Google Learning Path

A Google Associate Cloud Engineer deploys and secures applications, services, and infrastructure, monitors operations of multiple projects, and maintains enterprise solutions to ensure that they meet target performance metrics.

A Google Cloud Digital Leader can articulate the capabilities of Google Cloud core products and services and how they benefit organizations. They can also describe common business use cases and how cloud solutions support an enterprise.

A Google Cloud Generative AI Leader is a visionary professional with comprehensive knowledge of how generative AI (gen AI) can transform businesses. They have business-level knowledge of Google Cloud's gen AI offerings and understand how Google's AI-first approach can lead organizations toward innovative and responsible AI adoption.

A Google Cloud Certified Professional Cloud Architect enables organizations to leverage Google Cloud technologies. Through an understanding of cloud architecture and Google technology, this individual designs, develops, and manages robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.

The Google Professional Cloud Database Engineer designs, creates, manages, and troubleshoots Google Cloud databases used by applications to store and retrieve data.

A Google Professional Cloud Developer builds and deploys scalable, secure, and highly available applications by using Google-recommended tools and best practices.

Google Professional Cloud DevOps Engineers implement processes throughout the systems development lifecycle using Google-recommended methodologies and tools.

A Google Professional Cloud Network Engineer is responsible for the design, implementation, and management of Google Cloud network infrastructure.

A Google Cloud Security Engineer is proficient in identity and access management, defining organizational security structure and policies, using Google Cloud technologies to provide data protection, configuring network security defenses, monitoring environments for threats, security automation, AI security, the secure software supply chain, and enforcing regulatory controls.

A Google Professional Data Engineer creates and manages robust data processing systems. This includes the ability to design, build, deploy, monitor, maintain, and secure data processing workloads.

A‬‭ Google Professional‬‭ Machine‬‭ Learning‬‭ Engineer‬‭ builds,‬‭ evaluates,‬‭ productionizes,‬‭ and‬‭ optimizes‬‭ ML‬ models‬‭ by‬‭ using‬‭ Google‬‭ Cloud‬‭ technologies‬‭ and‬‭ knowledge‬‭ of‬‭ proven‬‭ models‬‭ and‬‭ techniques.‬