Recurrent Neural Networks (RNN) Courses and Certifications

The Complete Neural Networks Bootcamp: Theory, Applications

3091 ratings at Udemy

Deep Learning and Neural Networks Theory and Applications with PyTorch! Including Transformers, BERT and GPT!

• Udemy
• 1 day 19 hours 47 minutes
• Self-Paced
• Paid Course

Modern AI Models for Vision and Multimodal Understanding

36 ratings at Coursera

Explore modern vision and multimodal models: SVM kernels and Fourier transforms, probabilistic reasoning with RNNs, Transformers and Vision Transformers, and CLIP with diffusion-based image generation.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Deep Learning for Natural Language Processing

Implement feedforward networks, RNNs with LSTMs and GRUs, attention-based transformers and seq2seq models in Python, then apply transfer learning, pretrained models like BERT, and prompt engineering.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Coursera

Tweet Emotion Recognition with TensorFlow

174 ratings at Coursera

Build and train a recurrent neural network in TensorFlow to classify thousands of tweets into six emotions, a multi-class natural language processing problem.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Deep Learning

36 ratings at Coursera

Learn how deep networks work and are trained: backpropagation, CNNs, RNNs and LSTMs, GANs and diffusion models, transformers, model compression, and transfer learning.

• Coursera
• 9 weeks, 6 hours a week
• Self-Paced
• Paid Course

Advanced Machine Learning and its Applications

Develop and evaluate advanced AI solutions in Python using data preprocessing, neural network optimization, deep learning, and generative models including CNNs, LSTMs, GANs, and diffusion models.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• Paid Course

EDUCBA Career Certificate

Deep Learning with Python: CNN, ANN & RNN

49 ratings at Coursera

Build, train and evaluate CNNs, ANNs and LSTM-based RNNs in TensorFlow and Keras through image recognition, customer churn prediction and stock price forecasting projects.

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

Fundamentals of CNNs and RNNs

40 ratings at Coursera

An introductory survey of CNN and RNN architectures, from convolution and pooling to recurrent models including LSTMs and GRUs.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Create a Superhero Name Generator with TensorFlow

38 ratings at Coursera

Build a character-level language model in TensorFlow that generates superhero names, training a neural network on 9,000+ names and predicting the next character from a seed.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Packt

Building and Training Neural Networks with PyTorch

15 ratings at Coursera

Build and train neural networks in PyTorch: image and audio CNNs, YOLO object detection, neural style transfer, transfer learning, and RNN/LSTM sequence models.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course

EDUCBA

Deep Learning RNN & LSTM: Stock Price Prediction

13 ratings at Coursera

Build an LSTM-based recurrent neural network in Python to forecast Apple stock prices, covering data preprocessing, feature scaling, model training, and visual evaluation of predictions.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Whizlabs

NVIDIA: Fundamentals of NLP and Transformers

10 ratings at Coursera

Learn NLP foundations: tokenization, text preprocessing, word embeddings with CBOW and Skipgram, sequence models RNN, LSTM and GRU, and transformer self-attention and encoder-decoder architectures.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course

Edureka Career Certificate

Mastering NLP: Tokenization, Sentiment Analysis & Neural MT

8 ratings at Coursera

Build NLP applications end to end: apply tokenization, stemming and POS tagging, run sentiment analysis and NER, then train RNN, LSTM and Transformer translation models.

• Coursera
• 16 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 3 courses

Packt Career Certificate

AI Engineer Professional

7 ratings at Coursera

Build advanced AI systems: tune hyperparameters with cross-validation, design CNNs and RNNs, apply transformers and transfer learning, and deploy models with Docker and Kubernetes.

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

Packt Career Certificate

Deep Learning with TensorFlow

6 ratings at Coursera

Build deep learning models in TensorFlow and Keras: artificial neural networks, RNNs, GRUs and LSTMs, and CNNs applied to MNIST, CIFAR-10, time series and image classification.

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