Managing Machine Learning Projects with Google Cloud

​Google Cloud is a public, private cloud computing services provider that offers a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, file storage, and YouTube. Google Cloud, a subsidiary of Alphabet Inc., was officially launched in 2008. It is renowned for its innovative technologies, including data analytics, machine learning, and artificial intelligence, as well as its global network infrastructure, which ensures low latency and high availability. Google Cloud distinguishes itself with its commitment to sustainability, operating the cleanest cloud in the industry with the largest corporate purchase of renewable energy.

Google Cloud provides a range of services including computing, data storage, data analytics, and machine learning. It offers tools like Google Cloud Platform (GCP), which provides a robust environment for developers to build, test, and deploy applications. Additionally, Google Cloud includes G Suite (now known as Google Workspace), a collection of productivity and collaboration tools such as Gmail, Docs, Drive, and Calendar. Google Cloud is designed to provide organizations with the tools they need to drive innovation, improve operational efficiency, and scale their services securely and reliably. Its client base spans various industries, including financial services, healthcare, retail, and education.