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: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Hugging Face, Large Language Modeling, Transfer Learning, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Embeddings, Python Programming, Applied Machine Learning, Unsupervised Learning
Intermediate · Course · 1 - 4 Weeks

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
Intermediate · Course · 1 - 4 Weeks

University of Glasgow
Skills you'll gain: Data Preprocessing, Model Evaluation, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Course · 1 - 3 Months

University of Minnesota
Skills you'll gain: Predictive Modeling, Predictive Analytics, Business Analytics, Customer Analysis, Project Design, Applied Machine Learning, Solution Design, Sprint Planning, Machine Learning, Brainstorming, Trend Analysis, Design Thinking, Analysis, Decision Tree Learning, Deep Learning, Time Series Analysis and Forecasting, Quality Control
Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Large Language Modeling, LLM Application, Model Deployment, AI Enablement, Transfer Learning, Prompt Engineering, Generative AI, Model Evaluation, Deep Learning, Natural Language Processing, Recurrent Neural Networks (RNNs), Responsible AI, Scalability, Machine Learning, Performance Tuning, Systems Integration
Advanced · Course · 3 - 6 Months

Skills you'll gain: Generative AI, Responsible AI, Large Language Modeling, Data Ethics, Machine Learning, Applied Machine Learning, Artificial Intelligence, Supervised Learning, Predictive Modeling, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Reinforcement Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Tensorflow, Data Preprocessing, Deep Learning, Embeddings, Model Deployment, Applied Machine Learning, Python Programming, Supervised Learning, NumPy, Model Evaluation
Mixed · Course · 1 - 4 Weeks