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Learner Reviews & Feedback for Generative AI: Prompt Engineering Basics by IBM

4.8

stars

7,441 ratings

About the Course

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....

Top reviews

Feb 2, 2025

Insightful! Glad I pick this up to learn all the science and art around prompt engineering. The hands-on exercise and tips given were very helpful.

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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By Javier G

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Jul 22, 2025

liked it

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Jun 23, 2025

Exclente

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excelete

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no sirve

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excelent

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Feb 17, 2025

good one

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Nov 21, 2024

exelente

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Nov 19, 2024

Exelente

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Oct 29, 2024

completo

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nice one

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muy bien

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Sep 15, 2024

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