What is Generative AI? | How Generative AI Works | Generative AI Explained for Beginners | Edureka

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In this video, on What is Generative AI , we will dive into Generative AI, exploring its definition, key examples, and diverse applications across sectors like healthcare and education. We'll also discuss how generative AI shapes different fields, highlight its potential future impact, and showcase a practical mini-project. Using the YouTube Transcript API and Google's generative AI, we will learn how to build a video summarizer, providing a hands-on example of generative AI’s capabilities. This video is ideal for tech enthusiasts and beginners alike, as it unpacks generative AI's transformative role in the tech world.

✅ 00:00 - Introduction to Generative AI
✅ 03:05 - What is Generative AI?
✅ 04:10 - Applications of Generative AI
✅ 05:18 - How Generative AI Works?
✅ 06:24 - Examples of Generative AI Tools
✅ 07:40 - Future of Generative AI
✅ 08:32 - How to Build a Video Summarizer?

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What are the Outcomes after learning a Generative AI course ?

Upon completing the Introduction to Generative AI Fundamentals Course, participants will attain the following learning outcomes:
Develop a comprehensive understanding of generative AI
Gain practical experience through interactive sessions and exercises
Familiarize with popular generative AI algorithms
Explore the creative potential of generative AI in generating realistic images, text, music, and other forms of media, fostering innovation and experimentation.
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Why to Learn Generative AI course?

Enroll in the Introduction to Generative AI fundamentals Course to acquire a thorough grasp of generative models, covering everything from basic concepts to cutting-edge uses. Delve into ethical considerations and practical techniques for creating generative AI solutions for actual industry situations, equipping you for various positions in AI advancement and creativity.
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Who should learn Generative AI courses?

This course on Introduction to Generative AI is perfect for individuals aiming to pursue a career in AI, including data scientists, researchers, and developers who wish to explore generative models. It is also beneficial for professionals in various sectors, such as software development, marketing, and retail, who want to utilize AI for problem-solving and innovation.

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