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.

Pragmatic AI Labs
Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles
Intermediate · Course · 1 - 4 Weeks

Stanford University
Skills you'll gain: Game Theory, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms, Probability Distribution
Beginner · Course · 1 - 3 Months

Skills you'll gain: Intrusion Detection and Prevention, Incident Response, Computer Security Incident Management, Threat Detection, Event Monitoring, Security Information and Event Management (SIEM), Incident Management, Security Management, Continuous Monitoring, Network Security, Network Monitoring, Splunk, Network Analysis, TCP/IP, Network Protocols, Query Languages
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Transfer Learning, PyTorch (Machine Learning Library), Model Deployment, Data Preprocessing, Technical Communication, MLOps (Machine Learning Operations), Image Analysis, Computer Vision, AI Workflows, Convolutional Neural Networks, Verification And Validation, Tensorflow, Dataflow, Performance Tuning, Performance Metric, Data Analysis, Deep Learning, Exploratory Data Analysis, Process Optimization
Intermediate · Professional Certificate · 3 - 6 Months

University of Washington
Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Image Analysis, LLM Application, Applied Machine Learning, Data Flow Diagrams (DFDs), Embeddings, Docker (Software), Prompt Engineering, Generative AI, Context Management, Large Language Modeling, Simulations, Data-oriented programming, Artificial Neural Networks, Data Ethics, Data Import/Export, Data Pipelines, Python Programming, Plot (Graphics)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Debugging, Python Programming, Cybersecurity, Scripting, Programming Principles, IT Automation, Algorithms, Automation, Computer Programming, File Management, Data Structures
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Model Evaluation, Artificial Neural Networks, Feature Engineering, Machine Learning, Python Programming, Data Transformation
Intermediate · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Authentications, Data Integrity, Secure Coding, Algorithms, Computational Thinking
Mixed · Course · 1 - 3 Months

Skills you'll gain: Incident Response, Computer Security Incident Management, Incident Management, Cybersecurity, Cyber Threat Intelligence, Security Management, Cyber Security Policies, Security Awareness, Data Ethics, Data Security, Personally Identifiable Information, AI Security, Technical Communication, Artificial Intelligence
Beginner · Course · 1 - 3 Months

MathWorks
Skills you'll gain: Model Evaluation, Computer Vision, Image Analysis, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Transfer Learning, Deep Learning, Image Quality, Artificial Neural Networks, Matlab, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning Methods, Data Preprocessing, Classification Algorithms, Traffic Flow Optimization, Data Visualization, Automation, Digital Signal Processing
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Model Evaluation, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), Embeddings, Deep Learning, Natural Language Processing, Model Deployment, Transfer Learning, Data Pipelines, Risk Modeling, Performance Tuning
Intermediate · Course · 1 - 3 Months