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:
- A polished landing page or portfolio site
- A data analysis pipeline: uploading a file, analyzing it, and producing a visual report
- An interactive tool solving a real problem within their workflow
- 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
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