An engineering project may require analyzing thousands of sensor readings, running simulations beyond the capabilities of a personal computer, or providing an application for a team working across different locations. Cloud computing provides resources to meet these needs through network access to computing power, storage, databases, and analytical tools. Amazon Web Services (AWS), Microsoft Azure, and Google Cloud are prominent global platforms offering these services. They enable engineers to develop applications that connect devices, process data, and present results, while adjusting computing resources to match project requirements. AWS Connecting Devices and Supporting Engineering Simulations AWS provides high-performance computing services for engineering simulation and modeling, including computational fluid dynamics and computer-aided engineering. AWS IoT Core also enables connected devices to exchange messages with cloud applications and supports the processing of device data. These capabilities can support a project monitoring an industrial pump. Temperature and vibration readings can be collected and transmitted to an application that displays changes and issues alerts when specified limits are exceeded. Predicting failures, however, requires suitable data and a validated model to ensure that alerts are supported by reliable evidence. Microsoft Azure and Digital Twins Azure Digital Twins provides tools for creating digital models that describe physical environments and the relationships between their components, including buildings, factories, and energy networks. These models can be connected to device and system data to help users understand operating conditions and monitor changes. For example, a digital model of a university building could represent its floors, classrooms, air-conditioning units, and electricity meters. Linking energy readings to their locations could help identify consumption patterns and areas requiring investigation or improvement. The model’s usefulness depends on accurate representation and regular data updates. Google Cloud and Industrial Data Analytics Google Cloud offers solutions for collecting and processing industrial data. Manufacturing Data Engine connects equipment data to the cloud and prepares it for analytical applications. The platform also supports simulation, high-performance computing, and the development of artificial intelligence solutions. Potential applications include analyzing production-line readings to identify conditions associated with product defects or examining energy consumption during different operating periods. Such work begins with organizing data and checking its quality, followed by selecting an analytical method and evaluating its results. Opportunities for Students and Researchers Cloud technologies can be introduced into engineering education through focused projects with clear objectives. Examples include monitoring electricity consumption in a laboratory, developing a dashboard for environmental measurements, or deploying a research application that allows a team to share results. These projects help students understand the complete workflow: How are data collected and transmitted? Where are they stored? Who can access them? How can the results be verified? These questions connect programming with measurement, design, and professional responsibility. Choosing a Platform According to Project Requirements Engineering projects have different requirements. Some need immediate processing close to the device, while others benefit from larger cloud resources. Platform selection should therefore consider data volume, response-time requirements, connectivity, cost, team experience, and information protection. Resources also require ongoing monitoring. Leaving unused services running or transferring large datasets can increase costs. Sound design includes access controls, protection of connection credentials, backups, and procedures for restoring operations. Cloud platforms expand engineers’ ability to experiment, analyze data, and develop applications. Their value depends on addressing a defined problem and evaluating results against clear criteria. Through carefully designed educational projects, engineering colleges can introduce students to these environments and prepare them to develop solutions that can be implemented and assessed. Al-Mustaqbal University The First University in Iraq