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: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Fine-tuning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Tensorflow, Predictive Modeling, Model Optimization, Model Training, Interactive Data Visualization, Time Series Analysis and Forecasting, Model Evaluation
Advanced · Course · 1 - 3 Months

Skills you'll gain: Large Language Modeling, Natural Language Processing, Fine-tuning, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Model Training, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Generative Model Architectures, Machine Learning
Intermediate · 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

Simplilearn
Skills you'll gain: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Model Training
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Fine-tuning, Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Model Training
Advanced · Course · 1 - 3 Months

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

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

Yonsei University
Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Machine Learning Methods, Recurrent Neural Networks (RNNs), Technology Strategies, Business Strategy, Machine Learning Software, Business Modeling, Business Strategies, Artificial Intelligence, Machine Learning, Company, Product, and Service Knowledge, Unsupervised Learning
★ 4.4 (687) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Fine-tuning, Machine Learning, Artificial Intelligence, Computer Vision
★ 4.6 (305) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Recurrent Neural Networks (RNNs), Model Training, Data Transformation, Financial Forecasting, Model Evaluation, Statistical Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Forecasting, Predictive Analytics, Artificial Neural Networks, Network Model, Project Implementation
★ 4.5 (13) · Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Model Optimization, Model Training, Supervised Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Pandas (Python Package), Machine Learning Methods, Data Science, Artificial Intelligence, Model Optimization, Model Training, Data Preprocessing, Machine Learning, Network Model, Data Manipulation, Model Evaluation
Beginner · Course · 3 - 6 Months