Cloud computing applications courses can help you learn cloud architecture, deployment models, data management, and security best practices. You can build skills in optimizing cloud resources, managing virtual environments, and implementing cloud-based solutions for various business needs. Many courses introduce tools like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, showing how these platforms support application development, data storage, and scalable computing.

Yonsei University
Skills you'll gain: Wireless Networks, Telecommunications, Apple iOS, Display Devices, Product Planning, Android (Operating System), Business Strategy, Network Analysis, Emerging Technologies, Operating Systems, Peripheral Devices, Market Trend, Technical Standard
Beginner · Course · 1 - 3 Months

University at Buffalo
Skills you'll gain: Electrical Systems, Electrical Wiring, HVAC, Building Design, Construction Inspection, Basic Electrical Systems, Engineering Calculations, Architectural Design, System Requirements, Mechanical Design, Building Codes, Structural Analysis, Cost Estimation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: MySQL, Google Cloud Platform, Data Mining, Database Administration, Microsoft SQL Servers, Cloud API, PostgreSQL, Metadata Management
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Field-Programmable Gate Array (FPGA), Application Specific Integrated Circuits, Computational Logic, Computer Architecture, Hardware Design, Electronic Hardware, Electronics Engineering, Electronics, Theoretical Computer Science, Programmable Logic Controllers, Microarchitecture, Electronic Systems, Semiconductors, Electronic Components, Data Storage, Data Storage Technologies
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Data Pipelines, Dataflow, Data Processing, Google Cloud Platform, Development Environment, Cloud Development, Cloud Services, Program Development, Software Installation
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Data Centers, Network Security, Network Troubleshooting, Virtual Machines, Network Monitoring, Wide Area Networks, Virtualization, Wireless Networks, Firewall, Cloud Infrastructure, Hardening, Network Architecture, Network Infrastructure, Virtual Private Networks (VPN), TCP/IP, Cloud Computing, Security Information and Event Management (SIEM), Remote Access Systems, Network Protocols, Internet Of Things
Advanced · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Microsoft Power Platform, Microsoft Power Automate/Flow, No-Code Development, Data Integration, Power BI, Data Modeling, Application Development, Case Studies, Business Solutions, Security Controls
Beginner · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: CI/CD, Azure DevOps, Continuous Integration, Cloud Deployment, Application Deployment, Microsoft Azure, Cloud Services, Continuous Deployment, DevOps, Cloud Applications, Cloud Security, Microsoft Copilot, System Monitoring, Debugging
Beginner · Course · 1 - 3 Months

Technical University of Munich (TUM)
Skills you'll gain: Global Positioning Systems, Digital Transformation, Environmental Monitoring, Aerospace Basic Quality System Standards, Manufacturing Processes, Image Analysis, Industrial Engineering, Cybersecurity, Spatial Data Analysis, Artificial Intelligence, Threat Detection, Automation, Cyber Risk, Telecommunications, Technology Strategies, Cloud Computing, Data Storage, Data Integration
Intermediate · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Prompt Engineering, Microsoft Copilot, Generative AI, Microsoft Office, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Customer Relationship Management (CRM) Software, Natural Language Processing
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Multi-Tenant Cloud Environments, Kubernetes, Role-Based Access Control (RBAC), Capacity Management, Google Cloud Platform, System Monitoring, DevOps, Cloud Infrastructure
Intermediate · 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