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.

John Wiley & Sons
Skills you'll gain: Supervised Learning, Machine Learning Methods, Image Analysis, Statistical Machine Learning, Applied Machine Learning, Computer Vision, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Text Mining, Decision Tree Learning, Advanced Analytics, Convolutional Neural Networks, Model Optimization, Data Science, Data Processing, Logistic Regression
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Model Training, Deep Learning, Model Optimization, Applied Machine Learning, Network Model, Network Architecture, Supervised Learning
Intermediate · Course · 1 - 4 Weeks
University of Washington
Skills you'll gain: Machine Learning Methods, Network Model, Electrophysiology, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Sensory Systems Analysis, Matlab, Mathematical Modeling, Network Analysis, Neurology, Recurrent Neural Networks (RNNs), Physiology, Biology, Differential Equations, Probability Distribution
★ 4.6 (1.1K) · Beginner · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Model Deployment, Model Training, Deep Learning, PyTorch (Machine Learning Library), Scalability, Docker (Software), MLOps (Machine Learning Operations), Application Deployment, Containerization, Model Evaluation, Artificial Neural Networks, Tensorflow, Network Architecture, Configuration Management, Performance Testing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Model Training, Tensorflow, Data Collection, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Model Evaluation, Google Cloud Platform, Cloud Computing, Scientific Visualization
Beginner · Project · Less Than 2 Hours

University of Pennsylvania
Skills you'll gain: Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Model Optimization, Artificial Neural Networks, Applied Machine Learning, Model Training, Machine Learning Algorithms, Machine Learning, Artificial Intelligence
★ 4.8 (10) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Fine-tuning, Model Optimization, Model Training, Computer Vision, Applied Machine Learning, Classification Algorithms, Data Preprocessing, Network Architecture, Design
★ 5 (22) · Mixed · Course · 1 - 4 Weeks

Sungkyunkwan University
Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Machine Learning
★ 4.4 (40) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Scientific Visualization, Applied Machine Learning, Model Training, Classification Algorithms, Predictive Modeling, Deep Learning, Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Diagnostic Tests, Python Programming
★ 4.9 (10) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Fine-tuning, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Model Training, Forecasting, Supervised Learning, Machine Learning, Logistic Regression
★ 4.7 (6) · Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Convolutional Neural Networks, Model Training, Python Programming
★ 4.5 (100) · Intermediate · Guided Project · Less Than 2 Hours

Northeastern University
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Image Analysis, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Deep Learning, Artificial Neural Networks, Autoencoders, Keras (Neural Network Library), Applied Machine Learning, Model Training
Intermediate · Course · 1 - 3 Months