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.

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

Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Training, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Applied Machine Learning, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science
Beginner · Course · 1 - 4 Weeks

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

DeepLearning.AI
Skills you'll gain: Model Optimization, Tensorflow, Model Training, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Verification And Validation, Debugging
★ 4.9 (64K) · Intermediate · Course · 1 - 4 Weeks

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

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: Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Large Language Modeling, Machine Learning Methods, Computer Vision, Data Science, Artificial Intelligence, Applied Machine Learning, NumPy, Pandas (Python Package), Python Programming, Natural Language Processing, Supervised Learning, Feature Engineering, Machine Learning, Predictive Modeling, Data Analysis, Data Visualization
Beginner · 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: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Model Training, Model Evaluation, Decision Tree Learning, Machine Learning Algorithms, Machine Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Image Analysis, Model Evaluation, Model Training, Artificial Neural Networks, Fine-tuning, Computer Vision, Model Optimization, Data Preprocessing, Data Processing
★ 4.8 (13) · Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Model Training, Computer Vision, Fine-tuning, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Model Optimization, Machine Learning, Data Preprocessing
★ 4.7 (8.2K) · Intermediate · Course · 1 - 4 Weeks

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
★ 4 (12) · Beginner · Specialization · 1 - 3 Months