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.

Simplilearn
Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Predictive Modeling, Machine Learning, Decision Tree Learning, Regression Analysis
Beginner · Specialization · 1 - 3 Months

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: Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Model Deployment, Generative AI, Keras (Neural Network Library), NumPy, Model Optimization, Applied Machine Learning, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Generative Model Architectures, Deep Learning, Transfer Learning, Artificial Intelligence, Machine Learning, Data Science
Intermediate · Specialization · 3 - 6 Months

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

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 3 Months

Simplilearn
Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Machine Learning Methods, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, AI literacy, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Model Training, Digital Transformation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Model Training, Model Optimization, Machine Learning, Data Processing, Linear Algebra
Intermediate · Course · 1 - 4 Weeks

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
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Generative Model Architectures, Deep Learning, Tensorflow, Unsupervised Learning, Model Training, Dimensionality Reduction
Beginner · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Fine-tuning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Network Architecture, Computer Vision, Network Model, Natural Language Processing, Model Training
Build toward a degree
Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Generative AI, Generative Model Architectures, Multimodal Prompts, Large Language Modeling, Deep Learning, Recurrent Neural Networks (RNNs), Responsible AI, Embeddings, Musical Composition, Music, Autoencoders, Model Training
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Model Evaluation, Patient Evaluation, Data Preprocessing, Diagnostic Tests, Convolutional Neural Networks, Image Analysis, Diagnostic Radiology, Predictive Modeling, Risk Modeling, Statistical Machine Learning, Artificial Intelligence, Predictive Analytics, Applied Machine Learning, Medical Imaging, Machine Learning Methods, Computer Vision, Deep Learning, Natural Language Processing, Machine Learning, Radiology
Intermediate · Course · 1 - 4 Weeks