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: Model Training, Model Optimization, Analysis, Performance Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Model Training, Tensorflow, Network Architecture, Artificial Intelligence, Model Optimization, Machine Learning, Linear Algebra
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, Convolutional Neural Networks, Model Training, Machine Learning, NumPy, Regression Analysis
Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Generative Model Architectures, Recurrent Neural Networks (RNNs), Fine-tuning, Generative AI, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Artificial Neural Networks, Convolutional Neural Networks, AI Workflows, Hugging Face, Deep Learning, Autoencoders, Transfer Learning, Databricks, Machine Learning, Computer Science, Algorithms, Data Science
Advanced · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Plot (Graphics), R (Software), R Programming, Scatter Plots, Regression Analysis, Predictive Modeling, Artificial Neural Networks, Deep Learning, Model Evaluation, Descriptive Statistics, Statistical Methods, Data Manipulation, Data Preprocessing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Transformation, Predictive Modeling, Applied Machine Learning, Regression Analysis, Model Training, Model Optimization, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Model Training, Applied Machine Learning, Data Science, Tensorflow, Data Analysis, Python Programming, Artificial Intelligence, Machine Learning
★ 4.3 (7) · Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Training, Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Information Privacy, Data Synthesis, Model Optimization
★ 4.7 (2.4K) · Intermediate · Specialization · 1 - 3 Months

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

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

Skills you'll gain: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Artificial Neural Networks, Computer Vision, Natural Language Processing, Model Optimization
Intermediate · Course · 1 - 4 Weeks