Neural networks courses can help you learn the basics of architecture design, backpropagation, activation functions, and optimization techniques. You can build skills in training models, tuning hyperparameters, and evaluating performance metrics. Many courses introduce tools like TensorFlow and PyTorch, that support implementing neural networks in practical applications such as image recognition, natural language processing, and predictive analytics.

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Training, Machine Learning Methods, Fine-tuning, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Artificial Neural Networks, Model Training, Applied Machine Learning, Data Preprocessing, Machine Learning, Data Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Generative AI, Large Language Modeling, Token Optimization, Embeddings, Generative Model Architectures, Data Pipelines, Data Preprocessing, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Model Optimization, Model Training, Supervised Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Fine-tuning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Tensorflow, Predictive Modeling, Model Optimization, Model Training, Interactive Data Visualization, Time Series Analysis and Forecasting, Model Evaluation
Advanced · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Model Training, Deep Learning, Performance Analysis, Artificial Neural Networks, Resource Utilization
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Transfer Learning, Tensorflow, Dimensionality Reduction, Model Training, Network Architecture
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Fine-tuning, Tensorflow, Natural Language Processing, Network Architecture
Advanced · Course · 1 - 3 Months

Whizlabs
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Model Training, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning Methods, Model Optimization, Network Architecture
Intermediate · Course · 1 - 4 Weeks

Universidades Anáhuac
Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Model Training, Model Deployment, Computer Vision
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Application Development, Predictive Modeling, Model Optimization
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Model Deployment, Model Training, AI Security, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Keras (Neural Network Library), Network Model, Project Performance
Intermediate · Course · 1 - 4 Weeks