30 Aug 2025 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
31 Aug 2025 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
06 Sep 2025 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
07 Sep 2025 | 24 | 06:00 PM - 09:00 PM | Sat, Sun |
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30 Aug 2025 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
31 Aug 2025 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
06 Sep 2025 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
07 Sep 2025 | 24 | 06:00 PM - 09:00 PM | Sat, Sun |
Course Price At
Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.
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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 AI Course models, positioning themselves for advanced roles in AI development, computer vision, and generative technologies across industries like healthcare, gaming, media, and cybersecurity.
Generative Adversarial Networks (GAN) – Essentials training is a foundational course designed to introduce learners to the core principles, architecture, and applications of GANs in artificial intelligence. It covers how GANs work using generator and discriminator models, explores real-world use cases, and includes hands-on practice with tools like TensorFlow or PyTorch. Ideal for beginners, this course builds essential skills for implementing GANs in deep learning projects.
Yes, the course is delivered through instructor-led online training, allowing you to learn from anywhere.
Absolutely. The training includes hands-on labs, real-time demonstrations, and mini-projects to solidify your understanding of GANs.
Yes, mastering GANs can significantly boost your profile in AI, especially in areas like computer vision, generative modeling, and research.
You will learn GAN architecture, how generators and discriminators work, training techniques, challenges like mode collapse, loss functions, and applications such as image synthesis and data augmentation.
To contact Multisoft Virtual Academy you can mail us on enquiry@multisoftvirtualacademy.com or can call for course enquiry on this number +91 8130666206