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学生对 IBM 提供的 Generative AI: Prompt Engineering Basics 的评价和反馈

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6,596 个评分

课程概述

As generative AI (GenAI) reshapes workplaces and job roles, using it effectively is now essential. Prompt engineering is the key to directing GenAI models and refining their output for desired results. This course is for professionals, executives, students, and AI enthusiasts ready to harness prompt engineering to unlock tools like ChatGPT. You’ll learn practical techniques, structured methods, and best practices for crafting strong prompts. Explore zero-shot and few-shot prompting to boost reliability and output quality. Discover advanced methods such as the Interview Pattern, Chain-of-Thought, and Tree-of-Thought to produce accurate, context-aware responses. Hands-on labs and projects provide experience with multimodal prompting, the playoff method, and image generation. You’ll practice blending text and visuals and evaluating AI outputs for precision and usefulness. Podcasts, dialogues, and discussions link theory to real-world scenarios, while expert insights highlight strategies for effective prompt use. A final project and graded assessments ensure you can apply these techniques with confidence, leaving you with practical, job-ready skills. Hear from practitioners about the techniques and artistry behind writing impactful prompts. Enroll today to master prompt engineering and unlock GenAI’s potential....

热门审阅

IR

Jul 18, 2025

this course is vey usefull to get into a prompt engineering . it is usefull for every one who need to move with AI to improve there domain

DV

Apr 21, 2024

Excellent Course. Thoroughly explains all of the basics and terms of prompt engineering. Breaks everything down so that learners can comprehend the material. Would reccomend to anyone!

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1551 - Generative AI: Prompt Engineering Basics 的 1575 个评论(共 1,918 个)

创建者 Subramanian N

Mar 13, 2025

good

创建者 SANTIAGO M

Mar 3, 2025

melo

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Mar 3, 2025

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创建者 Julio M R

Feb 17, 2025

Nice

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Feb 8, 2025

Best

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Dec 14, 2024

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Dec 4, 2024

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Nov 21, 2024

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Nov 14, 2024

Melo

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Nov 11, 2024

Hola

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Nov 3, 2024

bien

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Oct 29, 2024

Bien

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Oct 21, 2024

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Oct 16, 2024

Buen

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Oct 7, 2024

nice

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Oct 6, 2024

Bien

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Oct 4, 2024

Melo

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Sep 23, 2024

شكرا

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Sep 13, 2024

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Sep 4, 2024

good

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Sep 2, 2024

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Aug 29, 2024

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Aug 28, 2024

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Aug 28, 2024

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Aug 13, 2024

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