Road to Google Cloud Certification

Road to Google Cloud Certification is a free 6-week guided program designed for people who want to prepare for a Google Cloud certification.

Nov 23, 2021, 4:30 AM – Jan 10, 2022, 3:30 PM

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Key Themes

Career DevelopmentCloudCommunity BuildingDataDevOpsEnterprise/Business SolutionsMachine LearningNetworkingRoad to Google Developers Certification

About this event

Start Your Google Cloud certification Journey

Road to Google Cloud Certification is a free 6-week guided program designed for people who want to prepare for a Google Cloud certification.

You will learn through a mix of live webinars, on-demand content, hands-on labs and study groups to help you achieve your goal to get Google Cloud certified.

With the help of live study groups and a community forum led by Google Developer Groups, you will embark on this journey not only with certified trainers but also with people on the same path as you.


To register: https://events.withgoogle.com/road-to-certification-india/

Community Page: https://www.googlecloudcommunity.com/


Associate Cloud Engineer

Associate Cloud Engineers 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.


Professional Cloud Architect

Professional Cloud Architects 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.


Professional Data Engineer

Professional Data Engineers 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.


Professional Cloud Network Engineer

A Professional Cloud Network Engineer 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.


Professional Cloud Security Engineer

A Cloud Security Engineer 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.


Professional Cloud DevOps Engineer

A Professional Cloud DevOps Engineer is 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.


Professional Machine Learning Engineer

A Professional Machine Learning Engineer designs, builds, and productionizes ML models to solve business challenges using Google Cloud technologies and knowledge of proven ML models and techniques. ML Engineers consider responsible AI throughout the ML development process, and collaborates closely with other job roles to ensure long-term success of models. They should be proficient in all aspects of model architecture, data pipeline interaction, and metrics interpretation, as well as 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.


Professional Cloud Developer

Professional Cloud Developers build scalable and highly available applications using Google-recommended practices and tools. They have experience with cloud-native applications, developer tools, managed services, and next-generation databases. Cloud Developers are also proficient with at least one general-purpose programming language and are skilled at producing meaningful metrics and logs to debug and trace code.



Organizers

  • Prateek Pandey

    Isthara Parks Pvt Ltd

    GDG Cloud Organizer

  • Aarshad Devani

    Storable India Pvt. Ltd

    GDG Cloud Organizers

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