Learn Prompting

Delivers a hierarchically-organized, progressive curriculum on prompt engineering techniques through a web-based learning platform with modular lesson units. The system structures content from foundational concepts (basic prompting) through advanced techniques (chain-of-thought, few-shot learning, role-based prompting) using a linear or non-linear learning path architecture that allows learners to navigate between prerequisite and advanced topics.

Maintains a curated collection of prompt examples and patterns that demonstrate how the same intent can be expressed across different AI models (OpenAI, Anthropic, Cohere, etc.) with variations in syntax, instruction format, and parameter tuning. The repository is organized by use-case category (summarization, translation, code generation, etc.) and shows model-specific adaptations needed for optimal results.

Organizes prompting techniques (chain-of-thought, few-shot learning, role-based prompting, instruction-following, etc.) as discrete, learnable patterns with explanations of when and why each technique improves model output. Each pattern includes the underlying principle, implementation guidance, and example prompts demonstrating the technique in action across different domains.

Manages course content as version-controlled, open-source material that allows community contributions, corrections, and translations through a Git-based workflow. The system tracks content changes, enables collaborative editing, and maintains multiple language versions of the curriculum through a decentralized contribution model rather than centralized editorial control.

Provides concrete, real-world examples of prompt engineering applied across diverse domains (customer service, content creation, code generation, data analysis, creative writing, etc.) showing how the same underlying techniques adapt to different problem contexts. Examples include domain-specific terminology, expected output formats, and common failure modes for each application area.

Provides a web-based interface for navigating through curriculum content with features like lesson progression tracking, prerequisite management, and content recommendations based on learning goals. The system maintains learner state (completed lessons, bookmarks, progress) and suggests next topics based on current position in the curriculum hierarchy.