You might have noticed a series of short videos introducing various Google Cloud certifications being published over the last few months. We created a dedicated Cloud Certifications Playlist to organize this new content to give you an easy way to scan all the Google Cloud Certifications, what they are and where to get started. In this blog we would like to offer the series wrap up and share all the videos with you.
This is our attempt to introduce the job role, exam as well as relevant resources in less than a minute. Challenge accepted!
Build scalable and highly available applications using Google-recommended practices and tools. A Cloud Developer has experience with cloud-native applications, developer tools, managed services, and next-generation databases. This individual is also proficient with at least one general-purpose programming language and is skilled at producing meaningful metrics and logs to debug and trace code.
Enable organizations to leverage Google Cloud technologies. With a thorough understanding of cloud architecture and Google Cloud, they design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.
Responsible for efficient development operations that can balance service reliability and delivery speed. They are skilled at using Google Cloud to build software delivery pipelines, deploy and monitor services, and manage and learn from incidents.
Deploy applications, monitor operations, and manage enterprise solutions. They use Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud.
Enable data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.
Designs, builds, and productionizes ML models to solve business challenges using Google Cloud technologies and knowledge of proven ML models and techniques. The ML Engineer considers responsible AI throughout the ML development process, and collaborates closely with other job roles to ensure long-term success of models. The ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics interpretation. The ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models, the ML Engineer designs and creates scalable solutions for optimal performance.
Enables organizations to design and implement secure workloads and infrastructure on Google Cloud. Through an understanding of security best practices and industry security requirements, this individual designs, develops, and manages a secure infrastructure by leveraging Google security technologies. The Cloud Security Engineer should be proficient in all aspects of cloud Security including identity and access management, defining organizational structure and policies, using Google technologies to provide data protection, configuring network security defenses, collecting and analyzing Google Cloud logs, managing incident responses, and demonstrating an understanding of the application of dynamic regulatory considerations.
Implements and manages network architectures in Google Cloud. This individual may work on networking or cloud teams with architects who design cloud infrastructure. The Cloud Network Engineer uses the Google Cloud Console and/or command line interface, and leverages experience with network services, application and container networking, hybrid and multi-cloud connectivity, implementing VPCs, and security for established network architectures to ensure successful cloud implementations
A Professional Collaboration Engineer transforms business objectives into tangible configurations, policies, and security practices as they relate to users, content, and integrations. Through their understanding of their organization’s infrastructure, Collaboration Engineers enable people to work together, communicate and access data in a secure and efficient manner. Operating with an engineering and solutions mindset, they use tools, programming languages, and APIs to automate workflows. They look for opportunities to educate end users and increase operational efficiency while advocating for Google Workspace and the Google toolset.
New year is around the corner which means all of us are looking forward to the new beginnings. Cloud skills are in great demand and setting a goal of achieving a certification can bring you closer to exciting career opportunities. You can check out the entire playlist here and ask us questions on LinkedIn @pvergadia and Magda Jary. For additional cloud training, register for our interactive digital event Cloud Learn, happening from Dec. 8-9. The event will have live technical demos, Q&As, career development workshops, and more covering everything from Google Cloud fundamentals to certification prep.
By: Priyanka Vergadia (Developer Advocate, Google) and Magda Jary (Head of Google Cloud Certifications)
Source: Google Cloud Blog