02 · Curriculum
What's in the course.
- Introduction to GANsReading
- Play with GANsReading
- Theory of GANsReading
- Vanilla GAN: Hands-onReading
Generative AI · Intermediate
Build your own Generative Adversarial Networks (GANs) from Scratch
Generative Adversarial Networks (GANs) have generators and discriminators, which allows the researcher to generate more data. It is a class of machine learning designed by Ian Goodfellow and his colleagues in 2014. GANs are used in various…
- 12+
- enrolled
- 7 hrs
- of instruction
- 7
- lectures
- 4
- modules
01 · What you'll be able to do
Three things you can ship afterwards.
Generative Adversarial Networks (GANs) have generators and discriminators, which allows the researcher to generate more data. It is a class of machine learning designed by Ian Goodfellow and his colleagues in 2014. GANs are used in various applications today and are considered as one of the top domains in future AI Applications. With an increasing demand for professionals to have hands-on experience with the GANs technology, we are bringing an extensive workshop which will allow the developers to learn and implement their own (GANs) from Scratch. Outline Introduction to GANs The Theory of GANs Building a Vanilla GAN model Challenges in GANs Play with GANs Note: ADaSci Members get 50% discount and Premium Members get 100% discount on the course.
Gain a deep understanding
Gain a deep understanding of GANs, exploring their architecture, training methods, and diverse applications.
Learn step-by-step how
Learn step-by-step how to create GANs, starting from the fundamentals and progressing to advanced techniques, enabling you to develop your own models.
Acquire practical skills
Acquire practical skills to deploy GANs in real-world scenarios across multiple domains, from computer vision and image generation to data augmentation and more.
04 · Is it for you?
Who it's for, and what to bring.
Built for
- Beginners in Generative AI
Bring with you
- A basic understanding of machine learning principles and neural networks will be beneficial. Comfort with Python programming languages is essential.
05 · FAQ
Before you enrol.
It is self-paced, with 7 lectures across 4 modules.
$34.99
Related credentials
Certified Generative AI Engineer (CGAE)
An upskilling-linked certification initiative designed to recognize talent in generative AI and large language models
Certified LLMOps Engineer (CLOE)
A globally recognized certification that equips engineers to design, deploy, and operate reliable, secure, and scalable large language model systems across enterprise and cloud environments.
Ready to start?
$34.99, or free with Premium membership.