Understanding prompt engineering for large language models (LLM) is critical for success for software developers. It allows for being more productive and efficient. In this course, Anthropic: Prompt Engineering for Developers, you will develop the skills necessary to use Claude 3 for effective coding. This LLM has powerful capabilities for software code understanding and generation. First, you will learn the essentials of crafting prompts to create test cases. This will involve using Python modules across different functions. There will also be tips on formulating prompts for typical use cases and edge cases. Next, you will learn how to create prompts for Claude 3 to create sample data. This will be for various applications like user profiles, transaction records, product catalogs. Then, you will use Claude 3 to generate precise data formats such as JSON and CSV, as well as create unstructured data like text and emails. Finally, you will see how to use this LLM to help with debugging. There will also be a look at how to use pair programming and engage in real-time problem solving. Upon completing this course, you will gain the skills and knowledge necessary for creating prompts for software development with Claude 3. This will help make you a more successful and competitive programmer, ready to leverage the powerful code understanding and generation features of Claude 3.
Author Name: Tom Taulli
Author Description:
Tom Taulli (@ttaulli) is the author of AI-Assisted Programming: Better Planning, Coding, Testing, and Deployment (https://amzn.to/48qeAa9). He has been programming since he was in high school, when he wrote computer programs for magazines (yes, in the 1980s, there were publications that had code listings!). When he got into college, he started a company that sold Windows software for exam preparation. He then founded other companies like Hypermart.net – which was the mid-1990s version of Shopif… more

Table of Contents

• Course Overview
  1min
• Prompts for Test Cases, Sample Data, and Debugging
  16mins