Long short-term memory (LSTM) Courses and Certifications

RNNs and Transformers

This course covers multiple RNN architectures and discusses design patterns for those models. You'll also learn about transformer architectures.

• Udacity
• 3 hours
• On-Demand
• Paid Course

Advanced Computer Vision and Deep Learning

1 review

Learn to apply deep learning architectures to computer vision tasks. Discover how to combine CNN and RNN networks to build an automatic image captioning application.

• Udacity
• 9 hours
• On-Demand
• Paid Course

Introduction to Long Short Term Memory (LSTM) Training

This comprehensive course on Long Short-Term Memory (LSTM) equips you with the skills to build advanced sequence models for time series forecasting and natural language processing. Begin by understanding the fundamentals of Recurrent Neural Networks (RNN…

• Coursera
• 2 hours 16 minutes
• On-Demand
• Paid Course

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
• On-Demand
• Free Certificate

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
• On-Demand
• Free Certificate

Microcredential

Introduction to RNN for Time Series Forecast with TensorFlow

Master RNN, LSTM, and GRU techniques in TensorFlow for time series preprocessing, modeling, forecasting, and classification across univariate and multivariate datasets.

• CodeSignal
• 4 hours
• On-Demand
• Free Certificate
• 4 courses

Introduction to RNNs for Time Series Analysis

Master RNN, LSTM, and GRU models for time series forecasting and classification using PyTorch with hands-on data preprocessing, model building, and performance evaluation techniques.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

Microcredential

RNNs for Time Series with PyTorch

Master time series forecasting using PyTorch by building RNNs, LSTMs, and GRUs for univariate and multivariate data, progressing to advanced hybrid models and attention mechanisms.

• CodeSignal
• 4 hours
• On-Demand
• Free Certificate
• 4 courses

Master Time Series Analysis and Forecasting with Python 2026

1471 ratings at Udemy

Time Series with Deep Learning (LSTM, TFT, N-BEATS), GenAI (Amazon Chronos), Prophet, Silverkite, ARIMA. Demand Forecast

• Udemy
• 1 day 13 hours 43 minutes
• On-Demand
• Paid Course

Natural Language Processing with Sequence Models

1180 ratings at Coursera

Train neural networks for sentiment analysis, text generation, named entity recognition, and question comparison using advanced NLP techniques like GLoVe embeddings, GRUs, LSTMs, and Siamese models.

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

Applied Time Series Analysis in Python

822 ratings at Udemy

Use Python and Tensorflow to apply the latest statistical and deep learning techniques for time series analysis

• Udemy
• 6 hours 56 minutes
• On-Demand
• Paid Course

Stanford CS224N - Natural Language Processing with Deep Learning 2023

Master cutting-edge neural networks for NLP, from word vectors to Transformers, with hands-on tutorials covering RNNs, attention mechanisms, and modern language models.

• YouTube
• 1 day 5 hours 12 minutes
• On-Demand
• Free Video

Stanford CS224N - Natural Language Processing with Deep Learning - Winter 2021

Master neural networks, transformers, and attention mechanisms for text processing, translation, and language generation through Stanford's comprehensive deep learning approach.

• YouTube
• 1 day 7 hours 31 minutes
• On-Demand
• Free Video

Coursera

Fake News Detection with Machine Learning

264 ratings at Coursera

Train a bidirectional LSTM model to automatically detect fake news, enabling media companies to efficiently identify misinformation without manual review of numerous articles.

• Coursera
• 1 hour 55 minutes
• On-Demand
• Paid Course

Artificial Intelligence III - Deep Learning in Java

255 ratings at Udemy

Deep Learning Fundamentals, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) + LSTM, GRUs

• Udemy
• 8 hours 7 minutes
• On-Demand
• Paid Course