This repository provides prompt examples and supporting resources for the LinkedIn Learning course "Advanced Prompt Engineering Techniques." It is designed for developers and AI practitioners looking to move beyond basic conversational prompting to more sophisticated methods for building AI-powered applications.

How It Works

The repository contains a /prompts/ directory with copy-pasteable prompt examples categorized by course chapter and video number. These examples demonstrate advanced techniques such as Chain-of-Thought and Tree-of-Thought, illustrating their application in AI development. A links.md file offers further reading on the academic papers and practical examples behind these methods.

Quick Start & Requirements

• Install/Run: No installation required. Prompts are designed for direct use in AI tools like ChatGPT and Claude.
• Prerequisites: Access to an AI model or platform (e.g., ChatGPT, Claude).
• Resources: Links to academic papers and practical examples are provided in links.md for deeper understanding.

Highlighted Details

• Demonstrates advanced prompting strategies like Chain-of-Thought and Tree-of-Thought.
• Provides practical, copy-pasteable prompt examples for immediate use.
• Includes curated links to academic papers and real-world examples for further study.

Maintenance & Community

The course and repository are associated with Morten Rand-Hendriksen, a Senior Staff Instructor at LinkedIn Learning. Further courses by the instructor are available on LinkedIn Learning.

Licensing & Compatibility

The repository content is likely subject to LinkedIn Learning's terms of service. Specific licensing for the prompt examples is not explicitly stated in the README.

Limitations & Caveats

This repository serves as a supplementary resource for a specific course and does not include executable code or a framework for implementing these techniques. The effectiveness of the prompts is dependent on the underlying AI model used.