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Learner Reviews & Feedback for Generative AI: Introduction and Applications by IBM

4.7

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1,796 ratings

About the Course

This course is designed for everyone, including professionals, executives, students, and enthusiasts, interested in learning about generative AI and leveraging its capabilities in their work and lives. This course is your first step toward understanding the capabilities of generative AI, powered by different models, including large language models (LLMs). In this course, you will learn about the fundamentals and evolution of generative AI. You will explore the capabilities of generative AI in different domains, including text, image, audio, video, virtual worlds, code, and data. You will understand the applications of generative AI across different sectors and industries. You will learn about the capabilities and features of common generative AI models and tools, such as GPT, DALL-E, Stable Diffusion, and Synthesia. Hands-on labs, included in the course, provide an opportunity to explore the use cases of generative AI through IBM Generative AI Classroom and popular tools like ChatGPT. You will also hear from the practitioners about the capabilities, applications, and tools of generative AI....

Top reviews

Mar 16, 2024

Generative AI was practically broken in bits for us to really comprehend . You just have to pay attention so you don’t mix the tools and their functions up. Thank you Coursera 🙏🏼 Jennifer MGBEKEN

May 15, 2024

I definitely appreciated that this didn't cover just text-to-image tools. I feel that even if someone is not new to AI, they might do something during this course that they haven't done before.

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By Fabrizzio C

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Mar 29, 2024

Amazing

By Nataël B

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Feb 3, 2024

Love it

By Akshay K

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Dec 10, 2024

Akshay

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Oct 28, 2024

Great!

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Oct 14, 2024

чудово

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Oct 14, 2024

V.Good

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Jan 26, 2025

super

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Sep 17, 2024

Супер

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noice

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Jun 14, 2024

nice!

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great

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Dec 28, 2024

good

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Nov 10, 2024

good

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Oct 28, 2024

good

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Oct 27, 2024

nice

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Oct 13, 2024

good

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Oct 7, 2024

nice

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Sep 23, 2024

شكرا

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Sep 4, 2024

good

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Jun 18, 2024

Good

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Mar 3, 2024

nice

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Jan 10, 2024

Good

By Guanzhong Y

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Dec 28, 2023

简单易懂