The Generative AI course offers an exciting exploration of cutting-edge AI techniques that create new data, from text to images and beyond. You’ll start by understanding the fundamentals of machine learning and deep learning, laying the groundwork for more advanced topics. The course delves into neural networks, focusing on architectures like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) that enable AI to generate realistic outputs. You’ll learn to train models for text generation with tools like GPT and BERT, as well as image synthesis with tools such as StyleGAN and DALL·E. Hands-on projects guide you through building and fine-tuning these models for specific use cases, from creative content generation to data augmentation. The course also emphasizes ethical considerations, ensuring you understand the implications of generative models in real-world applications. You’ll explore the integration of these AI models in industries like gaming, marketing, and healthcare, expanding your practical knowledge. By the end, you’ll be ready to deploy generative AI systems, blending creativity and technology to solve complex problems.