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Google Cloud Platform
Elastic Cloud Infrastructure
Scaling
Automation
Load Balancing
Autoscaling
Infrastructure Automation
Register for this course and see more details by visiting:
OpenCourser.com/course/r74pvt/elastic
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Introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform
Empowers participants through video lectures, demos, and hands-on labs
Develops foundational skills in networking, load balancing, and infrastructure automation
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Activities
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Elastic Cloud Infrastructure - Scaling and Automation.
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Career center
Learners who complete Elastic Cloud Infrastructure - Scaling and Automation will develop knowledge and skills
that may be useful to these careers:
Cloud Architect
Cloud Architect
A Cloud Architect designs, builds, and manages cloud computing systems. Understanding how interconnected networks increase the reliability of cloud systems will be beneficial in this role. The skills learned in this course will help build a foundation in automated networking policies, and how automation can improve overall system uptime and minimize downtime for end users.
Cloud Engineer
Cloud Engineer
A Cloud Engineer uses their knowledge of computer networking and cloud computing to build and maintain cloud infrastructure. This course introduces participants to flexible infrastructure and platform services provided by Google Cloud Platform. The labs will help the Cloud Engineer develop skills and knowledge on how to use their automation services, including Cloud Shell.
Cloud Security Engineer
Cloud Security Engineer
A Cloud Security Engineer designs and implements policies and procedures to protect data and systems in the cloud. This course will provide understanding of how to design and configure network security for Google Cloud Platform, which is crucial knowledge for any professional in this role.
DevOps Engineer
DevOps Engineer
A DevOps Engineer works with developers and operations teams to ensure that software is developed and deployed smoothly and efficiently. The course focuses on the infrastructure and platform services provided by Google Cloud Platform. It will help DevOps Engineers build a foundation in bridging the gap between development and operations teams, which is a crucial skill in this role.
Infrastructure Engineer
Infrastructure Engineer
An Infrastructure Engineer designs, builds, and maintains the physical and virtual infrastructure of an organization. This accelerated on-demand course introduces Infrastructure Engineers to the comprehensive and flexible platform services provided by Google Cloud Platform, which they can leverage to improve the efficiency of their infrastructure.
Network Engineer
Network Engineer
A Network Engineer designs, implements, and maintains computer networks. This course will help build a strong foundation in the principles of cloud networking, including knowledge of how to securely interconnect networks.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course will help a Software Engineer build a foundation in Google Cloud Platform, which they can leverage to develop more robust and scalable software systems.
Data Engineer
Data Engineer
A Data Engineer designs and builds systems to collect, store, and analyze data. They are responsible for ensuring the accuracy and integrity of data, as well as developing tools and processes to make data accessible to users. This accelerated on-demand course may be useful to a Data Engineer who wants to explore the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform.
Data Scientist
Data Scientist
A Data Scientist uses scientific methods and statistical techniques to extract knowledge and insights from data. They are responsible for developing and implementing machine learning models, as well as visualizing and communicating their findings. This accelerated on-demand course may be useful to a Data Scientist who wants to utilize Google Cloud Platform to build and deploy machine learning models.
IT Consultant
IT Consultant
An IT Consultant advises clients on how to use technology to improve their business operations. They help clients identify and implement new technologies, as well as develop and implement IT strategies. This accelerated on-demand course may be useful to an IT Consultant who wants to learn more about the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. They work with engineers, designers, and marketers to ensure that products meet the needs of customers. This accelerated on-demand course may be useful to a Product Manager who wants to learn more about the technical aspects of product development.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects. They are responsible for ensuring that projects are completed on time, within budget, and to the required standards. This accelerated on-demand course may be useful to a Project Manager who wants to learn more about the technical aspects of project management.
Sales Engineer
Sales Engineer
A Sales Engineer works with customers to help them understand and purchase technical products and services. They provide technical expertise and guidance to customers, and help them to identify the best solutions for their needs. This accelerated on-demand course may be useful to a Sales Engineer who wants to learn more about the technical aspects of the products and services that they sell.
Systems Analyst
Systems Analyst
A Systems Analyst studies an organization's current business processes and designs new systems to improve efficiency. They work with stakeholders to gather requirements, and then develop and implement new systems. This accelerated on-demand course may be useful to a Systems Analyst who wants to learn more about the technical aspects of systems analysis and design.
