Course Outline
Phase 1 — Introduction to Claude Code — 30 minutes
- Overview of Claude capabilities and the distinct functional advantages of Claude Code compared to standard conversational interfaces
- Initial orientation: Utilization of the Claude application (web or desktop) during the session; Command Line Interface (CLI) and alternative access methods are detailed in the reference documentation
- Interface familiarization: Initiate a coding session and navigate the workspace environment
- Cognitive process: Explain the Describe → Plan → Act → Review execution loop
- Permission management: Explain the rationale for request-based actions regarding file creation and code execution
- Initial application: Instruct Claude to generate a simple styled webpage based on a single-sentence description
- Iterative refinement: Apply directives such as “modify header dimensions,” “adjust color palette,” or “inject a navigation bar”
- Guided exercise: Participants initiate a session to construct a personalized “Profile” webpage, refining the output through sequential instructional prompts
Objective: Facilitate participant proficiency with the interface, ensuring comfort with initial interaction protocols.
Break — 7 minutes
Phase 2 — Developing Functional Applications via Natural Language — 55 minutes
Execution of three progressively complex tasks utilizing exclusively natural language directives.
- Task 1 — Interactive Dashboard: Configure a dashboard with sample data, charts, and statistical metrics. Practice providing design directives: “Implement a dark theme,” “incorporate a sidebar,” “ensure responsive design.”
- Task 2 — Data Analysis: Provide a sample CSV file and instruct Claude to summarize contents, identify trends, determine extrema, and generate visual charts. This demonstrates Claude’s capacity to author and execute code on the user’s behalf.
- Task 3 — Automation Utility: Develop a functional tool — such as a unit converter, assessment module, or budget calculator. This illustrates that Claude can construct interactive utilities, extending beyond static page generation.
Following each task, the instructor will elucidate the underlying operations: files generated, code authored, and output interpretation. Participants will record their most effective prompts in a shared Prompt Playbook.
Break — 7 minutes
Phase 3 — Optimizing Efficiency with Claude Code — 35 minutes
- Prompt engineering principles: Distinguishing between specific and ambiguous instructions
- Live demonstration: Comparative analysis of low-efficacy versus high-efficacy prompts applied to an identical task
- Iteration and refinement: Instruct Claude to justify architectural choices, revert changes, or adopt alternative methodologies
- File processing: Directives for “reading and summarizing documents” or “converting spreadsheets into visual data representations”
- Multi-step workflows: Chaining sequential requests to generate complex outputs
- Resource management: Explanation of token usage, context window limitations, and subscription tier implications
- Tool selection: Criteria for utilizing Claude Code versus standard Claude conversational interfaces
- Guided exercise: Participants enhance a Phase 2 project by implementing a new feature via a multi-step prompt, subsequently comparing pre- and post-modification prompts to isolate efficacy factors
Objective: Transition participants from basic functionality to consistent, high-quality result generation.
Break — 7 minutes
Phase 4 — Integrating Claude with External Tools via MCP — 34 minutes
Pre-requisite: Participants received prior instructions to establish connections with Gmail or Google Drive, allocating class time to operational usage rather than authentication processes.
- MCP (Model Context Protocol) definition: A universal integration framework for AI-assisted workflows
- MCP utility: Transforming Claude from a conversational assistant into a central workflow orchestration hub
- Connectors Directory: Procedures for browsing and implementing integrations directly within the Claude application
- Desktop Extensions: Streamlined installation protocols for Claude Desktop users
- Live demonstration (Single Workflow): “Review Google Calendar for scheduled meetings and draft preparation correspondence for each engagement”
- Guided exercise: Participants utilize their pre-established service connection (or establish one in real time) to assign a task — e.g., “Compile recent project update emails into a summary document”
- Key technical concepts: OAuth implementation, permission scoping, per-conversation tool access management, security considerations, and identification of new connector resources
Objective: Conceptualize Claude as an integrative layer for operational workflows, not solely a code generation tool.
Phase 5 — Capstone Assessment and Conclusion — 35 minutes
Capstone Project (25 minutes): Participants select one of the following scenarios:
- A refined landing page or professional portfolio site
- A data analysis pipeline: File ingestion, analytical processing, and visual report generation
- An interactive utility addressing a specific operational workflow requirement
- An integrated workflow: Data retrieval from a Phase 4 connected service, transformation, and deliverable generation
Instructor facilitates, provides prompt refinement assistance, and highlights exemplary implementations.
Conclusion (10 minutes):
- Continuing education paths: Claude Code CLI for terminal environments, VS Code extension for development contexts, Cowork for general knowledge workers
- Subscription analysis: Free versus Pro versus Max tiers — defining unlocked capabilities and applicability to specific use cases
- Curated resources: Official documentation, Anthropic’s prompt engineering guidelines, and community support channels
- Takeaway materials: A reference card detailing prompting patterns, connector configuration, and essential MCP integrations
Requirements
Requirements
Familiarity With
- Basic computer literacy: Navigation of file systems, utilization of web browsers, and installation of applications
- General understanding of AI assistant capabilities (e.g., prior casual use of ChatGPT, Gemini, or Claude is beneficial but not mandatory)
Experience With
- No coding, programming, or terminal experience is required. This course is designed for individuals without prior code-writing experience.
- No prior experience with Claude or other AI tools is necessary.
Technical Requirements
- Participants must provide a laptop (Mac, Windows, or Linux) equipped with a current web browser
- A stable internet connection
- A Claude Pro subscription for the session (a one-month complimentary subscription is included with registration; configuration instructions are provided prior to the class)
- Claude Desktop is recommended but not mandatory (the web application at claude.ai is sufficient for all exercises)
- A Google account is recommended for the MCP connector exercise (Gmail, Google Drive, Google Calendar); alternative connector options are available
Target Audience
- Business professionals seeking to leverage AI for productivity enhancement and workflow automation
- Marketers, operations managers, and analysts aiming to automate repetitive tasks
- Founders and entrepreneurs seeking to develop prototypes without engaging external developers
- Educators and researchers exploring AI-assisted operational workflows
- Individuals interested in Claude’s construction capabilities who lack a technical background
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Testimonials (1)
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