Recurrent Neural Networks (RNN) Courses and Certifications

Jay Alammar

The Unreasonable Effectiveness of RNNs - Article and Visualization Commentary

Explore the groundbreaking potential of RNNs in NLP through an insightful commentary on Karpathy's influential article, covering character-level models, visualizations, and their impact on modern AI.

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

Yannic Kilcher

RWKV- Reinventing RNNs for the Transformer Era

Explore RWKV, a novel architecture combining Transformer and RNN strengths. Learn about its linear attention mechanism, scalability, and performance in NLP tasks.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Intermediate Deep Learning with PyTorch

21 ratings at DataCamp

Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Deep Learning for Text with PyTorch

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Keras Fundamentals

Take your machine learning skills to the next level. Use the Keras library to create and optimize neural networks to model complex data types.

• DataCamp
• 16 hours
• Self-Paced
• Free Trial Available

Natural Language Generation in Python

Imitate Shakespear, translate language and autocomplete sentences using Deep Learning in Python.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Deep Learning A-Z 2026: Neural Networks, AI & ChatGPT Prize

49373 ratings at Udemy

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

• Udemy
• 22 hours 33 minutes
• Self-Paced
• Paid Course

Complete Guide to TensorFlow for Deep Learning with Python

17101 ratings at Udemy

Learn how to use Google's Deep Learning Framework - TensorFlow with Python! Solve problems with cutting edge techniques!

• Udemy
• 14 hours 10 minutes
• Self-Paced
• Paid Course

Natural Language Processing in TensorFlow

6536 ratings at Coursera

Learn to process text, tokenize sentences, and apply RNNs, GRUs, and LSTMs in TensorFlow for natural language processing tasks, including sentiment analysis and poetry generation.

• Coursera
• 23 hours 7 minutes
• Self-Paced
• Paid Course

Advanced Modeling for Text Classification

Master advanced text classification using ensemble methods, deep learning, and neural networks with Python and TensorFlow. Build robust models using bagging, voting classifiers, gradient boosting, and RNNs for improved performance.

• CodeSignal
• 6 hours
• Self-Paced
• Free Certificate

Sequence Models & The Dawn of Attention

Discover why RNNs and LSTMs fail with long sequences, then master attention mechanisms by building QKV paradigms and reusable PyTorch modules from scratch.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Credential

Exploring the Transformer Architecture

Master Transformer architecture by building attention mechanisms from scratch, then fine-tune state-of-the-art NLP models using Hugging Face for real-world deployment.

• CodeSignal
• 14 hours
• Self-Paced
• Free Certificate
• 4 courses

Introduction to RNNs for Time Series Analysis

Master RNN, LSTM, and GRU models for time series forecasting and classification with hands-on techniques for univariate and multivariate data analysis.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Handling Multivariate Time Series with RNNs

Master multivariate time series forecasting with RNNs using Air Quality data, covering preprocessing, model building, and evaluation techniques for accurate predictions.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Time Series Forecasting with LSTMs

Master LSTM networks for time series forecasting by building, optimizing, and evaluating models that handle long-term dependencies effectively.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate