Generative Adversarial Networks (GAN) - Essentials Training

The Generative Adversarial Networks (GAN) – Essentials Training by Multisoft Virtual Academy is designed to provide learners with a solid foundation in one of the most innovative and transformative areas of artificial intelligence. GANs are deep learning models that use a two-network architecture—comprising a generator and a discriminator—to create synthetic data that closely mimics real-world data. This course introduces the core concepts, working principles, and training techniques of GANs, making it ideal for AI and ML professionals, data scientists, and tech enthusiasts eager to explore generative models. Participants will gain hands-on experience with GAN architecture, loss functions, optimization challenges, and evaluation metrics. The course also explores key variants such as DCGAN, CycleGAN, and StyleGAN, offering insights into their use in applications like image generation, video synthesis, text-to-image translation, and data augmentation. Through instructor-led training and real-world examples, learners will understand how to build and train GANs using frameworks like TensorFlow or PyTorch.

By the end of the course, participants will be equipped with practical skills to design, train, and evaluate GAN models, positioning themselves for advanced roles in AI development, computer vision, and generative technologies across industries like healthcare, gaming, media, and cybersecurity.