Course Outline
Phase 1 — Meet Claude Code — 30 minutes
- Overview of Claude and what distinguishes Claude Code from standard chat interfaces
- Quick orientation: using the Claude app today (web or desktop); CLI and other interfaces are covered in the reference card
- Interface tour: initiating a coding session and navigating the workspace
- Understanding Claude Code’s thought process: the describe → plan → act → review loop
- Understanding permissions: why Claude requests approval before creating files or executing code
- Your first build: instructing Claude to create a simple styled webpage based on a one-sentence description
- Iterating on results: examples such as “increase the header size,” “change the color scheme,” or “add a navigation bar”
- Guided exercise: participants initiate a session to build a personalized “About Me” webpage, refining it through follow-up instructions
Goal: ensuring everyone overcomes the initial learning curve and becomes comfortable with the interface.
Break — 7 minutes
Phase 2 — Building Real Things with Plain English — 55 minutes
Three progressively complex tasks using only natural language prompts.
- Task 1 — Interactive dashboard: creating a styled dashboard with sample data, charts, and statistics. Practice providing design direction: “apply a dark theme,” “add a sidebar,” or “make it responsive.”
- Task 2 — Data analysis: providing a sample CSV file, asking Claude to summarize the data, identify trends, find highs/lows, and generate a visual chart. This demonstrates Claude’s ability to write and execute code on your behalf.
- Task 3 — Automation tool: building 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 document their most effective prompts in a shared Prompt Playbook.
Break — 7 minutes
Phase 3 — Working Smarter with Claude Code — 35 minutes
- The art of effective prompting: differentiating specific instructions from vague ones
- 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 attempt alternative approaches
- Working with uploaded files: examples like “read this document and summarize it” or “convert this spreadsheet into a chart”
- Multi-step workflows: chaining requests to generate complex outputs
- Understanding cost and usage: how tokens, context windows, and subscription tiers function
- Distinguishing when to use Claude Code versus standard Claude chat
- Guided exercise: participants extend one of their Phase 2 projects with a new feature using a multi-step prompt, then compare before-and-after prompts to identify key differences
Goal: advancing from “It works” to “I can reliably achieve excellent results.”
Break — 7 minutes
Phase 4 — Connecting Claude to Your Tools with MCP — 34 minutes
Pre-class: participants received email instructions to connect Gmail or Google Drive before the session, allowing classroom time to focus on using the connection rather than authentication.
- What is MCP (Model Context Protocol)? The universal plug system for AI tools
- Why MCP matters: 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 installs (available for Claude Desktop users)
- Live demo (one workflow): “Check my Google Calendar for tomorrow’s meetings and draft a preparation email for each”
- Guided exercise: participants use their pre-connected service (or connect one live) to assign a task — e.g., “Read my recent emails about project updates and create a summary document”
- Key concepts: OAuth, permissions, managing tool access per conversation, security awareness, and where to find new connectors
Goal: helping participants view Claude as a connective layer rather than merely a coding tool.
Phase 5 — Capstone & Wrap-Up — 35 minutes
Capstone mini-project (25 min): Each participant selects one scenario:
- A polished landing page or portfolio site
- A data analysis pipeline: uploading a file, analyzing it, and producing a visual report
- An interactive tool addressing a real problem from their workflow
- A connected workflow: pulling data from the service connected in Phase 4, transforming it, and producing a deliverable
The instructor circulates to help refine prompts and showcases standout examples.
Wrap-up (10 min):
- Next steps: exploring the Claude Code CLI for terminal users, the VS Code extension for developers, and Cowork for knowledge workers
- Subscription plans: Free vs. Pro vs. Max — detailing what each unlocks and which fits specific use cases
- Recommended resources: official documentation, Anthropic’s prompt engineering guide, and community channels
- Participants receive a reference card covering prompting patterns, connector setup, and useful MCP integrations
Requirements
Prerequisites
Understanding Required
- Basic computer literacy: ability to navigate files and folders, use a web browser, and install applications
- General awareness of AI assistants (e.g., casual experience with ChatGPT, Gemini, or Claude is beneficial but not mandatory)
Experience Not Required
- No coding, programming, or terminal experience is needed. This course is specifically designed for individuals who have never written code.
- No prior experience with Claude or any other AI tool is necessary.
Technical Requirements
- A laptop (Mac, Windows, or Linux) equipped with a modern web browser
- A stable internet connection
- A Claude Pro subscription for the session (a 1-month gift subscription is included with registration; setup instructions will be provided prior to the class)
- Claude Desktop is recommended but optional (the web application at claude.ai is fully sufficient for all exercises)
- A Google account is recommended for the MCP connectors exercise (Gmail, Google Drive, Google Calendar), though alternative connector options are available
Target Audience
- Business professionals seeking to leverage AI for productivity and automation
- Marketers, operations managers, and analysts aiming to automate repetitive tasks
- Founders and entrepreneurs interested in building prototypes without hiring a developer
- Educators and researchers exploring AI-assisted workflows
- Anyone curious about Claude’s capabilities who lacks a technical background
Testimonials (1)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny