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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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759 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

BB

May 19, 2025

The teaching style is amazing and helpful to everyone who is not a natural computer science major. Very enjoyable educational opportunity.

ML

Nov 3, 2024

Lots to learn that goes beyond the basics - I found it a good follow-up to the first prompt engineering course. Enthusiastic instructor who is easy to listen to.

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251 - Advanced Prompt Engineering for Everyone 的 264 个评论（共 264 个）

创建者 Mir T R

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Apr 3, 2026

-

创建者 Waseem R

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Feb 1, 2026

k

创建者 Marvin B

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Nov 18, 2025

As a Lawyer, when u say u invented "Template pattern" I can understand that. If you mean you took the existing widely used and known idea involved in the pattern and gave it a name. IF you are saying you made the concept in anyway that is... a really bad claim. My issue with this course is, again, the professor is far too much into CHATgpt and making videos. I needed to know this "(Retrieval Approaches: Search, Databases, & Embeddings)", but deeply do not trust the professor because I am not coming to this blind. I know what is wrong, and if paid, could strictly point it out. A professor must led the course, you are not a student and please be objective.

创建者 Fernando C

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Mar 23, 2025

Curso que aporta interesantes sugerencias y técnicas para mejorar nuestros prompts. Hubiera deseado que fuera más interactivo y que propusiera más ejemplos.

创建者 JOSE L S L

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Sep 24, 2025

I didn’t like the course; it was really boring and had very few useful things. Just a lot of empty talk.

创建者 coaquira p

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Jul 1, 2025

no estaba subtitulado al español.

创建者 Makesh S

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Feb 13, 2026

Excellent experience

创建者 Tabassum S

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Feb 5, 2026

very useful course

创建者 KOLAGANI S B

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Apr 4, 2026

Nice

创建者 Sushil H

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Feb 24, 2026

Good

创建者 Ajaz A B

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Feb 22, 2026

good

创建者 ut

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Apr 1, 2026

,

创建者 Hari P P

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Apr 4, 2026

Nice

创建者 Dipak N

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Mar 31, 2026

good