Generative AI is distinct from other forms of AI in that it does not merely analyze or classify data, but instead, it creates new data that is similar to the input it has been trained on. This ability to generate new content—whether it be text, images, music, or even complex data structures—makes Generative AI a powerful tool across various industries, from entertainment and art to data science and research.
Throughout the course, you will explore the key concepts of Generative AI, learning how neural networks and deep learning models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) are employed to generate content. You’ll also gain insights into the practical applications of Generative AI, such as creating realistic human portraits, generating music, and developing synthetic data for training other AI models. Additionally, the course will delve into the ethical considerations and challenges associated with Generative AI, including issues related to data privacy, bias, and the potential for misuse.
Moreover, this course introduces Google’s suite of tools that facilitate the development of Generative AI applications. You’ll learn how to leverage these tools to build your own Generative AI models, making the technology accessible even to those with limited coding experience.
Upon completion of the course, you will earn a badge that signifies your understanding and skills in Generative AI. This badge can be proudly displayed on your profile page, allowing you to showcase your expertise to potential employers and colleagues. By completing this course, you are taking a significant step forward in your cloud computing career, equipping yourself with cutting-edge skills that are highly sought after in today's tech-driven world.
Click the below to learn Generative AI
Google Cloud Generative AI
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Cyber Security Program
Application Deadline
19th August-2024
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