Autoencoders Courses and Certifications

Deep Generative Models - Lecture 6: Variational Autoencoders

Explore Variational Autoencoders (VAEs) in deep generative modeling, covering theoretical foundations and practical applications in this Stanford lecture by Prof. Stefano Ermon.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

[NEW] 2026: Deep Learning Mastery With Tensorflow2.x & Keras

75 ratings at Udemy

Tensorflow-2 & Keras FFN, CNN, RNN, LSTM, GRU, GAN, Autoencoders, Transfer Learning, Data Augmentation, Text/Image Model

• Udemy
• 22 hours 25 minutes
• On-Demand
• Paid Course

Deep Learning Foundation

39 ratings at Udemy

Overview of Deep Learning concepts. Understand what are the Deep Learning Models, Platforms, Libraries and how they work

• Udemy
• 8 hours 52 minutes
• On-Demand
• Paid Course

Deep Learning with TensorFlow and Keras

17 ratings at edX

Become proficient with tensor operations in PyTorch. Learn how to build and train linear regression models from scratch, apply logistic regression for classification tasks, and handle data efficiently while optimizing models using gradient descent techni…

• edX
• 5 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Packt

Advanced PyTorch Techniques and Applications

24 ratings at Coursera

Master advanced PyTorch techniques for recommender systems, autoencoders, GANs, GNNs, and transformers. Explore NLP, model deployment, and optimization using PyTorch Lightning. Ideal for experienced data scientists and ML engineers.

• Coursera
• 11 hours 23 minutes
• On-Demand
• Paid Course

Edureka

Generative AI Foundations

16 ratings at Coursera

Explore Generative AI's foundations, applications, and advanced models. Master prompt engineering, code generation, and cutting-edge techniques like GANs and transformers for innovative AI solutions.

• Coursera
• 9 hours 8 minutes
• On-Demand
• Paid Course

Edureka Microcredential

Generative AI for Software Engineers & Developers

11 ratings at Coursera

Master generative AI tools and techniques to revolutionize your software development workflow, from coding assistants to intelligent applications and secure development practices.

• Coursera
• 16 weeks, 5 hours a week
• On-Demand
• Paid Course
• 4 courses

Microcredential

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 a week
• On-Demand
• Paid Course
• 3 courses

Edureka

Getting Started with Generative AI

Master foundational and advanced Generative AI concepts, from model architectures to deployment strategies, with hands-on experience in GANs, transformers, LLMs, and optimization techniques.

• Coursera
• 18 hours 57 minutes
• On-Demand
• Paid Course

Les coulisses des systèmes de recommandation

Exploration approfondie des systèmes de recommandation, couvrant l'apprentissage automatique, l'évaluation, la modélisation avancée, les bandits contextuels, le classement et l'équité algorithmique.

• edX
• 3 weeks, 29-31 hours a week
• On-Demand
• Free Online Course (Audit)

Packt

Advanced Machine Learning and Deep Learning

Master advanced machine learning and deep learning techniques, from neural networks to CNNs and RNNs. Apply knowledge through hands-on labs, covering regression, classification, and specialized topics like autoencoders and transfer learning.

• Coursera
• 7 hours 22 minutes
• On-Demand
• Paid Course

Image Generation with AI Training Course

Master Stable Diffusion, denoising techniques, and generative learning to create high-quality images from text prompts and build multimodal AI applications with shared embedding spaces.

• Coursera
• 3 hours 6 minutes
• On-Demand
• Paid Course

Programming Generative AI: Unit 2

Explore advanced generative AI techniques for images and text using CNNs, autoencoders, diffusion models, and transformers with hands-on PyTorch and Hugging Face implementation.

• Coursera
• 8 hours 26 minutes
• On-Demand
• Paid Course

Steve Brunton

Deep Learning of Dynamics and Coordinates with SINDy Autoencoders

Discover effective coordinate systems and models simultaneously using SINDy autoencoders, a novel approach for analyzing high-dimensional data in dynamical systems.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Steve Brunton

Physics Informed Machine Learning - Embedding Physics in AI and Discovering New Physics with ML

Discover how to enhance machine learning by embedding physics principles, creating interpretable models that incorporate symmetries, conservation laws, and sparse dynamics.

• YouTube
• 9 hours 56 minutes
• On-Demand
• Free Video