Autoencoders Courses and Certifications

Microcredential

Mastering Dimensionality Reduction with Python

Master Python-based dimensionality reduction techniques from PCA to autoencoders, learning to extract essential features from complex datasets and optimize machine learning model performance through hands-on practice.

• CodeSignal
• On-Demand
• Free Certificate
• 5 courses

Advanced Neural Network Techniques

Master advanced neural network architectures including RNNs, Autoencoders, GANs, and Deep Reinforcement Learning through hands-on projects and real-world applications, from mathematical foundations to practical implementation.

• Coursera
• 10 hours 48 minutes
• On-Demand
• Free Online Course (Audit)

Deep Learning Methods for Healthcare

13 ratings at Coursera

Explore deep learning methods for healthcare applications, covering embedding, CNNs, RNNs, and autoencoders. Gain practical experience through labs, assignments, and a large project with potential for publication.

• Coursera
• 22 hours
• On-Demand
• Free Online Course (Audit)

Deep Learning A-Z 2025: Neural Networks, AI & ChatGPT Prize

47449 ratings at Udemy

Learn to create Deep Learning models in Python from two Machine Learning, Data Science experts. Code templates included.

• Udemy
• 22 hours 31 minutes
• On-Demand
• Paid Course

A deep understanding of deep learning (with Python intro)

4867 ratings at Udemy

Master deep learning in PyTorch using an experimental scientific approach, with lots of examples and practice problems.

• Udemy
• 2 days 9 hours 20 minutes
• On-Demand
• Paid Course

Unsupervised Deep Learning in Python

2394 ratings at Udemy

Autoencoders, Restricted Boltzmann Machines, Deep Neural Networks, t-SNE and PCA

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

TensorFlow 2.0 Practical Advanced

346 ratings at Udemy

Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 5 advanced practical projects

• Udemy
• 12 hours 38 minutes
• On-Demand
• Paid Course

TensorFlow and the Google Cloud ML Engine for Deep Learning

305 ratings at Udemy

CNNs, RNNs and other neural networks for unsupervised and supervised deep learning

• Udemy
• 17 hours
• On-Demand
• Paid Course

[NEW] 2024: Deep Learning Mastery With Tensorflow2.x & Keras

51 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

38 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

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 7 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Advanced PyTorch Techniques and Applications

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 8 minutes
• On-Demand
• Free Online Course (Audit)

Edureka

Generative AI Foundations

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
• 8 hours 24 minutes
• On-Demand
• Free Online Course (Audit)

Mastering Deep Learning

Comprehensive exploration of Artificial Neural Networks and Convolutional Neural Networks, covering fundamental principles, applications, and practical implementation in diverse domains.

• Swayam
• 6 weeks
• On-Demand
• Free Online Course

IIT Kharagpur;  NPTEL

Deep Learning For Visual Computing

1 review

Deep learning is a genre of machine learning algorithms that attempt to solve tasks by learning abstraction in data following a stratified description paradigm using non-­linear transforma

• Swayam
• 12 weeks
• On-Demand
• Free Online Course