Course Outline
Phase 1 — Introduction to Claude Code — 30 minutes
- Overview of Claude and what distinguishes Claude Code from standard chat interfaces
- Initial orientation: utilizing the Claude app (web or desktop); the CLI and other interfaces are detailed in the reference card
- Interface walkthrough: initiating a coding session and navigating the workspace
- Claude Code’s reasoning process: the describe → plan → act → review loop
- Permission management: understanding why Claude requests confirmation before creating files or executing code
- First build: instructing Claude to create a simple, styled webpage from a single-sentence description
- Refining results: giving instructions like “make the header bigger,” “adjust the color scheme,” or “add a navigation bar”
- Guided exercise: participants start a session and construct a personalized “About Me” webpage, refining it through iterative instructions
Objective: Ensure all participants overcome the initial interaction barrier and feel comfortable with the interface.
Break — 7 minutes
Phase 2 — Creating Real Projects with Plain English — 55 minutes
Three progressively complex tasks accomplished exclusively through natural language prompts.
- Task 1 — Interactive dashboard: A styled dashboard featuring sample data, charts, and statistics. Practice providing design direction: “apply a dark theme,” “add a sidebar,” or “make it responsive.”
- Task 2 — Data analysis: Provide a sample CSV and ask Claude to summarize it, identify trends, locate 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.
Following each task, the instructor explains Claude’s background 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: contrasting specific vs. vague instructions
- Live demonstration: a side-by-side comparison of weak and strong prompts for the same task
- Iteration and refinement: asking Claude to explain choices, revert changes, or adopt a different approach
- Handling uploaded files: “read this document and summarize it,” or “convert this spreadsheet into a chart”
- Multi-step workflows: chaining requests to produce complex outputs
- Cost and usage management: understanding tokens, context windows, and subscription tiers
- 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 before-and-after prompts to identify key differences
Objective: Progress from “it works” to “I can consistently achieve high-quality 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 prior to the session, allowing class time to focus on utilizing the connection rather than authentication.
- Understanding MCP (Model Context Protocol): The universal plug system for AI tools
- The value 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—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 locating new connectors
Objective: Participants will view Claude as a connective layer, not merely 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-world problem in their workflow
- A connected workflow: pulling data from a service connected in Phase 4, transforming it, and generating a deliverable
The instructor will circulate to assist with prompt refinement and showcase notable 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 documentation, Anthropic’s prompt engineering guide, and community channels
- Participants will leave with a reference card covering prompting patterns, connector setup, and useful MCP integrations
Requirements
Requirements
Foundational Understanding
- Basic computer literacy: navigating files and folders, using web browsers, and installing applications
- General awareness of AI assistant capabilities (previous casual use of ChatGPT, Gemini, or Claude is beneficial but not mandatory)
Experience Level
- No coding, programming, or terminal experience is necessary. This course is tailored for individuals who have never written a line of code.
- No prior familiarity with Claude or other AI tools is required.
Technical Setup
- 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 session (a one-month gift subscription is included with registration; setup instructions will be provided prior to the class)
- Claude Desktop is recommended but not essential (the web app at claude.ai is sufficient for all exercises)
- A Google account is suggested for the MCP connectors exercise (Gmail, Google Drive, Google Calendar), though alternative connector options are available
Target Audience
- Business professionals seeking to enhance productivity and automation through AI
- 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
- Individuals interested in Claude’s capabilities who lack 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