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

4.7

stars

7,823 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

Oct 1, 2025

Provide basics of Generative AI Prompt Engineering through instruction, guided online activities, practice quizzes and reinforced by appearances of Industry Practitioners. Excellent Class!

Mar 12, 2026

This is an excellent course for beginners. It clearly aligns the mind to think and write in a particular way that helps in getting better results from the AI tools.

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By Gloria R N

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Oct 19, 2024

chimba

By YIMY M R

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Sep 16, 2024

genial

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Jul 15, 2024

名字认证有错

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bueno

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bueno

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Nice!

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bien

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Jan 30, 2025

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Nov 29, 2024

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Nov 20, 2024

bien

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Sep 14, 2024

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Jun 24, 2025

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