Generative AI is reshaping the field of artificial intelligence by enabling machines to create new content, adapt to different tasks, and support innovative applications.
Unlike traditional AI systems that mainly focus on classification and prediction, generative AI models can produce new text, images, code, audio, and other forms of digital content. These capabilities are opening new possibilities across education, business, engineering, software development, and creative industries.
In this course, you will explore the fundamental concepts of generative AI, including the differences between generative and discriminative models, how modern generative systems work, and how they are applied in real-world environments.
By the end of the course, you will have a clear understanding of the principles, capabilities, limitations, and practical applications of modern generative AI technologies.
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