Cloud Computing Security courses can help you learn about risk assessment, data protection strategies, compliance frameworks, and incident response planning. You can build skills in threat modeling, vulnerability management, and implementing security controls across cloud environments. Many courses introduce tools like AWS Identity and Access Management, Azure Security Center, and various encryption technologies, showing how these skills are applied to safeguard data and maintain compliance in cloud infrastructures.

Skills you'll gain: Supply Chain, Demand Planning, Supply Chain Management, Supply Chain Planning, Process Improvement, Capacity Planning, Logistics Management, Sustainable Business, Analytics, Corporate Sustainability, Scheduling, Inventory Management System, Forecasting, Data Analysis, Security Management, Expense Management, Operating Expense, Risk Management, Data Visualization, Problem Solving
Beginner · Course · 1 - 3 Months

Skills you'll gain: Azure Active Directory, Role-Based Access Control (RBAC), Virtual Networking, Microsoft Azure, Kubernetes, Containerization, Network Troubleshooting, Single Sign-On (SSO), Cloud Storage, Active Directory, Virtual Machines, Virtual Private Networks (VPN), Data Storage, Cloud Management, Application Deployment, Network Architecture, Identity and Access Management, Authorization (Computing), Cloud Services, System Monitoring
Intermediate · Specialization · 1 - 3 Months

Meta
Skills you'll gain: Restful API, API Testing, Django (Web Framework), API Design, Software Documentation, Application Programming Interface (API), Authentications, Authorization (Computing), Debugging, JSON, Performance Tuning, Data Validation, Extensible Markup Language (XML)
Intermediate · Course · 1 - 4 Weeks

MongoDB Inc.
Skills you'll gain: MongoDB, Database Management, Databases, NoSQL, Data Modeling, Database Design, Data Integrity, Data Storage, Cloud Deployment, Cloud Platforms, Scalability, Application Development
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Generative AI, Google Gemini, Artificial Intelligence, Machine Learning
Beginner · Course · 1 - 4 Weeks
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Responsible AI, Containerization, Prompt Engineering, AI Orchestration, Scalability, AI Workflows, Application Deployment, Kubernetes, Agentic Workflows, Azure Active Directory, System Monitoring, LangChain, Generative AI Agents, Microservices, Microsoft Azure, Artificial Intelligence, Distributed Computing, Serverless Computing, Natural Language Processing, Reinforcement Learning
Intermediate · Professional Certificate · 3 - 6 Months

Google Cloud
Skills you'll gain: Google Sheets, Data Sharing, Google Cloud Platform, Spreadsheet Software, Big Data, Data Import/Export, Data Analysis, Real Time Data, Cloud Computing
Beginner · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Deep Learning, Machine Learning Methods, Data Preprocessing, NumPy, Supervised Learning, Pandas (Python Package)
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Load Balancing, Application Deployment, Cloud Management, Google Cloud Platform, Virtual Machines, Cloud Infrastructure, Web Servers, Servers, Network Model, Network Routing, Network Analysis
Beginner · Project · Less Than 2 Hours

Imperial College London
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Knitr, Data Sharing, Data Literacy, Quantitative Research, General Science and Research, Statistical Reporting, Data Analysis, Exploratory Data Analysis, R Programming, Verification And Validation, Technical Communication
Mixed · Course · 1 - 4 Weeks