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 Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Model Training, Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality
★ 4.7 (685) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Model Training, Image Analysis, Predictive Modeling, Data Preprocessing, Deep Learning, Artificial Neural Networks, Computer Vision, Applied Machine Learning, Python Programming, Development Environment, Project Performance, AI Workflows, Project Implementation
★ 4.7 (19) · Mixed · Course · 1 - 4 Weeks

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

Skills you'll gain: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Model Evaluation, Model Training, Natural Language Processing, Text Mining, Data Preprocessing, Deep Learning, Data Analysis, Analysis, Artificial Neural Networks, Data Processing, Data Analysis Software, Project Implementation, Environment, Design
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, Model Optimization, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Model Training, Network Architecture
Advanced · Course · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Transfer Learning, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Regression Analysis
★ 4.5 (4.3K) · Intermediate · Professional Certificate · 3 - 6 Months

Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning
★ 4.9 (39K) · Beginner · Specialization · 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: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis
★ 4.9 (8.8K) · Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Hugging Face, Natural Language Processing, Generative AI, Artificial Neural Networks, Embeddings, Deep Learning, Transfer Learning, Fine-tuning
★ 4.8 (31K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning Methods, Convolutional Neural Networks, Plot (Graphics), Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, AI Personalization, Classification Algorithms, Artificial Intelligence, Plotly, Statistical Analysis, Statistical Methods, Machine Learning, Applied Machine Learning, Digital Signal Processing, Statistical Inference
★ 3.8 (8) · Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Applied Machine Learning, Artificial Intelligence, AI literacy, Machine Learning, Data Science, AI Integrations, Deep Learning, Artificial Neural Networks
★ 4.8 (53K) · Beginner · Course · 1 - 4 Weeks