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

4.8
392 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

AL

Aug 28, 2024

This is a must-take course if you are keen in advancing your prompt engineering knowledge and skillset gameplan. It gets better as Dr Jules White spins deeper iterations on prompt engineering.

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.

筛选依据:

76 - Advanced Prompt Engineering for Everyone 的 100 个评论(共 106 个)

创建者 Manohar P N

Nov 28, 2024

Good for the beginners

创建者 Partha D

Aug 27, 2025

Excellent course.

创建者 Dan E

Oct 26, 2024

Excellent Course.

创建者 Kevin1

Jun 2, 2025

Excellent course

创建者 Yahya S

Apr 24, 2025

Great Instructor

创建者 Nazariy K

Feb 17, 2025

very good course

创建者 Caio C P O

Jun 27, 2025

Fantástico!!!

创建者 Thomas S

Apr 18, 2025

Great course

创建者 Todd H

Apr 28, 2025

Excellent!

创建者 Fina A

Mar 10, 2025

very good

创建者 Kage C

Jun 12, 2025

awasmoe

创建者 Mohammad N

Sep 14, 2025

Great

创建者 Leo K

Jul 20, 2025

nice

创建者 Gracie K

Jun 3, 2025

wow!

创建者 Rina M

Apr 20, 2025

good

创建者 Melisa Ç

Sep 15, 2024

cool

创建者 Aakash K

Sep 20, 2025

ok

创建者 Maratov D M

Apr 24, 2025

ok

创建者 StreamingAddict 1 (

Jun 29, 2025

Not bad, but you would have had to worked with ChatGPT or an AI client or be taking a course in Large Language Models (LLM) to kind of understand what is going on.

创建者 Heath A

Aug 29, 2025

Solid overview and examples to make the most out of your prompt engineering techniques.

创建者 Jeff Y

Aug 12, 2024

The information presented on prompt components and markdown is very helpful.

创建者 KONSTANTINOS G

Sep 16, 2024

Θα ήθελα να είναι μεταφρασμένο στα Ελληνικά

创建者 Murray S

Jan 20, 2025

Good overview of the topic.

创建者 Rainer B

Oct 11, 2024

very well explained

创建者 Oleksandr Z

Dec 28, 2024

Not deep enough