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.

Skills you'll gain: Health Care Procedure and Regulation, Health Informatics, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Data Preprocessing, Data Literacy, Data Analysis, Descriptive Analytics, Statistical Programming, Database Systems, Relational Databases, Data Integration, Spreadsheet Software
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Terraform, Load Balancing, Infrastructure as Code (IaC), Cloud Computing, Managed Services, Solution Architecture, Virtual Machines, Network Infrastructure, Virtual Private Networks (VPN), Scalability
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Gemini, Generative AI Agents, Command-Line Interface, Model Context Protocol, Application Development, Code Review, Development Environment, Software Installation, Application Security
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Deployment, Serverless Computing, Google Cloud Platform, Generative AI, Cloud Deployment, Containerization, Performance Tuning, Scalability
Beginner · Course · 1 - 4 Weeks

University of California, Irvine
Skills you'll gain: Systems Development, Systems Development Life Cycle, Agile Methodology, Productivity Software, digital literacy, Network Security, Computer Hardware, Computer Systems, Data Security, Risk Management, System Design and Implementation, TCP/IP, Information Technology, Software Development Methodologies, Data Ethics, Cybersecurity, General Networking, Productivity, Safety and Security, Process Design
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: MongoDB, Full-Stack Web Development, Node.JS, Web Development, Web Applications, Front-End Web Development, JavaScript Frameworks, Server Side, Back-End Web Development, Data Store, Network Routing, Database Development, Hypertext Markup Language (HTML), Development Environment, Middleware, User Interface (UI) Design
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Responsible AI, LangChain, AI Security, Cloud Deployment, Large Language Modeling, Generative AI, Multimodal Prompts, Cloud Computing Architecture, Model Deployment, ChatGPT, Cloud Computing, Natural Language Processing, Scalability, Vector Databases, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Scalability, Software Design Patterns, Node.JS, Distributed Computing, Dataflow, Event-Driven Programming, Object Oriented Design, Software Design, Load Balancing, Software Architecture, Performance Tuning, Real Time Data, Systems Architecture, File I/O, Redis, Object Oriented Programming (OOP), Systems Design, Application Performance Management, Javascript, Maintainability
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: AI Security, USB, Threat Modeling, Hardware Design, Electronic Hardware, Model Deployment, CI/CD, Electronics, Security Engineering, Electrical Systems, Electronics Engineering, Routing Protocols, Electrical Power, Power Electronics, Design Reviews, Computer-Aided Design, Electronic Components, Schematic Diagrams, Technical Design, Design
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Distributed Computing, Data Pipelines, Performance Tuning, MLOps (Machine Learning Operations), Deep Learning, AI Workflows, Model Deployment, Scalability, LLM Application, Hardware Architecture, Machine Learning, Computer Architecture
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms
Intermediate · Course · 1 - 3 Months

Stanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Model, Programming Principles, Social Network Analysis, Network Analysis, Theoretical Computer Science, Network Routing, Computational Logic
Intermediate · Course · 1 - 4 Weeks