In this course, Prompt Engineering for Developers with Claude 3, you’ll learn to leverage Claude 3’s impressive capabilities as a set of large language models through prompt engineering. First, you’ll explore the three model flavors known as Haiku, Sonet, and Opus. The tradeoffs and capabilities of each, including configurable options such as temperature and token limits. Next, you’ll discover how to construct context, instructions, and examples to reliably guide Claude 3’s responses to best meet your needs. Finally, you’ll learn how to assess the effectiveness of your responses and further specialize around domain specific applications. When you’re finished with this course, you’ll have the skills and knowledge of prompt engineering via the Claude 3 APIs needed to effectively use these models in your specific applications and environments.
Author Name: Russ Thomas
Author Description:
Currently an IT leader in Denver Colorado’s FinTech sector Russ has focused on database engineering, modelling, administration, and BI since 1997. Russ is a passionate trainer and community volunteer presenting regularly at tech events and local user groups around the US. In 2019 much of Russ’ focus turned to cloud based data lakes specifically on Google BigQuery, and the emerging world of large language models.

Table of Contents

• Course Overview
  1min
• Claude 3 Models and Considerations
  10mins
• Assessing and Tuning Responses
  8mins