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Vanderbilt University

Advanced Prompt Engineering for Everyone

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.

状态:Model Evaluation
状态:Prompt Patterns
中级课程小时

精选评论

RM

5.0评论日期: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.

DA

5.0评论日期:Aug 25, 2025

This course went much deeper than my expectation and gave me an understanding of how LLMs work so that I can think through my prompt engineering solutions.

DV

5.0评论日期:Sep 5, 2024

Jules has so much insight into prompt engineering and why what he is teaching is important. I really appreciate his approach to teaching.

CJ

5.0评论日期: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.

JP

5.0评论日期:Aug 3, 2024

Great course, very clearly explained, and the skills labs provide a timely way to practice the lecture material. Recommended!

GT

5.0评论日期:Sep 5, 2024

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

UK

5.0评论日期:Feb 4, 2025

Beautifully crafted, point-to-point explanation, thoughtfully designed assignments. Thank you for such a great course.

MK

5.0评论日期:Apr 20, 2025

Very clearly presented. Level of enthusiasm, explanation and engagement have been really appreiated.

MS

5.0评论日期:Jul 2, 2025

This was such an interesting and useful course! Really enjoyed it and look forward to doing more courses by Jules.

LB

4.0评论日期:Sep 5, 2024

Very good course, my only feedback was the examples were sometimes a little convoluted - maybe work with a real life example outside of promoting your genaicourse.

S

4.0评论日期:Jun 28, 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.

AL

5.0评论日期: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.

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Adam Cotton
5.0
评论日期:Mar 29, 2025
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评论日期:Aug 15, 2024
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评论日期:Nov 4, 2024
Mark Gillespie
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评论日期:Aug 3, 2024
Upasana Kumari
5.0
评论日期:Feb 5, 2025
ML K
5.0
评论日期:Apr 21, 2025
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评论日期:Mar 19, 2025
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מעין מרגולין
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评论日期:Oct 30, 2025
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评论日期:Nov 28, 2025
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评论日期:Nov 24, 2025
D
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评论日期:Dec 12, 2024