Technical Writer
Technical Writer
A Technical Writer creates documentation for technical products and services. They work with engineers and other technical experts to gather information, and then write clear and concise documentation that can be easily understood by users. This accelerated on-demand course may be useful to a Technical Writer who wants to learn more about the technical aspects of the products and services that they document.
For more career information including salaries, visit:
OpenCourser.com/course/r74pvt/elastic
Reading list
We haven't picked any books for this reading list yet.
This guide is ideal for anyone looking to become familiar with the comprehensive list of services in GCP, including compute, storage, database, networking, and big data. It covers essential concepts and provides an overview of best practices for deploying workloads. It good starting point for beginners and cloud professionals migrating to GCP.
Provides an excellent general overview of GCP services, covering deployment of scalable cloud applications. It's suitable for those new to GCP but with some cloud experience, offering practical insights and worked examples. It serves as a strong foundation for understanding the breadth of GCP's offerings.
A comprehensive guide to Google Cloud BigQuery, a fully managed, scalable data warehouse service.
A practical guide to using Google Cloud Platform for data science projects.
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Specifically designed for beginners, this book provides a solid foundation in GCP capabilities. It covers setting up accounts, using core services like Cloud Storage, Compute Engine, and Kubernetes Engine. It is particularly useful for those preparing for the GCP Associate Cloud Engineer certification.
Offers a high-level overview of GCP services through illustrations, making complex concepts more accessible. It's a valuable resource for quickly grasping the relationships between different GCP components and is suitable for visual learners and those seeking a quick reference.
A practical guide focusing on operationalizing scalable data analytics systems on GCP. It covers services like BigQuery, Cloud SQL, Cloud Storage, and Dataflow with hands-on examples. is highly relevant for those interested in data engineering on GCP and preparing for the Professional Data Engineer exam.
This study guide comprehensive resource for individuals preparing for the Professional Cloud Architect certification. It covers a broad range of architectural concepts and best practices on GCP, making it essential for those aiming for advanced roles. It includes practice questions and online learning tools.
Focused specifically on cloud security on GCP, this book is invaluable for those preparing for the Professional Cloud Security Engineer certification. It covers cloud security basics, GCP security tools, and their implementation through clear explanations and practice exercises.
Is tailored for individuals pursuing the Professional Cloud Network Engineer certification. It covers all exam objectives and provides hands-on examples using gcloud commands, making it a practical guide for network professionals on GCP.
Delves into building, training, and optimizing machine learning models on GCP using services like Google Cloud Machine Learning Engine and TensorFlow. It's a practical guide for data scientists and ML developers looking to leverage GCP for their projects.
Explores using GCP's AI-powered services for various applications, from chatbots to image analysis. It's suitable for those with a background in math and Python who want to apply AI/ML on GCP. It provides step-by-step guidance for building and training models.
Offering a collection of practical recipes, this book provides solutions to common tasks and challenges on GCP. It's a useful reference for developers and administrators needing quick, step-by-step guides for implementing various GCP services.
Aimed at the Associate Cloud Engineer certification, this book provides a solid understanding of deploying and managing applications and infrastructure on GCP. It's an excellent resource for beginners and those looking to validate their foundational GCP skills.
While not solely focused on GCP, this book provides a strong foundation in cloud computing principles, architecture, and security that are highly relevant to understanding any cloud platform, including GCP. It's beneficial for gaining prerequisite knowledge.
Offers a hands-on introduction to Google Cloud, covering practical skills and use cases. It's suitable for newcomers to the cloud and those who prefer a practical approach to learning GCP's core concepts and services.
Similar to the other official study guides by Dan Sullivan, this book key resource for the Professional Data Engineer certification. It covers the concepts and practices required for data engineering on GCP, including data processing, analysis, and machine learning.
Is designed as an entry point to GCP and the Cloud Digital Leader certification. It simplifies basic technological elements of GCP and is suitable for aspiring IT professionals and enthusiasts. It covers cloud fundamentals, data, AI/ML, infrastructure, and security.
Introduces platform-agnostic cloud architecture patterns that are highly relevant to designing applications on GCP. While not specific to GCP, the patterns for scalability, handling failure, and distributed users are fundamental for building effective cloud-native applications.
A guide to using Google Cloud Platform for cloud computing, covering topics such as infrastructure, storage, and networking.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/r74pvt/elastic
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