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: Generative AI, Generative Model Architectures, Jupyter, Sampling (Statistics), Artificial Neural Networks, Algorithms
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Reinforcement Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Tensorflow, Machine Learning, Artificial Intelligence, Artificial Neural Networks, Computer Science, Algorithms, Data Processing, Python Programming
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Machine Learning Algorithms, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Cloud Deployment, Tensorflow, Amazon Web Services, Convolutional Neural Networks, Model Deployment, Application Development, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Data Preprocessing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Tensorflow, Applied Machine Learning, Data Preprocessing, Jupyter, Matplotlib, Visualization (Computer Graphics)
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Recurrent Neural Networks (RNNs), Machine Learning Algorithms, Model Evaluation, Exploratory Data Analysis, Dimensionality Reduction, Convolutional Neural Networks, Applied Machine Learning, Generative Adversarial Networks (GANs), Decision Tree Learning, Autoencoders, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Classification Algorithms, Artificial Neural Networks, Data Science, Machine Learning, Python Programming
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Data Preprocessing, Model Deployment, Computer Vision, Geospatial Information and Technology, Machine Learning, Data Pipelines, Python Programming
Advanced · Course · 1 - 4 Weeks

University of Toronto
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Artificial Neural Networks, Robotics, Machine Learning Algorithms, Linear Algebra
Advanced · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

Edge Impulse
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Model Deployment, Data Ethics, Data Preprocessing, Machine Learning, Computer Programming, Model Evaluation, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making
Mixed · Course · 1 - 3 Months

Skills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Tensorflow, Data Preprocessing, Deep Learning, Embeddings, Model Deployment, Applied Machine Learning, Python Programming, Supervised Learning, NumPy, Model Evaluation
Mixed · Course · 1 - 4 Weeks