Course Outline
Phase 1 — Introduction to Claude Code (30 minutes)
- Overview of Claude’s capabilities and the distinct functionality of Claude Code compared to standard conversational interfaces
- Session orientation: Utilization of the Claude application (web or desktop); command-line interface (CLI) and alternative access points are detailed in the reference materials
- Interface navigation: Initiating coding sessions and understanding the workspace environment
- Operational framework: The describe, plan, act, and review cycle inherent to Claude Code
- Safety and permissions: Protocols regarding file creation and code execution authorization
- Initial implementation: Generating a basic styled webpage from a concise textual description
- Refinement processes: Modifying design elements, including header dimensions, color palettes, and navigation structures
- Instructor-led exercise: Participants initiate a session to construct a personalized “About Me” webpage, refining the output through iterative instructions
Objective: Ensure all participants overcome initial usage barriers and achieve proficiency with the interface.
Break — 7 minutes
Phase 2 — Developing Functional Applications via Natural Language (55 minutes)
Execution of three progressively complex tasks utilizing natural language prompts exclusively.
- Task 1 — Interactive Dashboard: Creation of a styled dashboard featuring sample data, visualizations, and statistics. Participants practice providing design directives, such as implementing dark themes, adding sidebars, or ensuring responsive design.
- Task 2 — Data Analysis: Provision of sample CSV data for summarization, trend identification, extremum detection, and visualization generation. This demonstrates Claude’s capacity to write and execute code autonomously.
- Task 3 — Automation Utility: Development of a functional utility, such as a unit converter, quiz application, or budget calculator. This introduces the concept of creating interactive tools beyond static web pages.
Following each task, the instructor clarifies backend operations, including file generation and code structure, guiding participants in interpreting output. Participants document 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 effective versus ineffective prompts for identical tasks
- Iterative refinement: Techniques for requesting explanations, reverting changes, or exploring alternative methodologies
- File integration: Utilizing uploaded documents for summarization or converting spreadsheets into visual formats
- Multi-step workflows: Chaining requests to generate complex outputs
- Usage metrics: Understanding token consumption, context windows, and subscription tier implications for government and enterprise applications
- Differentiation: Appropriate use cases for Claude Code versus standard Claude chat
- Instructor-led exercise: Participants extend a Phase 2 project with a new feature using a multi-step prompt, comparing before-and-after prompts to identify success factors
Objective: Transition participants from basic functionality to consistent, high-quality results.
Break — 7 minutes
Phase 4 — Integrating Claude with External Tools via MCP (34 minutes)
Pre-class preparation: Participants received instructions to link Gmail or Google Drive prior to the session, ensuring classroom time focuses on utilization rather than authentication.
- Model Context Protocol (MCP): Overview of this universal integration standard for AI tools
- Strategic value of MCP: Transforming Claude from a conversational assistant into a connected workflow hub
- Connectors Directory: Navigating and installing integrations directly within the Claude application
- Desktop Extensions: One-click installation options for Claude Desktop users
- Live demonstration: Executing a workflow to retrieve tomorrow’s calendar entries and draft preparatory emails
- Instructor-led exercise: Participants utilize their pre-connected service (or establish one live) to perform tasks, such as summarizing recent project update emails into a document
- Core concepts: OAuth protocols, permission management, per-conversation tool access, security awareness, and locating additional connectors
Objective: Position Claude as a connective layer across systems, extending beyond its role as a coding tool.
Phase 5 — Capstone Project and Conclusion (35 minutes)
Capstone Mini-Project (25 minutes): 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 addressing a specific workflow inefficiency
- A connected workflow: Retrieving data from a Phase 4 service, transforming it, and generating a deliverable
Instructors provide guidance on prompt refinement and showcase exemplary outcomes.
Conclusion (10 minutes):
- Next steps: Exploration of Claude Code CLI for terminal users, the VS Code extension for developers, and Cowork for knowledge workers
- Subscription overview: Differentiating between Free, Pro, and Max tiers based on functional requirements and use cases
- Recommended resources: Official documentation, Anthropic’s prompt engineering guide, and community channels
- Distribution of a reference card detailing prompting patterns, connector setup procedures, and key MCP integrations
Requirements
Course Eligibility and Prerequisites
The following criteria define the foundational knowledge and technical setup necessary for participation.
Required Competencies
- Fundamental Digital Proficiency: Participants must possess the ability to navigate file systems, operate web browsers, and install standard software applications.
- Familiarity with AI Tools: While not mandatory, prior casual interaction with generative AI platforms (such as ChatGPT, Gemini, or Claude) provides valuable context for this curriculum.
Prerequisites and Exclusions
- No Coding Experience Required: This program is explicitly designed for individuals without programming background. Proficiency in coding, script writing, or terminal navigation is not expected.
- No Prior Tool Knowledge Needed: Familiarity with Claude or other specific AI interfaces is not a prerequisite for enrollment.
Technical Specifications for Government and Professional Use
- Hardware Requirements: Attendees must provide their own computing device (Mac, Windows, or Linux) equipped with a current web browser capable of supporting the course materials. These systems are tailored for government agencies and enterprise environments.
- Connectivity: A reliable, high-speed internet connection is mandatory.
- Software Licensing: A Claude Pro subscription is required for the duration of the session. A complimentary one-month license is provided with course registration, along with pre-class setup guidance.
- Platform Preference: While the web-based interface at claude.ai supports all exercises, the installation of Claude Desktop is recommended for optimal performance.
- Third-Party Integration: Participation in Model Context Protocol (MCP) connector activities requires a Google account to facilitate access to Gmail, Drive, and Calendar. Alternative integration options are available for those with restricted access.
Target Audience
This curriculum is intended for:**
- Business Professionals: Individuals seeking to implement artificial intelligence to enhance productivity and automate operational workflows.
- Specialists in Marketing, Operations, and Analysis: Personnel tasked with streamlining repetitive processes through automation.
- Leadership and Entrepreneurship: Founders and business owners aiming to develop functional prototypes without engaging external development resources.
- Academic Personnel: Educators and researchers investigating the integration of AI-assisted methodologies into their work.
- Curious Professionals: Any individual with an interest in generative capabilities who lacks a technical background.
Testimonials (1)
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