Marketing Management: What Is It and Why Does It Matter?
January 22, 2025
Article
(2,951 reviews)
Recommended experience
Beginner level
No prior knowledge of AI or coding skills required.
(2,951 reviews)
Recommended experience
Beginner level
No prior knowledge of AI or coding skills required.
What generative AI is and how it works, its common use cases, and what this technology can and cannot do.
How to think through the lifecycle of a generative AI project, from conception to launch, including how to build effective prompts.
The potential opportunities and risks that generative AI technologies present to individuals, businesses, and society.
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Instructed by AI pioneer Andrew Ng, Generative AI for Everyone offers his unique perspective on empowering you and your work with generative AI. Andrew will guide you through how generative AI works and what it can (and can’t) do. It includes hands-on exercises where you'll learn to use generative AI to help in day-to-day work and receive tips on effective prompt engineering, as well as learning how to go beyond prompting for more advanced uses of AI.
You’ll get insights into what generative AI can do, its potential, and its limitations. You’ll delve into real-world applications and learn common use cases. You’ll get hands-on time with generative AI projects to put your knowledge into action and gain insight into its impact on both business and society. This course was created to ensure everyone can be a participant in our AI-powered future.
10 videos3 readings2 assignments1 app item
10 videos1 reading2 assignments1 app item
11 videos4 readings2 assignments
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
DeepLearning.AI is an education technology company that develops a global community of AI talent. DeepLearning.AI's expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future.
Vanderbilt University
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Reviewed on Nov 18, 2023
I am honoured to take this course, which enriched my knowledge of generative AI. All should take this course to learn the multidisciplinary applications of Generative AI.
Reviewed on Nov 3, 2023
Great course. Andrew explained the Generative AI technology for us in a way so people who don't have technical background can understand while it is still very informative even for the ones who do.
Reviewed on Nov 7, 2023
It was an excellent course that I did since I learned how much Generative AI would touch our lives and assist people in doing so many tasks that they previously spent a lot of time doing.
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The world of AI has changed rapidly in the past 18 months. Large language models (LLMs) and other generative AI applications have taken the world by storm, and continue to evolve. Our new course teaches the most up-to-date information regarding these revolutionary tools and technologies.
This course is designed to provide value to anyone interested in learning about generative AI, its impacts, and how to use it. Business leaders will learn how generative AI can impact business, and how to develop a generative AI strategy to increase productivity, professionals will gain practical experience using AI in the workplace, and AI tools and techniques to apply at work. Developers working outside the world of AI will get a foundational knowledge of the current state of AI that will help in upskilling or reskilling in the realm of AI.
AI is a transformative technology that will impact everyone. Understanding how it works and how to use it puts you in the driver’s seat.
No, this course doesn’t require any prior knowledge of AI or coding skills.
Dr. Andrew Ng is a globally recognized leader in AI (Artificial Intelligence). He is the founder of DeepLearning.AI, Founder & CEO of Landing AI, General Partner at AI Fund, Chairman & Co-Founder of Coursera and an Adjunct Professor at Stanford University’s Computer Science Department.
Learn how to utilize prompt engineering with the GPT-3.5 language model to classify and summarize restaurant reviews efficiently.
3 weeks of study at a pace of 1-2 hours/week
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