Deep Generative Models Courses and Certifications

Probabilistic AI School

Deep Generative Models 1 - Lecture

Explore deep generative models with experts, covering fundamental concepts and advanced techniques in probabilistic AI. Gain insights into cutting-edge research and applications.

• YouTube
• 2 hours 23 minutes
• Self-Paced
• Free Video

Probabilistic AI School

Deep Generative Models - Lectures 2 and 3

Explore advanced deep generative models with expert insights on latest techniques, applications, and theoretical foundations in probabilistic AI.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Creative Applications of Deep Learning with TensorFlow

45 ratings

Build deep networks in TensorFlow for creative work: train convolutional nets, autoencoders, GANs and recurrent nets, then generate content with Deep Dream and Style Net.

• Kadenze
• 60 hours
• Self-Paced
• Free Online Course

Generative Deep Learning with TensorFlow

317 ratings at Coursera

Build generative models in TensorFlow: neural style transfer, DNN and CNN autoencoders for denoising, variational autoencoders for anime faces, and GANs that generate faces.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Deep Learning: GANs and Variational Autoencoders

3386 ratings at Udemy

Generative Adversarial Networks and Variational Autoencoders in Python, Theano, and Tensorflow

• Udemy
• 7 hours 52 minutes
• Self-Paced
• Paid Course

Generative AI Part 2

Study the mathematics of deep generative models: transformer pretraining, VAEs and ELBO, normalizing flows, GANs, energy- and score-based models, diffusion processes, and annealed importance sampling.

• Coursera
• 7 weeks, 3 hours a week
• Self-Paced
• Paid Course

Deep Learning for AI Part 2

Study advanced generative modeling: autoregressive models, DDPM diffusion, energy-based models and normalizing flows, applied in CLIP, DALL-E 2, Stable Diffusion and music generation.

• Coursera
• 7 weeks, 3 hours a week
• Self-Paced
• Paid Course

Core generative models and techniques

Compare GANs, autoregressive, and diffusion models, then forecast time-series in Azure AI Foundry, edit images with inpainting and outpainting, and build pipelines in Azure ML Designer.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Introduction Course to Autoencoders, VAEs, and GANs

Implement autoencoders, variational autoencoders, and GANs in TensorFlow: compress and reconstruct data, generate MNIST images, and train generator-discriminator pairs to produce realistic fakes.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course

Programming Generative AI: Foundations

Learn what deep generative modeling is, compare model architectures and their trade-offs, then program in PyTorch with tensors, automatic differentiation, GPU acceleration, and neural networks.

• Coursera
• 5 hours 32 minutes
• Self-Paced
• Paid Course

Career Certificate

Programming Generative AI

Build multimodal generative AI systems with PyTorch and Hugging Face: manipulate data, train neural networks, fine-tune large pre-trained models, and generate images from text.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 3 courses

Edureka

Generative AI Models and GPU Systems

Explore autoencoders, VAEs, GAN dynamics, DDPM and latent diffusion, then scale training with mixed precision, distributed data parallel, and production GPU deployment.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Mastering Generative Vision & Video: From GAN to Flow to DiT

29 ratings at Udemy

VAEs · Diffusion · ControlNet · Flux · Sora-Style Video Generation · Audio-Visual Sync

• Udemy
• 32 hours
• Self-Paced
• Paid Course

Generative AI for Computer Vision

Explores deep generative models for computer vision, from GANs and VAEs to diffusion, transformers, multimodal models, and agentic image synthesis.

• Swayam
• Available until Oct 9, 2026
• Free Online Course

Mathematical Foundations of Generative AI

Explores the probabilistic foundations, learning algorithms, and PyTorch implementations of major deep generative model architectures.

• Swayam
• Available until Oct 9, 2026
• Free Online Course