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.

Skills you'll gain: Data Storage, OSI Models, General Networking, Wireless Networks, Data Storage Technologies, Local Area Networks, Networking Hardware, Computer Networking, Network Architecture, Network Infrastructure, TCP/IP, Network Protocols, Microsoft Windows, Network Troubleshooting, Network Security, System Configuration, Wide Area Networks, Hardware Architecture, Command-Line Interface
Beginner · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Matplotlib, Data Cleansing, Data Analysis, Data Preprocessing, Natural Language Processing, Data Manipulation, Python Programming, Machine Learning, Model Evaluation
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Generative Adversarial Networks (GANs), Responsible AI, Embeddings, Data Synthesis, SAS (Software), Text Mining, Natural Language Processing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: OpenAI API, Generative Model Architectures, Hugging Face, Programming Principles, Computer Programming, Software Installation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: AWS Identity and Access Management (IAM), Amazon Web Services, Identity and Access Management, Amazon Elastic Compute Cloud, Cloud Computing Architecture, Cloud Computing, Network Security, Virtual Networking, Network Architecture, Cloud Infrastructure, Authentications, Virtual Private Networks (VPN), Multi-Factor Authentication, Cloud Security, Load Balancing, Containerization, Scalability
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Malware Protection, Identity and Access Management, Incident Response, Cybersecurity, Computer Security Incident Management, Network Security, Threat Management, Threat Detection, Cyber Attacks, Authentications, Distributed Denial-Of-Service (DDoS) Attacks, Security Awareness, Digital Forensics, Security Controls, Multi-Factor Authentication, Human Factors (Security)
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, Data Preprocessing, Image Analysis, Machine Learning Methods, Data Import/Export, Machine Learning, Python Programming, Performance Tuning, Artificial Neural Networks
Intermediate · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Generative Adversarial Networks (GANs), Anomaly Detection, AI Security, Generative AI, Fraud detection, Intrusion Detection and Prevention, Model Evaluation, Malware Protection, Cyber Threat Hunting, Cybersecurity, Threat Detection, Cyber Threat Intelligence, Feature Engineering, Network Analysis, Cyber Attacks, Cyber Security Strategy, Applied Machine Learning, Email Security, Network Security, Jupyter
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Computer Vision, Model Evaluation, Data Preprocessing, Classification Algorithms
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Data Cleansing, Supervised Learning, Data Preprocessing, Data Strategy, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Model Deployment, Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Generative Model Architectures, Machine Learning Methods, Artificial Neural Networks
Advanced · Course · 1 - 4 Weeks