Prompt Engineering for Improved Performance (2025)

Learn advanced prompt engineering techniques to enhance language model performance. This course will teach you how to optimize prompts, reduce latency, and guide models to generate accurate, coherent, and relevant outputs.
Advanced prompt engineering techniques can significantly improve the accuracy, clarity, and performance of language models - but knowing where to start can be challenging. In this course, Prompt Engineering for Improved Performance, you'll learn to design and optimize prompts that reduce latency, minimize hallucinations, and return higher quality outputs across common use cases. First, you'll explore how to recognize signs of poor model performance and analyze what's happening behind the scenes when outputs miss the mark. Next, you'll discover advanced prompt structuring strategies, including role formatting, reasoning patterns, and few-shot prompting. Finally, you'll learn how to rework legacy prompts for modern use cases using Python. When you finish this course, you'll have the skills and knowledge of advanced prompt engineering needed to align model behavior with real-world goals and improve output performance across various GenAI platforms.
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