context Protocol): the universal integration system for AI tools
  • The value of MCP: transforming Claude from a chat assistant into a central workflow hub
  • Connectors Directory: discovering and adding integrations directly within the Claude app
  • Desktop Extensions: one-click installation options (for Claude Desktop users)
  • Live demo (single workflow): “Check my Google Calendar for tomorrow’s meetings and draft a preparation email for each”
  • Guided exercise: participants utilize a pre-connected service (or connect one live) to assign a task to Claude, for example, “Read recent emails regarding project updates and create a summary document”
  • Core concepts: OAuth, permissions, managing tool access per conversation, security considerations, and locating new connectors

Objective: recognize Claude as a connective layer rather than just a coding tool.

Phase 5 — Capstone Project & 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 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 producing a final deliverable

The instructor will provide individual assistance, help refine prompts, and highlight exemplary outcomes.

Conclusion (10 min):

  • Next steps: Claude Code CLI for terminal users, VS Code extension for developers, and Cowork for knowledge workers
  • Subscription tiers: comparing Free, Pro, and Max to identify the best fit for specific use cases
  • Recommended resources: official documentation, Anthropic’s prompt engineering guide, and community forums
  • Participants will receive a reference card detailing prompting patterns, connector setup, and essential MCP integrations

 

Requirements

Requirements

Foundational Knowledge

  • Basic computer skills: managing files and folders, utilizing a web browser, and installing software
  • General familiarity with AI assistants (while prior casual use of ChatGPT, Gemini, or Claude is beneficial, it is not mandatory)

Background Experience

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

Technical Specifications

  • A laptop (Mac, Windows, or Linux) equipped with a current web browser
  • A reliable internet connection
  • A Claude Pro subscription for the duration of the session (a one-month gift subscription is included upon registration; setup instructions will be provided prior to class)
  • Claude Desktop is suggested but not essential (the claude.ai web app covers all exercises)
  • A Google account is advised for the MCP connectors exercise (Gmail, Google Drive, Google Calendar), though alternative connector options exist

Target Audience

  • Professionals seeking to enhance productivity and automation through AI
  • Marketers, operations managers, and analysts aiming to automate routine tasks
  • Founders and entrepreneurs looking to create prototypes without hiring developers
  • Educators and researchers investigating AI-supported workflows
  • Individuals with no technical background who are curious about Claude’s capabilities

 

 4 Hours

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