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.
Duke University
Skills you'll gain: Responsible AI, Data Ethics, AI Security, Generative AI, Artificial Intelligence, AI Product Strategy, Machine Learning, Machine Learning Methods, Model Evaluation, Data Literacy, Artificial Neural Networks, Algorithms
Intermediate · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: NoSQL, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Generative AI, Convolutional Neural Networks, Transfer Learning, Data Infrastructure, Data Cleansing, Real Time Data, Apache Kafka, Data Management, Machine Learning
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Board Infinity
Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Artificial Neural Networks, OpenAI, Artificial Intelligence, ChatGPT, Large Language Modeling, Deep Learning, Machine Learning, Responsible AI
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Neural Networks, Tensorflow, Analytics, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Classification And Regression Tree (CART), Business Analytics, Deep Learning, Machine Learning, Risking, Model Evaluation, Mortgage Loans, Consumer Lending
Intermediate · Guided Project · Less Than 2 Hours

Imperial College London
Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)
Advanced · Course · 1 - 3 Months

O.P. Jindal Global University
Skills you'll gain: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis
Build toward a degree
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Convolutional Neural Networks, Computer Graphics, Machine Learning Methods, Artificial Intelligence, Data Ethics, Microsoft Excel, Generative AI, Linear Algebra, Feature Engineering, Digital Signal Processing
Build toward a degree
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Statistics
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Large Language Modeling, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Generative Model Architectures, Natural Language Processing, Transfer Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Data Preprocessing, Transfer Learning, Convolutional Neural Networks, Medical Imaging, Radiology, Image Analysis, Deep Learning, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

LearnQuest
Skills you'll gain: Data Preprocessing, Applied Machine Learning, Dimensionality Reduction, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction
Beginner · Specialization · 3 - 6 Months