Claude Course

Lesson 1 • Understanding Claude's Limitations

Identifies factual, temporal, and reasoning limitations that affect output quality. Students learn to anticipate failure modes before relying on Claude professionally.

Lesson 2 • What Claude Is and How It Works

Covers Claude's architecture, training approach, and how it generates responses. Establishes the conceptual baseline needed for all subsequent chapters.

Lesson 3 • Claude's Core Capabilities Overview

Maps the full range of tasks Claude can perform, from writing to analysis to coding. Gives students a practical mental model of where Claude adds value.

Lesson 1 • Prompt Templates and Reusability

Covers building reusable prompt templates with variable placeholders for recurring tasks. Students create a personal prompt library to increase workflow efficiency.

Lesson 2 • Role and Persona Assignment

Teaches how assigning Claude a role or persona shapes tone, depth, and perspective. Students practice persona prompts to unlock domain-specific response styles.

Lesson 3 • Iterative Prompt Refinement

Introduces a systematic process for improving prompts based on output evaluation. Students build a feedback loop habit that accelerates skill development.

Lesson 4 • Common Prompting Mistakes to Avoid

Analyzes frequent errors such as vague instructions, missing context, and conflicting constraints. Students learn to diagnose and fix weak prompts before submission.

Lesson 1 • Meta-Prompting and Self-Critique

Teaches prompts that ask Claude to evaluate, critique, or improve its own outputs. Students use this technique to automate quality checks within a single conversation.

Lesson 2 • Few-Shot and Zero-Shot Prompting

Explains how providing examples within a prompt guides Claude's output style and format. Students practice both approaches and learn when each is most effective.

Lesson 3 • Chain-of-Thought Prompting

Teaches prompts that instruct Claude to reason step by step before answering. Students apply this technique to improve accuracy on multi-step and analytical tasks.

Lesson 4 • Structured Output Formatting

Covers prompting Claude to return JSON, tables, markdown, and other structured formats. Students learn to integrate Claude outputs directly into downstream workflows.

Lesson 1 • System Prompts and Persistent Instructions

Introduces system prompts as a mechanism for setting persistent behavior across a session. Students configure system prompts for consistent tone, role, and output standards.

Lesson 2 • Structuring Multi-Turn Conversations

Covers techniques for organizing dialogue to build progressively toward a complex goal. Students practice conversation architectures that keep Claude on track across many turns.

Lesson 3 • Context Management Strategies

Teaches methods for preserving critical information as conversations grow long. Students learn summarization, pinning, and restart techniques to avoid context loss.

Lesson 1 • Drafting Professional Documents

Covers prompting strategies for generating first drafts of reports, emails, proposals, and memos. Students practice producing structured drafts that require minimal human revision.

Lesson 2 • Creative Writing Assistance

Explores Claude's use in fiction, storytelling, and creative copywriting contexts. Students learn to guide Claude's creative output while preserving their own authorial voice.

Lesson 3 • SEO and Marketing Content

Applies Claude to keyword-informed content creation for digital marketing purposes. Students produce optimized blog posts, headlines, and ad copy using structured prompts.

Lesson 4 • Editing and Proofreading Workflows

Teaches how to use Claude as an editing assistant for grammar, clarity, tone, and style. Students build editing prompts that match specific style guides and brand voices.

Lesson 1 • Comparative and Competitive Analysis

Applies Claude to side-by-side comparison tasks across products, strategies, and arguments. Students produce structured comparison outputs that support decision-making.

Lesson 2 • Information Extraction from Documents

Teaches structured prompts for pulling specific data points, entities, and facts from text. Students build extraction workflows applicable to contracts, reports, and research papers.

Lesson 3 • Summarization Techniques and Best Practices

Covers prompting strategies for generating accurate, concise summaries at varying lengths. Students practice extractive and abstractive summarization across document types.

Lesson 4 • Literature and Topic Research Support

Covers using Claude to map a topic, identify key themes, and generate research questions. Students learn to use Claude as a research accelerator while verifying outputs independently.

Lesson 1 • Code Generation Fundamentals

Covers prompting Claude to write functional code across common languages and use cases. Students practice specifying requirements precisely to minimize debugging effort.

Lesson 2 • Code Explanation and Documentation

Applies Claude to explaining unfamiliar code and generating technical documentation. Students produce README files, inline comments, and API docs using structured prompts.

Lesson 3 • Debugging and Code Review

Teaches how to present buggy code to Claude for diagnosis and correction. Students build a systematic debugging workflow using Claude as a collaborative reviewer.

Lesson 4 • Technical Problem-Solving and Architecture

Teaches using Claude for system design discussions, architecture trade-offs, and technical planning. Students practice high-level technical dialogue to support engineering decisions.

Lesson 1 • Data Privacy and Confidentiality

Covers risks of sharing sensitive data with AI systems and strategies for safe usage. Students establish personal and organizational data-handling protocols for Claude interactions.

Lesson 2 • Measuring and Maximizing Claude's ROI

Teaches methods for quantifying time savings, quality improvements, and productivity gains from Claude. Students build a business case framework for expanding AI adoption strategically.

Lesson 3 • Understanding Claude's Safety Design

Explains the principles behind Claude's refusals, content policies, and harm-avoidance behaviors. Students gain insight into why certain outputs are restricted and how to work within those boundaries.

Lesson 4 • Organizational AI Governance Frameworks

Introduces frameworks for setting team-wide policies on AI tool usage and accountability. Students draft a governance policy applicable to their own professional context.