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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

NM

Nov 14, 2024

This course is well suited for anyone curious about AI, informing others, or teaching in the classroom. The examples are assisted by IBM Watsonx.ai, an amazing interactive tool. Get started now!!

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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1551 - Generative AI: Prompt Engineering Basics 的 1575 个评论（共 1,905 个）

创建者 RICARDO R

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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

Good

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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

good

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Sep 4, 2024

good

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Sep 2, 2024

bien

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Aug 29, 2024

Bien

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Aug 28, 2024

nice

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Aug 28, 2024

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Aug 13, 2024

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Jul 28, 2024

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Jul 23, 2024

bien

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Nov 21, 2023

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Aug 7, 2025

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Apr 7, 2025

Nil