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.

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Network Architecture
★ 4.9 (43K) · Intermediate · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Model Deployment, Model Training, Deep Learning, PyTorch (Machine Learning Library), Scalability, Docker (Software), 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, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Fine-tuning, Model Optimization, Model Training, Classification Algorithms, Design
★ 5 (22) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Model Optimization, Network Architecture
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Model Training, Tensorflow, Data Collection, Model Evaluation, Google Cloud Platform, Cloud Computing
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, Model Training, Machine Learning
★ 4.8 (10) · Intermediate · Course · 1 - 4 Weeks

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, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Model Training, Forecasting, Machine Learning, Predictive Modeling, NumPy, Regression Analysis, Data Preprocessing
★ 4.7 (6) · Intermediate · Specialization · 1 - 3 Months
University of Washington
Skills you'll gain: Network Model, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Mathematical Modeling, Recurrent Neural Networks (RNNs)
★ 4.6 (1.1K) · Beginner · Course · 1 - 3 Months
Skills you'll gain: Convolutional Neural Networks, Random Forest Algorithm, Recurrent Neural Networks (RNNs), Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Computer Vision, Classification Algorithms, Natural Language Processing
★ 4.9 (15) · Intermediate · Course · 1 - 3 Months

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

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: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Fine-tuning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Natural Language Processing
Intermediate · Course · 1 - 3 Months