Cloud security courses can help you learn about risk management, data protection strategies, compliance frameworks, and identity and access management. You can build skills in threat detection, incident response, and implementing security protocols across various cloud environments. Many courses introduce tools such as AWS Security Hub, Azure Security Center, and Google Cloud Security Command Center, showing how these tools support the skills you develop in safeguarding cloud infrastructure and ensuring data integrity.

Google Cloud
Skills you'll gain: AI Security, Threat Management, Security Strategy, Responsible AI, Data Security, Personally Identifiable Information, Security Management, Security Controls, Infrastructure Security, Artificial Intelligence, Cyber Risk, Machine Learning
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Responsible AI, Artificial Intelligence, Data Ethics, AI Product Strategy, Business Logic
Beginner · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Amazon Web Services, Robotics, Cloud-Based Integration, Automation, Cloud Applications
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Restful API, Application Security, Java, Model View Controller, Development Environment, Web Applications, Application Programming Interface (API), Apache Maven, Authorization (Computing), Authentications, Role-Based Access Control (RBAC)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Linux Commands, Metasploit, Open Web Application Security Project (OWASP), Linux, Penetration Testing, Vulnerability Scanning, Command-Line Interface, Exploitation techniques, Scripting, Vulnerability Assessments, Brute-force attacks, General Networking, Python Programming, Web Applications, Cybersecurity, Data Ethics, Firewall, Network Security, Wireless Networks, System Configuration
Beginner · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Investment Management, Investments, Finance, Portfolio Management, Business Valuation, Financial Modeling, Financial Market, Equities, Return On Investment, Financial Analysis, Portfolio Risk, Asset Management, Microsoft Excel, Regression Analysis, Risk Analysis, Performance Analysis, Estimation, Cash Flows
Build toward a degree
Intermediate · Course · 1 - 3 Months

New York University
Skills you'll gain: Supervised Learning, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Tensorflow
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Google Gemini, Generative AI, Customer Relationship Management, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), SQL, Google Cloud Platform, Jupyter, Business Workflow Analysis, Big Data, Model Evaluation, Data Analysis Software
Intermediate · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Stored Procedure, Star Schema, Microsoft SQL Servers, Database Design, Relational Databases, Data Integrity, Database Development, Data Integration, SQL, Transaction Processing, Power BI, Data Warehousing, Database Management, Transact-SQL, Data Maintenance, Databases, Query Languages, Database Architecture and Administration, Database Systems, Data Management
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Dataflow, Data Pipelines, Site Reliability Engineering, Debugging, Data Integrity, Performance Tuning, System Monitoring, CI/CD, Unit Testing, Data Processing, Google Cloud Platform, Disaster Recovery, Integration Testing
Advanced · Course · 1 - 3 Months
Skills you'll gain: Performance Tuning, Django (Web Framework), Authentications, PostgreSQL, Scalability, Application Deployment, Cloud Hosting, User Accounts, Application Security, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Design Thinking, Data Science, Machine Learning, Python Programming
Advanced · Specialization · 3 - 6 Months