Get in Touch

Course Outline

Phase 1 — Introduction to Claude Code — 55 minutes

  • Overview of Claude and the unique features of Claude Code compared to standard chat
  • The Claude product ecosystem: claude.ai, Claude Desktop, Claude Code (CLI), and their relationships
  • Interface walkthrough: navigating the Claude app, initiating a coding session, and understanding the workspace
  • Claude Code’s reasoning process: the describe → plan → act → review cycle
  • Understanding permissions: why Claude requests approval before creating files or executing code
  • Your first build: instructing Claude to create a simple styled webpage based on a brief description
  • Iterating on results: commands like “increase the header size,” “change the color scheme,” “add a navigation bar”
  • Guided exercise: participants open the Claude app, start a Claude Code session, and construct a personalized “About Me” webpage by describing their requirements in plain English, practicing refinement through follow-up instructions.

Objective: ensure everyone is comfortable with the interface and has overcome the initial learning curve.

Break — 10 minutes

Phase 2 — Creating Real Projects with Plain English — 70 minutes

This segment forms the core of the morning. Participants complete four increasingly complex tasks using only natural language prompts.

  • Task 1 — Interactive dashboard: instruct Claude Code to create a styled dashboard displaying sample data with charts, statistics, and a clean layout. Practice providing design cues: “apply a dark theme,” “add a sidebar,” “ensure responsiveness.”
  • Task 2 — Data analysis: provide Claude with a sample CSV file and request a summary, trend identification, finding of highest/lowest values, and generation of a visual chart. This demonstrates Claude’s ability to write and execute code on your behalf.
  • Task 3 — Document generator: ask Claude to read a data file and produce a formatted report — such as a sales summary, project status update, or meeting recap. This illustrates how Claude transforms raw data into polished deliverables.
  • Task 4 — Automation tool: request Claude to build a simple utility — 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 explains the behind-the-scenes actions: which files were created, what code was written, and how to interpret the output. Participants document their most effective prompts in a shared Prompt Playbook.

Break — 10 minutes

Phase 3 — Optimizing Workflows with Claude Code — 50 minutes

  • The art of effective prompting: distinguishing between specific and vague instructions
  • Live demonstration: side-by-side comparison of weak and strong prompts for the same task
  • Iteration and refinement: asking Claude to explain its reasoning, revert changes, or attempt alternative approaches
  • Working with uploaded files: “summarize this document,” “convert this spreadsheet into a chart”
  • Multi-step workflows: chaining requests to create complex outputs (e.g., “analyze this data first, then build a dashboard from the results”)
  • Understanding costs and usage: how tokens, context windows, and subscription tiers function
  • When to use Claude Code versus standard Claude chat
  • Guided exercise: participants extend one of their Phase 2 projects by adding two new features using a multi-step prompt chain. They then compare their before-and-after prompts to identify key differences.

Objective: elevate proficiency from “it works” to “I can consistently achieve excellent results.”

Break — 10 minutes

Phase 4 — Your Claude Workflows: Live Build Session — 60 minutes

This phase shifts the group’s energy. Instead of individual practice, the entire group builds together. The instructor drives the process, but participants guide the direction — sharing real job-related problems, suggesting prompt ideas, and discussing trade-offs. The goal is to learn prompt evaluation by observing an expert navigate uncertainty in real-time.

Three workflow archetypes structure this session:

  • Transform — convert input X into output Y (e.g., meeting notes → action items; raw data → summary email; customer feedback → themed report)
  • Draft — generate a first version of content typically written from scratch (proposals, emails, job descriptions, social media posts)
  • Analyze — interrogate a document or dataset too large to review carefully (a 40-page report, a spreadsheet of survey responses, a contract)

Setup and framing (10 min): The instructor introduces the three archetypes and explains the session format. Participants submit real workflow challenges from their jobs via a shared document or chat.

Live build #1 — Transform workflow (20 min): The instructor selects one submitted problem and builds it live, with the group providing prompt ideas, feedback, and refinements. The instructor narrates every decision. The session concludes with a working prompt template that the participant whose problem was selected gets to keep.

