Kurzusleírás
Phase 1 — Meet Claude Code — 30 minutes
- What Claude is, and what makes Claude Code different from regular chat
- Quick orientation: we’re using the Claude app today (web or desktop); the CLI and other surfaces are covered in the reference card
- Interface tour: starting a coding session, understanding the workspace
- How Claude Code thinks: the describe → plan → act → review loop
- Understanding permissions: why Claude asks before creating files or running code
- Your first build: asking Claude to create a simple styled webpage from a one-sentence description
- Iterating on results: “make the header bigger,” “change the color scheme,” “add a navigation bar”
- Guided exercise: participants start a session and build a personalized “About Me” webpage, refining through follow-up instructions
Goal: everyone past the first-interaction hurdle and 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: styled dashboard with sample data, charts, stats. Practice giving design direction: “use a dark theme,” “add a sidebar,” “make it responsive.”
- Task 2 — Data analysis: provide a sample CSV, ask Claude to summarize, identify trends, find highs/lows, and generate a visual chart. Demonstrates Claude writing and executing code on your behalf.
- Task 3 — Automation tool: build a simple utility — unit converter, quiz app, or budget calculator. Introduces the idea that Claude can build interactive tools, not just static pages.
After each task, the instructor highlights what Claude did behind the scenes: files created, code written, how to read the output. Participants document their best prompts in a shared Prompt Playbook.
|
Break — 7 minutes |
Phase 3 — Working Smarter with Claude Code — 35 minutes
- The art of good prompting: specific vs. vague instructions
- Live demo: side-by-side comparison of weak and strong prompts on the same task
- Iterating and refining: asking Claude to explain choices, undo changes, or try a different approach
- Working with uploaded files: “read this document and summarize it,” “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 work
- When to use Claude Code vs. 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 get great results consistently.”
|
Break — 7 minutes |
Phase 4 — Connecting Claude to Your Tools with MCP — 34 minutes
|
Pre-class: participants were emailed instructions to connect Gmail or Google Drive before the session, so 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: turning 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 give Claude 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, where to find new connectors
Goal: participants see 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, produce a visual report
- An interactive tool solving a real problem from their workflow
- A connected workflow: pull data from the service they connected in Phase 4, transform it, produce a deliverable
Instructor circulates, helps refine prompts, 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 unlocks and which fits which use case
- Recommended resources: official docs, Anthropic’s prompt engineering guide, community channels
- Participants leave with a reference card covering prompting patterns, connector setup, and useful MCP integrations
Követelmények
Requirements
An understanding of
- Basic computer literacy: navigating files and folders, using a web browser, and installing applications
- General awareness of what AI assistants do (e.g., having used ChatGPT, Gemini, or Claude casually is helpful context, but not required)
Experience with
- No coding, programming, or terminal experience required. This course is designed for people who have never written a line of code.
- No prior experience with Claude or any AI tool is necessary.
Technical requirements
- Participants should bring a laptop (Mac, Windows, or Linux) with a modern web browser
- A stable internet connection
- A Claude Pro subscription for the session (a 1-month gift subscription is included with course registration; setup instructions are sent before class)
- Claude Desktop is recommended but not required (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), but alternative connector options are available
Audience
- Business professionals looking to leverage AI for productivity and automation
- Marketers, operations managers, and analysts who want to automate repetitive tasks
- Founders and entrepreneurs who want to build prototypes without hiring a developer
- Educators and researchers exploring AI-assisted workflows
- Anyone curious about what Claude can build who has no technical background
Vélemények (2)
Hogy megszereztem tudást a Python Streamlit könyvtárról, és biztosan megpróbálom használni annak érdekében, hogy fejlesszem a csapatomban használt R Shiny alkalmazásokat.
Michal Maj - XL Catlin Services SE (AXA XL)
Kurzus - GitHub Copilot for Developers
Gépi fordítás
A tanár képes az edzés során a kurzus szintjét módosítani, hogy megfeleljen a témában lévő értelemzésünk szintjének, így hasznosabb ismereteket szerezhetnénk, amelyek továbbiakban segítenek nekünk a munka eszközeit nap mint nap jobban kihasználni.
Tatt Juen - ViTrox Technologies Sdn Bhd
Kurzus - Intermediate GitHub Copilot
Gépi fordítás
