Course Outline
Phase 1 — Meet Claude Code — 30 minutes
- Understanding what Claude is and how Claude Code differs from standard chat interfaces.
- Quick orientation: we will use the Claude app today (web or desktop); the CLI and other interfaces are covered in the reference card.
- Interface tour: starting a coding session and understanding the workspace layout.
- How Claude Code operates: the describe → plan → act → review loop.
- Understanding permissions: why Claude requests approval before creating files or executing code.
- Your first build: prompting Claude to create a simple styled webpage from a one-sentence description.
- Iterating on results: refining outputs with prompts like “make the header bigger,” “change the color scheme,” or “add a navigation bar.”
- Guided exercise: participants start a session and 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.
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: Create a styled dashboard with sample data, charts, and statistics. Practice providing design direction: “use a dark theme,” “add a sidebar,” “make it responsive.”
- Task 2 — Data analysis: Provide a sample CSV file; 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 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 good prompting: distinguishing between specific and vague instructions.
- Live demo: side-by-side comparison of weak versus strong prompts applied to the same task.
- Iterating and refining: asking Claude to explain choices, undo changes, or attempt different approaches.
- Working with uploaded files: tasks 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.
- Knowing 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 improved the outcome.
Goal: elevate from “it works” to “I can consistently achieve great results.”
Break — 7 minutes
Phase 4 — Connecting Claude to Your Tools with MCP — 34 minutes
Pre-class: participants received instructions via email 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)? It serves as a 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 (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 view Claude as a connective layer, not 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: 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):
- Where to go from here: Claude Code CLI for terminal users, VS Code extension for developers, Cowork for knowledge workers.
- Plans: Free vs. Pro vs. Max — what each plan 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
Requirements
An understanding of
- Basic computer literacy: navigating files and folders, using a web browser, and installing applications
- General awareness of AI assistants’ functions (e.g., casual experience with ChatGPT, Gemini, or Claude is beneficial context, though not mandatory)
Experience with
- No coding, programming, or terminal experience is required. This course is tailored for individuals who have never written code.
- No prior experience with Claude or any other AI tool is necessary.
Technical requirements
- Participants must bring a laptop (Mac, Windows, or Linux) equipped with a modern web browser.
- A stable internet connection is required.
- A Claude Pro subscription is needed for the session. A 1-month gift subscription is included with course registration; setup instructions will be sent prior to class.
- Claude Desktop is recommended but optional (the web application at claude.ai is sufficient for all exercises).
- A Google account is recommended for the MCP connectors exercise (Gmail, Google Drive, 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 who wish to build 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
