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A Cloud Guru

You learn faster and better when you learn by doing. With that in mind, this course has been designed to teach you core Google Cloud services and features through a 100% hands-on experience. To accomplish this, Linux Academy's Training Architects have hand-selected a set of the best Google Cloud hands-on labs we have to offer. Everything in this course will be inside of a real Google Cloud environment provided to you through our hands-on lab and Cloud Playground platform. There's no reason to wait; learn by doing today!

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Teaches core Google Cloud services and features through hands-on learning experiences
Provides a real Google Cloud environment for hands-on practice
Suitable for learners with no prior experience in Google Cloud

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Learn Google Cloud by Doing with these activities:
Gather and organize resources for Google Cloud learning
Consolidate and organize valuable resources to support your learning throughout the course and beyond.
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  • Identify and collect relevant resources, such as documentation, tutorials, code samples, and community forums
  • Organize the resources into categories or topics
  • Create a central repository, such as a notebook or online document, to store and access the resources
  • Continuously update and expand the compilation as you progress through the course
Complete hands-on lab exercises in Google Cloud environment
Immerse yourself in Google Cloud by actively practicing core concepts through hands-on exercises.
Browse courses on Google Cloud
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  • Access the hands-on lab environment provided by Linux Academy
  • Follow the step-by-step instructions to complete each lab exercise
  • Troubleshoot any errors or challenges encountered during the exercises
  • Review and analyze the outcomes of each exercise to reinforce understanding
Explore Google Cloud documentation and tutorials
Supplement your hands-on experience by delving into official documentation and guided tutorials to deepen your understanding of Google Cloud services.
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  • Refer to the Google Cloud documentation for in-depth information on specific features and services
  • Utilize online tutorials to enhance your understanding of complex concepts and technologies
  • Experiment with code samples provided in the documentation and tutorials to gain practical experience
  • Engage with the Google Cloud community forums to seek support and share knowledge
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Build a portfolio of small-scale Google Cloud projects
Solidify your knowledge by applying Google Cloud concepts to real-world scenarios and building your own projects.
Browse courses on Project Development
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  • Identify a specific problem or use case that you want to solve using Google Cloud services
  • Design and plan the architecture of your project, considering scalability, security, and cost optimization
  • Implement your project using appropriate Google Cloud services and tools
  • Test and debug your project to ensure it meets the desired requirements
  • Document your project and share it publicly on GitHub or other platforms

Career center

Learners who complete Learn Google Cloud by Doing will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Learn Google Cloud by Doing.
Provides a practical guide to Kubernetes, the container orchestration system used by Google Cloud. It would be valuable for learners who want to gain a deeper understanding of how Kubernetes works and how to use it effectively.
This comprehensive textbook provides a thorough foundation in cloud computing concepts, technologies, and architecture. It would serve as an excellent resource for gaining a deeper understanding of the underlying principles behind Google Cloud services.
Provides a comprehensive overview of big data concepts, technologies, and use cases. While it is not specific to Google Cloud, it would be valuable for learners who want to gain a deeper understanding of big data principles and applications.
Delves into the challenges and best practices of designing and building data-intensive applications. While it is not specific to Google Cloud, it provides valuable insights and techniques that can be applied to any cloud platform.
Provides insights into the principles and practices of site reliability engineering (SRE). It would be helpful for learners interested in understanding how to build and maintain reliable and scalable cloud applications.

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