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.

University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Applied Machine Learning, Supervised Learning, Text Mining, Scikit Learn (Machine Learning Library), Statistical Analysis, Data Manipulation, Graph Theory, Data Preprocessing, Natural Language Processing, Python Programming
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Market Opportunities, AI Enablement, AI Product Strategy, Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Artificial Neural Networks, Data Science, Deep Learning, Machine Learning
Beginner · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Google Cloud Platform, Distributed Denial-Of-Service (DDoS) Attacks, Site Reliability Engineering, Kubernetes, Incident Management, Google App Engine, Load Balancing, Identity and Access Management, Cloud Infrastructure, Network Monitoring, Cloud Computing Architecture, Application Performance Management, Network Architecture, Network Troubleshooting, System Monitoring, Virtual Networking, Role-Based Access Control (RBAC), Cloud Security, Network Security, Virtual Private Networks (VPN)
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Generative Model Architectures, Generative AI, AI Product Strategy, Large Language Modeling, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Business Strategy, Data Strategy, Data Ethics, Artificial Neural Networks, Process Improvement, Process Improvement and Optimization, Cloud Computing, Operational Efficiency, Process Optimization, Big Data, Customer Service, Natural Language Processing, User Experience, Marketing
Mixed · Course · 1 - 3 Months

Skills you'll gain: Open Web Application Security Project (OWASP), Security Management, Cyber Attacks, Cybersecurity, Security Information and Event Management (SIEM), Security Controls, Risk Management, Threat Management, Computer Security Incident Management, Data Security, Incident Response, Business Risk Management, Risk Mitigation, Auditing, Identity and Access Management
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Generative Model Architectures, Image Analysis, Transfer Learning, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

University of Toronto
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Network Routing, Estimation, Machine Learning Methods
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Computer Vision, Transfer Learning, Convolutional Neural Networks, IBM Cloud, Cloud Applications, Application Development, Cloud Deployment, Jupyter, Python Programming, Deep Learning, Classification Algorithms, Model Evaluation
Intermediate · Course · 1 - 3 Months

University of Alberta
Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Deep Learning, Feature Engineering, Algorithms, Artificial Neural Networks, Model Evaluation, Performance Testing, Markov Model, Pseudocode, Probability Distribution, Linear Algebra, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Supervised Learning, Autoencoders, Feature Engineering, Classification Algorithms, Data Cleansing, Keras (Neural Network Library), Statistical Inference, Time Series Analysis and Forecasting, Generative Adversarial Networks (GANs), Data Preprocessing, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Applied Machine Learning, Scikit Learn (Machine Learning Library), Deep Learning, Data Science, Machine Learning, Python Programming
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks