Course Outline
Phase 1 — Meet Claude Code — 30 minutes
- An overview of Claude and what distinguishes Claude Code from standard chat interfaces
- Quick orientation: Introduction to the Claude app (web or desktop); CLI and other interfaces are covered in the reference card
- Interface tour: Starting a coding session and understanding the workspace layout
- How Claude Code processes requests: The describe → plan → act → review loop
- Understanding permissions: Why Claude seeks approval before creating files or executing code
- Your first build: Asking Claude to create a simple styled webpage from a one-sentence description
- Iterating on results: Instructions like “make the header bigger,” “change the color scheme,” or “add a navigation bar”
- Guided exercise: Participants start a session to build a personalized “About Me” webpage, refining it through follow-up instructions
Goal: Everyone overcomes the initial interaction hurdle and becomes comfortable with the interface.
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Break — 7 minutes |
Phase 2 — Building Real Things with Plain English — 55 minutes
Three progressively complex tasks completed using only natural language prompts.
- Task 1 — Interactive dashboard: Create a styled dashboard with sample data, charts, and statistics. Practice providing design direction: “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 the data, identify trends, find highs/lows, 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 build interactive tools, not just static pages.
After each task, the instructor highlights Claude’s background processes: files created, code written, and how to interpret the output. Participants document their most effective prompts in a shared Prompt Playbook.
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Break — 7 minutes |
Phase 3 — Working Smarter with Claude Code — 35 minutes
- The art of good prompting: Distinguishing between specific and vague instructions
- Live demo: Side-by-side comparison of weak and strong prompts applied to the same task
- Iterating and refining: Asking Claude to explain its 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 build complex outputs
- Understanding cost and usage: How tokens, context windows, and subscription tiers function
- When to use Claude Code versus regular 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 what made the difference
Goal: Level up from “it works” to “I can achieve great results consistently.”
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Break — 7 minutes |
Phase 4 — Connecting Claude to Your Tools with MCP — 34 minutes
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Pre-class: Participants receive emailed instructions to connect Gmail or Google Drive before the session, ensuring classroom time is spent using the connection rather than authenticating. |
- 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 from the Claude app
- Desktop Extensions: One-click installs for Claude Desktop users
- Live demo (one 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 — 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: Participants perceive Claude as a connective layer, not just a coding tool.
Phase 5 — Capstone & Wrap-Up — 35 minutes
Capstone mini-project (25 min): Each participant chooses one scenario:
- A polished landing page or portfolio site
- A data analysis pipeline: upload a file, analyze it, and produce a visual report
- An interactive tool solving a real problem from their workflow
- A connected workflow: pull data from the service connected in Phase 4, transform it, and produce a deliverable
The instructor circulates to help refine prompts and showcases standout examples.
Wrap-up (10 min):
- Next steps: Claude Code CLI for terminal users, VS Code extension for developers, and Cowork for knowledge workers
- Subscription plans: Free vs. Pro vs. Max — what each unlocks and which fits specific use cases
- Recommended resources: Official docs, 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
Prerequisite Knowledge
- Basic computer literacy: proficiency in navigating files and folders, using web browsers, and installing applications
- General understanding of AI assistants (e.g., casual use of ChatGPT, Gemini, or Claude is beneficial but not mandatory)
Experience Level
- No coding, programming, or terminal experience is required. This course is specifically designed for individuals who have never written code.
- No prior experience with Claude or any other AI tools is necessary.
Technical Requirements
- Participants must bring a laptop (Mac, Windows, or Linux) with a modern web browser
- A stable internet connection
- A Claude Pro subscription for the duration of the session (a 1-month gift subscription is included with registration; setup instructions are provided prior to the class)
- Claude Desktop is recommended 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 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 looking to build prototypes without hiring a developer
- Educators and researchers exploring AI-assisted workflows
- Anyone interested in discovering what Claude can build, regardless of 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
