Institution
Pluralsight
Learn the art and science of crafting effective prompts to get the best results from generative AI models in this beginner-friendly course by Amber Israelsen.
Generative artificial intelligence is powerful, but its effectiveness depends on how you interact with it. This Pluralsight course, taught by Amber Israelsen, introduces you to the emerging discipline of prompt engineering. You will start by understanding what prompt engineering is, why it matters, and the role different prompt types play in shaping outputs. The course then dives into practical examples, showing how prompts affect factual responses, summarization, extraction, classification, conversations, reasoning, math, and even code generation. You will learn to evaluate prompt performance using both objective and subjective metrics, and discover how adjusting parameters can improve results. Advanced strategies such as zero-shot, few-shot, chain-of-thought, and generated knowledge prompting are covered, giving you a toolkit of techniques to apply across different use cases. Ethical considerations are woven into the learning path, ensuring you understand the risks and responsibilities of using generative AI. By the end, you will have a practical set of skills and best practices to design prompts that maximize the potential of generative AI while maintaining ethical awareness. Whether you are new to AI or looking to improve your interactions with large language models, this course provides a solid foundation in prompt engineering.
Pricing and availability can change. Always check the provider page.
Generative AI is only as good as its prompts.— Amber Israelsen
Pluralsight
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