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: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation
★ 4.6 (294) · Intermediate · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives
★ 4.7 (5.8K) · Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Data Preprocessing, Risk Modeling, Treatment Planning, Data Analysis, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Feature Engineering, Patient Treatment, Image Analysis, Applied Machine Learning, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm, Forecasting
★ 4.7 (2.5K) · Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Dashboard, Data Transformation, Analytics, Data Presentation, Data Preprocessing, Data Analysis, Business Analytics, Statistical Analysis, Statistical Modeling, Data Quality, SPSS, Predictive Modeling, Workflow Management, Data Visualization Software, Regression Analysis, Artificial Neural Networks
Beginner · Course · 1 - 3 Months

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

DeepLearning.AI
Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Data Quality, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Applied Machine Learning, Artificial Neural Networks, Model Evaluation, Software Visualization, Computer Vision, Data Preprocessing, Natural Language Processing, Machine Learning
★ 4.8 (96) · Intermediate · Professional Certificate · 1 - 3 Months

Skills you'll gain: Model Evaluation, Financial Data, Financial Forecasting, Performance Metric, Financial Analysis, Credit Risk, Predictive Modeling, Real Time Data, Financial Statement Analysis, Continuous Monitoring, Applied Machine Learning, MLOps (Machine Learning Operations), Data Pipelines, Artificial Neural Networks, Automation
Intermediate · Course · 1 - 4 Weeks

Edge Impulse
Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing
★ 4.8 (752) · Intermediate · Course · 1 - 4 Weeks

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
★ 4.5 (690) · Advanced · Course · 1 - 4 Weeks

John Wiley & Sons
Beginner · Specialization · 1 - 3 Months

University of Alberta
Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution
★ 4.8 (848) · Intermediate · Course · 1 - 3 Months

Coursera
Beginner · Course · 1 - 4 Weeks