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学生对 Vanderbilt University 提供的 Advanced Prompt Engineering for Everyone 的评价和反馈

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587 个评分

课程概述

Unlock the full potential of generative AI and become a master of prompt engineering. Dive deeper into how you can use In-context Learning to build better and more reliable prompts. See how Retrieval Augmented Generation (RAG) works and what can go wrong that you can counteract with fact-checkable prompt formats. Overcome your struggles in getting the right output from generative AI models with template-based output formats to achieve precision in your interactions with AI models. Tap into powerful AI capabilities for tasks ranging from social media comment analysis to survey results interpretation and beyond. This course will empower you with the skills needed to build exceptional prompts, using simple techniques, such as preference-driven refinement, and become and expert in leveraging generative AI for productivity and creativity. What You Will Learn: In-Context Learning: Understand how to provide context within prompts to guide AI models towards more accurate and relevant outputs. Learn techniques to embed contextual information that enhances the model’s understanding and performance. Retrieval Augmented Generation (RAG): Explore how to integrate retrieval systems with generative models to provide more precise and informed responses. This module covers the mechanisms to combine the strengths of both retrieval and generation. Template Pattern and Examples: Master the art of crafting template-based prompts to achieve consistent and desired outputs. Learn how to tell generative AI to fit its output into your format and overcome struggles with getting exactly what you want. Tapping Into AI Capabilities for Everyday Use: Delve into practical applications such as analyzing social media comments, interpreting survey results, and other everyday tasks where generative AI can make a significant impact. Gain hands-on experience with real-world examples. Building Great Prompts: Discover simple methods for constructing effective prompts. Learn how preference-driven refinement can elevate your prompt engineering skills, ensuring that outputs meet your exact needs and preferences....

热门审阅

RM

Aug 21, 2024

It helped me better understand in-context learning and working with unformatted text data. I was able to start using the techniques immediately. Jules White is a very pragmatic instructor.

GT

Sep 5, 2024

As with all of your other classes this is outstanding. Thank you for producing professional prompt engineering classes.

筛选依据：

101 - Advanced Prompt Engineering for Everyone 的 125 个评论（共 178 个）

创建者 Ashoni K

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Feb 8, 2026

Excellent course

创建者 Jannu K

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Feb 3, 2026

very good course

创建者 Dr H H

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Feb 1, 2026

very informative

创建者 Abdul R S

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Jan 31, 2026

very good course

创建者 MOHD S R

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Jan 31, 2026

very good course

创建者 7a3f9d27-27a3-4bf0-8e77-756e9b28fbb6 a

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Jan 31, 2026

excellent course

创建者 Prashant K

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Jan 1, 2026

Excellent course

创建者 Kevin1

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Jun 2, 2025

Excellent course

创建者 Yahya S

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Apr 24, 2025

Great Instructor

创建者 Nazariy K

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Feb 17, 2025

very good course

创建者 Caio C P O

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Jun 27, 2025

Fantástico!!!

创建者 Thomas S

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Apr 18, 2025

Great course

创建者 Mohd T D

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Feb 19, 2026

good course

创建者 Shyam L

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Feb 16, 2026

Nice course

创建者 Gurneet K

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Feb 14, 2026

INFORMATIVE

创建者 MUKHTAR A R

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Feb 1, 2026

informative

创建者 Bilal A K

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Jan 31, 2026

Good course

创建者 Virinder K

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Jan 29, 2026

Good Course

创建者 Todd H

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Apr 28, 2025

Excellent!

创建者 Tarkeshwar K

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Feb 10, 2026

excellent

创建者 Arshid A P

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Feb 4, 2026

excellent

创建者 Bilal A D

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Feb 2, 2026

Excellent

创建者 Mahroof K

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Jan 31, 2026

excellent

创建者 Gayatri R D

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Nov 5, 2025

VERY GOOD

创建者 Fina A

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Mar 10, 2025

very good