What you'll learn

Software developers often struggle to achieve consistent, accurate, and cost-efficient results with large language models, leading to unreliable AI features and longer iteration times.

In this course, OpenAI: Prompt Engineering for Improved Performance, you’ll gain the ability to design structured, testable prompts that perform reliably in real-world applications.

First, you’ll explore how to construct multi-part prompts with clear constraints, formatting, and safety mechanisms to improve instruction-following and reduce hallucinations.

Next, you’ll discover advanced prompting patterns such as chain-of-thought reasoning, few-shot examples, and dynamic prompt templates to handle more complex use cases.

Finally, you’ll learn how to design prompts for function calling, optimize them for cost and latency, and implement testing and monitoring strategies for production environments.

When you’re finished with this course, you’ll have the skills and knowledge of prompt engineering needed to build scalable, reliable, and high-performance AI-powered applications using the OpenAI API.