Introduction:

Welcome to "Mastering Generative AI," a comprehensive  course designed to demystify the world of Generative Artificial Intelligence. Whether you're a novice or an experienced professional, this course provides a structured journey through the key concepts and advanced techniques that power the realm of Generative AI.

Section 1: Introduction to Generative AI

In the opening section, we set the stage with a warm welcome and a course overview, followed by a deep dive into the fundamentals of Artificial Intelligence. Discover the different types of learning in AI, unravel the mysteries of Neural Networks, and explore the significance of Deep Learning. This section culminates in a captivating exploration of Generative AI and its real-world applications, complete with a hands-on demo of Deep Learning.

Section 2: Introduction to Generative Models

Moving forward, Section 2 introduces Generative Models, providing a solid foundation for understanding their intricacies. Delve into the diversity of Generative Models .

Section 3: Generative Adversarial Networks (GANs)

The course progresses into the heart of Generative AI with a detailed examination of Generative Adversarial Networks (GANs). Understand their components, explore variants, and witness a live demonstration of generator and discriminator dynamics. Address the challenges, ethical considerations, and future trends in GANs

Section 4: Variational Autoencoders (VAEs)

Section 4 takes you on a journey through Variational Autoencoders (VAEs), exploring their architecture, training methods, and practical applications. Watch a captivating demo showcasing VAEs in action 

Section 5: Autoencoders

Autoencoders take center stage in Section 5, unraveling their architecture, training processes, and real-world applications. Experience the power of Autoencoders in image compression and denoising through a live demo

Section 6: Large Language Models in Generative AI

In Section 6, we introduce Large Language Models (LLMs) and delve into their architecture. Explore the future possibilities of LLMs and witness their real-world applications.

Section 7: Transformer-Based Generative Models

Discover the transformative power of Transformer-Based Generative Models in Section 7. From their introduction to practical applications, including text generation, translation, sentiment analysis, and creative content generation, this section is packed with knowledge. Engage in hands-on demos