Variational Autoencoder (VAE) Courses and Certifications

Broad Institute

Structured Variational Autoencoders for Prediction and Optimization; Diffusion for Molecule Generation - Primer

Explore structured variational autoencoders for prediction and optimization, along with diffusion models for molecule generation in drug discovery, focusing on deep generative models and their applications in temporal data modeling.

• YouTube
• 1 hour 44 minutes
• Self-Paced
• Free Video

Valence Labs

Identifiable Deep Generative Models via Sparse Decoding

Explore sparse VAE for unsupervised learning, uncovering identifiable latent factors in high-dimensional data. Discover theoretical guarantees and practical applications in various domains.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Conference GSI

Continuous Kendall Shape Variational Autoencoders

Explore unsupervised learning of geometric representations using equivariant VAEs with hyperspherical latents, extending Kendall-shape VAEs for improved representation capacity.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

CITA Presentations

Generative NonGaussianity - Normalizing Flows and Variational Autoencoders

Explore advanced machine learning techniques for generating non-Gaussian distributions, focusing on normalizing flows and variational autoencoders for complex data transformation and generation.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Generative Memory Lab

CoVAE - Consistency Training of Variational Autoencoders

Discover how consistency training improves Variational Autoencoders through CoVAE methodology, enhancing generative model performance and stability in deep learning applications.

• YouTube
• 1 hour 28 minutes
• Self-Paced
• Free Video

Prodramp

All Things VQGAN - Variational AutoEncoder and VQ-VAE with Codebook Explanations - Part 2

Explore Variational AutoEncoders and Vector Quantized VAE, focusing on codebook explanations. Learn how these advanced techniques improve upon traditional autoencoders for better image generation and representation.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Credential

TensorFlow: Advanced Techniques

1690 ratings at Coursera

Expand TensorFlow expertise with advanced techniques in Functional API, model optimization, computer vision, and generative deep learning for powerful AI applications.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Generative AI and LLMs: Architecture and Data Preparation

421 ratings at Coursera

Explore generative AI architectures, LLMs, and data preparation techniques. Learn tokenization, data loading, and practical implementation using popular libraries for NLP and AI applications.

• Coursera
• 5 hours 41 minutes
• Self-Paced
• Paid Course

Deep Learning: GANs and Variational Autoencoders

3384 ratings at Udemy

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

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

Probabilistic Deep Learning with TensorFlow 2

109 ratings at Coursera

Explore probabilistic deep learning with TensorFlow Probability, covering distributions, Bayesian neural networks, normalizing flows, and variational autoencoders. Gain hands-on experience through coding tutorials and a capstone project.

• Coursera
• 2 days 4 hours 34 minutes
• Self-Paced
• Paid Course

Generative AI for Data Science with Copilot

37 ratings at Coursera

Explore generative AI in data science using Microsoft Copilot. Learn key concepts, practical applications, and ethical considerations while enhancing your AI-driven data analysis skills.

• Coursera
• 6 hours 54 minutes
• Self-Paced
• Paid Course

Credential

Generative AI Models and Transformer Networks Certification

13 ratings at Coursera

Master Generative AI from autoencoders to transformers. Build VAEs, GANs, and deploy GPT/BERT models with RAG techniques for real-world applications using TensorFlow.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera

Generative AI and Large Language Models

11 ratings at Coursera

Discover generative AI fundamentals, from GANs to transformers, with hands-on experience using GPT, Hugging Face, and diffusion models for real-world applications.

• Coursera
• 1 day 3 hours 16 minutes
• Self-Paced
• Paid Course

Machine Learning with Small Data Part 2

Master advanced ML techniques for limited datasets: multi-task learning, meta-learning, NeRF, diffusion models, and 3D Gaussian Splatting for real-world data constraints.

• Coursera
• 11 hours 34 minutes
• Self-Paced
• Paid Course

Introduction Course to Autoencoders, VAEs, and GANs

Master autoencoders, VAEs, and GANs through hands-on implementation with TensorFlow, building realistic image generators and understanding adversarial training dynamics.

• Coursera
• 3 hours 55 minutes
• Self-Paced
• Paid Course