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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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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

AA

Jul 22, 2025

Good and useful, in the customization of artificial intelligence, the course focused on the clarity of the guidance in writing accurately, about what you want from the AI.

HD

Jul 24, 2025

This course was an eye-opening introduction into the power of prompt engineering and how strategic inputs can drive more accurate, creative, and relevant responses from generative AI models.

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1751 - Generative AI: Prompt Engineering Basics 的 1775 个评论（共 2,234 个）

创建者 Eliana A A G

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Oct 11, 2024

super

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Oct 4, 2024

bueno

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Sep 30, 2024

Epico

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Sep 23, 2024

Good!

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Sep 16, 2024

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Sep 6, 2024

bueno

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Aug 28, 2024

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Aug 25, 2024

bueno

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Aug 22, 2024

Bueno

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Aug 10, 2024

bueno

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Aug 8, 2024

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Aug 2, 2024

buena

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Dec 2, 2025

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Nov 23, 2025

good

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Nov 19, 2025

Bien

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Nov 18, 2025

MELA

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Nov 17, 2025

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Nov 14, 2025

Melo

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Nov 13, 2025

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Oct 29, 2025

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Sep 26, 2025

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Sep 23, 2025

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