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: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Machine Learning Methods, Generative Model Architectures, Data Preprocessing, Deep Learning, Markov Model, Model Optimization, Model Training
Mixed · Course · 1 - 3 Months

Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Model Evaluation, Model Training, Computer Vision, Applied Machine Learning, Model Optimization, Plot (Graphics), Machine Learning, Python Programming, Data Science
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Image Analysis, Cloud Deployment, Tensorflow, Amazon Web Services, Convolutional Neural Networks, Model Deployment, Application Development, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Computer Vision, Model Training, Front-End Web Development, Data Preprocessing, Python Programming
Mixed · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Data Preprocessing, Model Deployment, Apache Mahout, Java, Java Programming, Apache Spark, Classification Algorithms, Machine Learning Software, Machine Learning Methods, Model Training, Applied Machine Learning, Deep Learning, Data Processing, Model Evaluation, Natural Language Processing, Data Cleansing, Machine Learning, Feature Engineering, Data Transformation, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Feature Engineering, Model Evaluation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Data Ethics, Large Language Modeling, Artificial Intelligence, AI literacy, Machine Learning, Artificial Neural Networks, Deep Learning, Model Training
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Generative Model Architectures, Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, AI literacy, AI Integrations, Strategic Decision-Making, Innovation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Training, Forecasting, Financial Data, Financial Forecasting, Performance Metric, Financial Analysis, Credit Risk, AI Integrations, Applied Machine Learning, AI Workflows, Data Pipelines, Artificial Neural Networks, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Data Preprocessing, Deep Learning, Artificial Neural Networks, Embeddings, Model Deployment, Application Deployment, Model Training, Classification Algorithms, Supervised Learning, Model Evaluation
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing, Image Quality, Model Training
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Model Optimization, Model Training, Fine-tuning, Computer Vision, Deep Learning, Data Preprocessing, Jupyter
Mixed · Course · 1 - 4 Weeks