This course introduces you to the exciting world of Generative AI, covering models like GANs, VAEs, and more. Led by industry experts, you'll gain hands-on experience with cutting-edge AI technologies.
By the end of the course, you'll be able to implement generative models, explore advanced topics such as AI ethics, and understand their real-world applications.
Get a foundational understanding of artificial intelligence and machine learning, including different types of AI and the role of machine learning in AI development.
Explore generative models, including GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). Learn their architecture and how they are used to generate new data similar to existing data.
Build and implement your own GANs and VAEs using TensorFlow and PyTorch. Work on projects that generate images, text, and more.
Learn about transformer models, GPT, and applications in natural language processing and image generation. Understand the challenges and future trends in these areas.
Engage in hands-on projects to implement generative models for real-world problems. Review case studies on how companies leverage generative AI for innovation.