Network security courses can help you learn about firewalls, intrusion detection systems, and encryption protocols. You can build skills in risk assessment, incident response, and vulnerability management. Many courses introduce tools like Wireshark for network analysis, Nessus for vulnerability scanning, and various security information and event management (SIEM) systems, showing how these skills are applied in practical work to protect networks from cyber threats.

University of Illinois Urbana-Champaign
Skills you'll gain: Health Informatics, Deep Learning, Health Information Management, Machine Learning, Health Care, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Unsupervised Learning, Convolutional Neural Networks, Program Development, Predictive Modeling
Advanced · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Java Platform Enterprise Edition (J2EE), Software Design Patterns, Java, Enterprise Architecture, Secure Coding, Application Servers, Software Design, Model View Controller, Software Architecture, Application Security, Maintainability, Programming Principles, Authorization (Computing), Authentications, Debugging, Scalability
Intermediate · Course · 1 - 4 Weeks

Simplilearn
Skills you'll gain: Test Tools, Acceptance Testing, Software Testing, Test Automation, Test Execution Engine, Test Planning, Software Quality Assurance, Generative AI, Test Data, Test Case, Requirements Analysis, Software Documentation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Animations, Canva (Software), Instagram, Social Media, Facebook, Social Media Content, Content Creation, Social Media Management, Social Media Marketing, Marketing Materials, Design, Graphic Design, Marketing
Beginner · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Sampling (Statistics), Statistical Hypothesis Testing, Data-Driven Decision-Making, Descriptive Statistics, Correlation Analysis, Data Analysis, Probability Distribution, Statistical Software, Statistics, Statistical Analysis, Estimation, R (Software), Data Visualization, Risk Analysis, Probability, Statistical Methods, R Programming, Return On Investment, Probability & Statistics, Problem Solving
Build toward a degree
Beginner · Specialization · 3 - 6 Months

KodeKloud
Skills you'll gain: Kubernetes, Microservices, Containerization, Cloud-Native Computing, Docker (Software), DevOps, Application Deployment, Cloud Computing Architecture, YAML, Virtual Networking, Scalability, Command-Line Interface
Beginner · Course · 1 - 3 Months

Skills you'll gain: MITRE ATT&CK Framework, Incident Response, Cyber Threat Hunting, Cyber Threat Intelligence, Digital Forensics, Computer Security Incident Management, Threat Detection, Cybersecurity, Mobile Security, Network Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Power Automate/Flow, Email Automation, Microsoft 365, Document Management, Workflow Management, Microsoft Power Platform, Business Process Automation, Productivity Software, Automation, Intranet
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Microservices, Scalability, Software Architecture, CI/CD, API Gateway, Systems Architecture, Containerization, Software Design, Serverless Computing, Application Design, Solution Architecture, Docker (Software), Software Design Patterns, Systems Design, Kubernetes, Service Oriented Architecture, Event-Driven Programming, Transaction Processing, Cloud Deployment, Data Management
Intermediate · Specialization · 3 - 6 Months

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

Coursera
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Heat Maps, Model Evaluation, Image Analysis, Deep Learning, Computer Vision
Intermediate · Guided Project · Less Than 2 Hours