Live build #2 — Draft or Analyze workflow (20 min): Same format, different archetype, different participant’s problem.

Reflection & share-back (10 min): Participants take a moment to note one prompting technique that surprised them, one thing they would do differently, and one pattern they will apply. A quick group share follows — 3-4 participants, not everyone. The instructor connects these observations to the broader Prompt Playbook.

     

Phase 5 — Connecting Claude to Your Tools via MCP — 50 minutes

  • 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 within the Claude app
  • Desktop Extensions: one-click installations for Claude Desktop (no configuration files required)

Live demo: The instructor connects Claude to two services via the Connectors UI and demonstrates cross-tool workflows:

  1. “Check my Google Calendar for tomorrow’s meetings and draft a prep email for each one”
  2. “Read the latest updates from our project board and write a status summary”
  3. “Pull data from this connected service and build a local report from it”

Guided exercise: Participants connect Claude to at least one service. Options are provided for varying comfort levels:

  • Option A: Connect a pre-built connector from the directory (e.g., Gmail, Google Drive, or a demo service) — click, authenticate, and go
  • Option B: Add a custom connector by pasting an MCP server URL (the instructor provides a test URL)
  • Option C: Install a Desktop Extension from the marketplace (for Claude Desktop users)

Participants then assign Claude a task utilizing the connected service — for example, “Read my recent emails about project updates and create a summary document.”

Key concepts covered:

  • How connectors function: OAuth authentication, permissions, and the scope of access granted
  • Managing tool access: enabling, disabling, and controlling which connectors Claude can use per conversation
  • Security awareness: connecting only to trusted services and reviewing tool permissions
  • The MCP ecosystem: where to find new connectors, extensions, and community-built servers

Objective: participants view Claude as a connective layer between all the services they already use, not merely as a coding tool.

Break — 10 minutes

Phase 6 — Capstone & Next Steps — 65 minutes

Capstone mini-project (45 min): Each participant selects one scenario and builds it with Claude:

  1. A polished landing page or portfolio site for their team, project, or personal brand
  2. A data analysis pipeline: upload a file, have Claude analyze it, and produce a visual report
  3. An interactive tool that solves a real problem from their workflow (calculator, tracker, converter, quiz)
  4. A connected workflow: pull data from a connected service, transform it, and produce a deliverable (e.g., “read my calendar for next week and build a visual schedule”)

The instructor circulates, assists with prompt refinement, and highlights standout examples to the group.

Showcase and wrap-up (20 min):

  • 6-8 participants share what they built (2-3 minutes each)
  • Where to go from here: Claude Code CLI for terminal users, VS Code extension for developers, Cowork for knowledge workers
  • The MCP ecosystem: finding and evaluating new connectors, extensions, and community servers
  • Plans: Free vs. Pro vs. Max — what each tier unlocks and which fits specific use cases
  • Best practices recap: the Prompt Playbook patterns that were most effective during the session
  • Recommended resources: official documentation, community channels, Anthropic’s prompt engineering guide
  • Participants receive a reference card with key prompting patterns, connector setup steps, and a curated list of useful MCP integrations

 

Requirements

Requirements

Prerequisite Knowledge

  • Basic computer proficiency: navigating files and folders, using web browsers, and installing applications
  • General familiarity with 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 needed. This course is tailored for individuals who have never written code.
  • Prior experience with Claude or other AI tools is not required.

Technical Requirements

  • Participants must bring a laptop (Mac, Windows, or Linux) with a modern web browser
  • Stable internet connection
  • A Claude Pro subscription for the session (a 1-month complimentary subscription is included with registration; setup instructions will be sent prior to the class)
  • Claude Desktop is recommended but optional (the web app at claude.ai supports all exercises)
  • A Google account is suggested for the MCP connectors exercise (Gmail, Google Drive, Google Calendar), although alternative connectors 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 create prototypes without hiring developers
  • Educators and researchers exploring AI-assisted workflows
  • Anyone interested in Claude’s capabilities who lacks a technical background

 

 7 Hours

Number of participants


Price per participant

Testimonials (1)

Upcoming Courses

Related Categories