Claude AI and Prompting for Everyone Course

Lesson 1 • Claude's Design Philosophy and Values

Covers Anthropic's approach to building a helpful, harmless, and honest AI. Understanding these values explains Claude's behaviour and response patterns.

Lesson 2 • Known Limitations and Failure Modes

Identifies where Claude underperforms, including hallucinations and context limits. Sets realistic expectations that prevent misuse and frustration.

Lesson 3 • Accessing Claude Across Platforms

Walks through the main interfaces and API access points for using Claude. Ensures all learners can interact with the model before advancing.

Lesson 4 • Core Capabilities of Claude

Maps the full range of tasks Claude performs well, from writing to analysis. Helps learners identify where Claude adds the most value in their work.

Lesson 1 • Role and Persona Assignment

Teaches how assigning Claude a role shapes tone, depth, and perspective. Connects persona use to consistent, audience-appropriate outputs.

Lesson 2 • Iterating and Refining Prompts

Introduces a systematic approach to diagnosing weak outputs and improving prompts. Builds the habit of treating prompting as an iterative design process.

Lesson 3 • Anatomy of an Effective Prompt

Breaks down the key components that make a prompt clear and actionable. Provides a structural template learners apply throughout the course.

Lesson 4 • Controlling Output Format and Length

Covers explicit formatting instructions including lists, tables, headers, and word counts. Reduces post-processing time by getting structured output on the first try.

Lesson 1 • Providing Rich Context

Explains how background information, audience details, and purpose statements improve relevance. Connects context depth to output accuracy and usefulness.

Lesson 2 • Using Constraints and Exclusions

Shows how negative instructions and explicit constraints guide Claude away from unwanted content. Complements positive instructions for tighter output control.

Lesson 3 • Decomposing Complex Tasks

Teaches breaking multi-step tasks into sequential sub-prompts for better results. Reduces errors that arise when Claude handles too many requirements at once.

Lesson 4 • Avoiding Common Prompt Mistakes

Catalogs the most frequent errors that degrade output quality and explains why they fail. Gives learners a checklist to review before submitting any prompt.

Lesson 1 • Tree-of-Thought and Multi-Path Reasoning

Explores branching reasoning strategies where Claude considers multiple solution paths. Useful for open-ended problems requiring creative or strategic thinking.

Lesson 2 • Prompt Chaining Across Conversations

Builds multi-turn workflows where each prompt feeds structured output into the next. Enables complex projects that exceed a single prompt's scope.

Lesson 3 • Self-Critique and Reflection Prompts

Instructs Claude to evaluate and revise its own outputs within a single session. Produces higher-quality final answers without requiring manual review.

Lesson 4 • Chain-of-Thought Prompting

Guides Claude to reason step by step before delivering a final answer. Dramatically improves accuracy on logic, maths, and multi-factor decisions.

Lesson 1 • Injecting Documents and Reference Material

Teaches how to paste or reference source documents within a prompt for grounded responses. Grounds Claude's answers in specific, verifiable content.

Lesson 2 • Structuring Long Conversations

Covers techniques for organising multi-turn dialogues so key information stays accessible. Prevents context drift that degrades output quality in extended sessions.

Lesson 3 • External Memory and Retrieval Strategies

Explores tools and workflows that extend Claude's memory beyond the context window. Prepares learners for retrieval-augmented generation and knowledge-base integration.

Lesson 4 • System Prompts and Persistent Instructions

Introduces system-level prompts that set persistent behaviour rules for an entire session. Enables consistent persona, tone, and constraints without repeating instructions.

Lesson 1 • Privacy, Confidentiality, and Data Safety

Covers the risks of sharing sensitive information with AI systems and how to mitigate them. Aligns AI use with professional data-handling obligations.

Lesson 2 • Transparency and Disclosure Norms

Addresses when and how to disclose AI involvement in professional work products. Builds trust with colleagues, clients, and stakeholders.

Lesson 3 • Ethical Boundaries and Responsible Prompting

Defines the ethical limits of prompting and explains why certain requests are off-limits. Empowers learners to make principled decisions when edge cases arise.

Lesson 4 • Understanding AI Bias and Limitations

Examines how training data biases surface in Claude's outputs and why they matter. Equips learners to spot and correct biased or misleading responses.

Lesson 1 • Communication and Presentation Support

Covers prompts for structuring presentations, talking points, and stakeholder communications. Helps learners communicate complex ideas clearly and persuasively.

Lesson 2 • Brainstorming and Ideation

Demonstrates prompts that generate diverse ideas, challenge assumptions, and expand creative thinking. Positions Claude as a collaborative thought partner.

Lesson 3 • Data Analysis and Interpretation

Shows how to prompt Claude to interpret data tables, spot trends, and explain findings. Bridges the gap between raw data and actionable narrative.

Lesson 4 • Writing and Editing With Claude

Covers prompts for drafting, rewriting, proofreading, and adapting tone in professional documents. Directly accelerates content production in any knowledge-work role.

Lesson 1 • Auditing Your Current Work Processes

Guides learners through mapping their existing tasks to identify high-value AI integration points. Creates a prioritised list of automation and augmentation opportunities.

Lesson 2 • Staying Current as Claude Evolves

Equips learners with strategies for monitoring Claude updates and adapting their workflows. Ensures skills remain relevant as the model and its capabilities change.

Lesson 3 • Measuring Productivity and Output Quality

Introduces simple metrics for tracking time saved and quality improvements from AI use. Provides evidence to justify continued investment in AI-assisted workflows.

Lesson 4 • Integrating Claude Into Daily Routines

Shows practical methods for embedding Claude into existing tools and daily schedules. Builds habitual, low-friction AI use that compounds productivity gains.