Neural Networks Courses
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.
Popular Neural Networks Courses and Certifications
DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Artificial Intelligence, Python Programming, Model Training, Model Optimization
Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Autoencoders, Model Training, Regression Analysis, Machine Learning
Johns Hopkins University
Skills you'll gain: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision
Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Regression Analysis, Tensorflow, Supervised Learning, Deep Learning, Predictive Modeling, Machine Learning, Statistical Methods, Data Processing, Probability & Statistics
Dartmouth College
Skills you'll gain: Supervised Learning, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference
Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Development Environment, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Generative Model Architectures, Feature Engineering, Model Training, Convolutional Neural Networks, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Natural Language Processing, Network Model, Vision Transformer (ViT), Computer Vision, Jupyter, Model Evaluation, Model Based Systems Engineering
What brings you to Coursera today?
Johns Hopkins University
Skills you'll gain: Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Machine Learning Methods, Model Training, Machine Learning, Computer Vision, Model Evaluation, Algorithms
John Wiley & Sons
Skills you'll gain: Supervised Learning, Machine Learning Methods, Applied Machine Learning, Computer Vision, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Data Science, Logistic Regression, Data Preprocessing, Embeddings
Dartmouth College
Skills you'll gain: Artificial Neural Networks, Convolutional Neural Networks, Tensorflow, Model Training, Model Optimization, Machine Learning, Machine Learning Algorithms
DeepLearning.AI
Skills you'll gain: Tensorflow, Machine Learning Methods, Machine Learning, Debugging, Performance Tuning, Data Preprocessing, Python Programming, Model Evaluation, Network Architecture
Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning, Natural Language Processing, Predictive Modeling, Classification Algorithms, Time Series Analysis and Forecasting, Network Architecture, Model Training, Data Science, Model Evaluation, Data Preprocessing
Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Model Optimization, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Predictive Modeling, Development Environment, Project Performance, Forecasting
Best Neural Networks courses from DeepLearning.AI
Top-rated Neural Networks courses offered by DeepLearning.AI on Coursera.
- Neural Networks and Deep LearningDeepLearning.AIIntermediate1 - 4 WeeksDeepLearning.AI
- Deep LearningDeepLearning.AIIntermediate3 - 6 MonthsDeepLearning.AI
Best Neural Networks certificate programs
Earn a certificate in Neural Networks from top universities and companies.
- Foundations of Neural NetworksJohns Hopkins UniversityIntermediate3 - 6 MonthsSpecialization
- Practical Machine Learning: Foundations to Neural NetworksDartmouth CollegeIntermediate3 - 6 MonthsSpecialization
- Deep Learning with PyTorch and Neural NetworksEDUCBABeginner1 - 3 MonthsSpecialization
Best Neural Networks courses for beginners
Top-rated beginner-friendly Neural Networks courses with no prerequisites.
- Deep Learning: Recurrent Neural Networks with PythonPacktBeginner1 - 3 MonthsNo prerequisites
- Deep Learning with Python: CNN, ANN & RNNEDUCBABeginner1 - 3 MonthsNo prerequisites
