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: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Statistical Visualization, Pandas (Python Package), Model Training, Applied Machine Learning, Data Science, Artificial Intelligence, Machine Learning
★ 4.3 (7) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Generative Model Architectures, Generative AI, Large Language Modeling, Vision Transformer (ViT), Artificial Neural Networks, Deep Learning, Recurrent Neural Networks (RNNs), Natural Language Processing
★ 3.7 (7) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Deep Learning, Model Optimization, Model Training, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computer Vision, Recurrent Neural Networks (RNNs), Model Evaluation, Artificial Neural Networks, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Optimization, Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Model Training, Supervised Learning, Machine Learning, Logistic Regression, NumPy, Regression Analysis, Network Architecture
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Jupyter, Model Optimization, Predictive Modeling, Model Training, Machine Learning, Model Evaluation, Data Transformation
Mixed · Course · 1 - 3 Months

LearnQuest
Skills you'll gain: Model Evaluation, Random Forest Algorithm, Model Optimization, Keras (Neural Network Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Methods, Applied Machine Learning, Predictive Modeling, Fine-tuning, Scikit Learn (Machine Learning Library), Regression Analysis, Classification Algorithms, Python Programming
★ 3.2 (18) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Network Architecture, Model Optimization, Artificial Neural Networks, Model Training, Network Planning And Design, Performance Testing, Deep Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Model Optimization, Analysis, Performance Analysis
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Optimization, Convolutional Neural Networks, Transfer Learning, Model Training, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Data Preprocessing, Model Training, Data Science, Machine Learning, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Generative Model Architectures, Unsupervised Learning, Responsible AI, Data Ethics, Markov Model
★ 4 (7) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Fine-tuning, Generative Model Architectures, Deep Learning, Autoencoders, Generative AI, Model Optimization, Artificial Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Network Architecture, Model Evaluation, Anomaly Detection, Computer Vision, Predictive Modeling
Advanced · Course · 1 - 4 Weeks