Back to Courses
Intermediate
Artificial Intelligence & Machine Learning
en
Generative AI: From Theory to Product Launch
Educative
Platform
· Washington, USA
About this course
Generative AI (GenAI) is an exciting frontier that unlocks vast creative possibilities. This course introduces the evolution of generative models and machine translation systems, and explains core building blocks such as CNNs, RNNs, autoencoders, GANs, and Transformer networks. You’ll explore components of GenAI systems, including Vision Transformers (ViT) and multimodal transformers, and gain practical experience with state-of-the-art text, image, and video generation models like DistilBERT, GPT-2, GPT-3, DALL·E, Stable Diffusion, and Gen-2. The course emphasizes real-world applications and the impact of GenAI across industries, helping you develop and launch GenAI-based products.
Prerequisite Skills
Skills you should have before taking this course
Python Programming
machine learning fundamentals
Deep learning basics
Skills Gained
Skills you will develop by completing this course
Generative AI
Generative adversarial networks
Transformer networks
Convolutional neural networks (CNNs)
Recurrent neural networks (RNNs)
Autoencoders
Text generation models (GPT, DistilBERT)
Image and video generation (DALL·E, Stable Diffusion, Gen-2)