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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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679 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

CJ

Dec 15, 2025

The delivery of this course was clear, and the assignments allowed for a direct application of the material. Thank you for sharing your expertise, Professor Jules White.

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.

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151 - Advanced Prompt Engineering for Everyone 的 175 个评论（共 245 个）

创建者 Nusrat B

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Mar 9, 2026

excellent

创建者 Jyoti R

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Feb 25, 2026

Satisfied

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

创建者 Neha N

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Apr 5, 2026

exellent

创建者 Phukan R

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Apr 5, 2026

NICE ONE

创建者 Satya P S

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Mar 23, 2026

veryGood

创建者 Deepak B

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Feb 3, 2026

helpful

创建者 Kage C

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Jun 12, 2025

awasmoe

创建者 Amrit L

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Apr 3, 2026

GREAT

创建者 Poonam S

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Mar 17, 2026

great

创建者 Fayaz H B

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Mar 1, 2026

Great

创建者 Mohammad N

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Sep 14, 2025

Great

创建者 SACHIN K

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Apr 5, 2026

Good

创建者 Dnyaneshwar V

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Apr 3, 2026

nice

创建者 Pritam M

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Apr 3, 2026

Good

创建者 Nitin S

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Apr 2, 2026

Good

创建者 PANAGIOTIS M

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Mar 28, 2026

nice

创建者 Paresh T L

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Mar 27, 2026

Good

创建者 Rashi S

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Mar 27, 2026

good

创建者 Rajinder K

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Mar 8, 2026

good