2nd Nov, 2024 At 11:26 AM
1st Feb, 2025 At 12:26 PM
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This course provides an in-depth exploration of Generative AI, covering the foundational theories, practical applications, and latest advancements in the field. You’ll learn how generative models create realistic data, images, text, and other outputs through AI-powered techniques. By the end, you will have a solid foundation in Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer models, and you’ll gain hands-on experience building and deploying models for a wide range of applications.
Sateesh A, bringing extensive expertise in AI-driven healthcare solutions. With a background in Engineering (B.E., M.Tech., and Ph.D. in AI for Healthcare), Sateesh has over two decades of experience in technology innovation, spanning roles in top organizations like Samsung, Intel, and Sandisk.
His work focuses on developing advanced AI models for healthcare, including federated learning frameworks, synthetic data generation, and explainable AI models for predictive healthcare applications.
Sateesh has led multiple groundbreaking research projects, authored numerous publications, and presented at international conferences, advancing the field of adaptive, teacher-less education platforms. His vision is to make high-quality education accessible to remote regions through AI, helping learners achieve employability and lifelong learning.
Sateesh’s achievements include recognition as a top tech innovator, participation in elite accelerator programs, and collaboration with esteemed institutions like Stanford, IIIT-B, and IIM-A.
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