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Google Cloud Training

This is the third course of a four-course series for cloud architects and engineers with existing Azure knowledge. It compares Google Cloud and Azure solutions and guides professionals on their use.

This course focuses on storage options and containers in Google Cloud. The learners apply the knowledge of storage and containers in Azure to explore how they differ from Google Cloud. Learners get hands-on practice building and managing Google Cloud resources.

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What's inside

Syllabus

Storage in Google Cloud
In this module, you will learn about core storage options in Google Cloud and the use cases for each. You will examine the similarities and differences between Azure Blob Storage and Cloud Storage, Azure SQL and Cloud SQL, and the data lake services in both platforms.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers topics that are standard practice in cloud architecture
Guides students in using Google Cloud and Azure solutions
Helps students in comparing Google Cloud and Azure options
Provides hands-on practice with Google Cloud resources
Requires students to have background in Azure knowledge

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Reviews summary

Google cloud for azure professionals: storage & containers

According to students, this course is an invaluable bridge for Azure professionals looking to transition to Google Cloud, particularly for storage and container services. Learners consistently praise the direct comparisons between Azure and GCP services, such as Blob Storage vs. Cloud Storage and AKS vs. GKE, which greatly clarify concepts. The hands-on labs are highlighted as practical and effective in solidifying understanding. While the storage module is generally considered comprehensive, some more experienced learners noted the container section could benefit from deeper coverage for advanced deployment strategies and that Anthos content felt somewhat light. Overall, it's considered a solid, practical introduction.
The storage section is thorough and well-explained.
"The storage part was solid."
"The module on Cloud Storage was very comprehensive, covering all the different types and their ideal use cases."
"I gained a very thorough understanding of Cloud SQL compared to Azure SQL, which was excellent."
Labs are effective and solidify conceptual understanding.
"The hands-on labs really solidified the concepts."
"The labs were well-designed and functional. I felt much more confident discussing GCP after this."
"I found the practical examples extremely helpful; they truly reinforced my learning."
Directly compares GCP to Azure services, invaluable for professionals.
"As an Azure Solution Architect, I found this course incredibly helpful in bridging my knowledge to Google Cloud. The comparisons... were spot on and incredibly clear."
"Coming from an Azure background, the direct comparisons were invaluable. It saved me so much time trying to map concepts."
"I really appreciated understanding the Google Cloud equivalents to Azure services; it made the concepts click faster."
Some demonstrations move quickly, requiring re-watching.
"One minor point, some of the demos moved a bit fast, and I had to rewatch a few times."
"I sometimes had to pause and rewatch specific practical demonstrations because they moved quickly."
Anthos content is present but considered somewhat light.
"Anthos was a bit light."
"I felt the Anthos segment was a bit rushed and could have used more detail."
"I found myself needing to do extra reading for a deeper dive into Anthos after completing the course."
Container content may lack depth for advanced Kubernetes users.
"If you're already quite advanced in Kubernetes on Azure, the GKE section might feel a bit basic."
"I felt the container section, while covering GKE well, could have gone deeper into advanced deployment strategies."
"I was hoping for more depth, especially concerning migrating complex containerized workloads to GCP."

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 Google Cloud Storage and Containers for Azure Professionals with these activities:
Familiarize yourself with Azure Blob Storage and Cloud Storage
Review Azure Blob Storage and Cloud Storage to refresh your understanding of the concepts that will be further expanded on in the course.
Browse courses on Azure Blob Storage
Show steps
  • Review the documentation for Azure Blob Storage.
  • Review the documentation for Cloud Storage.
Review Azure Fundamentals concepts
Reviewing Azure core concepts will help you build a stronger foundation for understanding Google Cloud concepts and services.
Browse courses on Azure Fundamentals
Show steps
  • Revisit official Azure documentation
  • Take practice quizzes
  • Participate in Azure community forums
Explore the Google Cloud Platform Console
Get hands-on experience with the Google Cloud Platform Console to familiarize yourself with the interface and tools you will be using throughout the course.
Browse courses on Google Cloud Platform
Show steps
  • Create a Google Cloud Platform account.
  • Log in to the Google Cloud Platform Console.
  • Explore the various sections and features of the console.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Join a study group focused on Google Cloud storage and containers
Participating in a study group will allow you to connect with other learners, share knowledge, and receive support.
Show steps
  • Find or create a peer study group
  • Set regular meeting times
  • Discuss course material, share resources, and practice skills
Explore Google Cloud Storage vs. Azure Blob Storage
By comparing the functionalities and features of Google Cloud Storage and Azure Blob Storage, you will gain a better understanding of the differences between the two services.
Browse courses on Google Cloud Storage
Show steps
  • Follow official tutorials on both platforms
  • Create sample storage accounts
  • Upload and download files
  • Configure access control and security settings
Create and manage GKE clusters
Hands-on practice with GKE will help you gain proficiency in managing containerized applications in Google Cloud.
Browse courses on Kubernetes
Show steps
  • Set up a GKE cluster
  • Deploy a containerized application
  • Scale and manage the cluster
  • Monitor and troubleshoot deployments
Design and implement a data storage solution
By designing and implementing a data storage solution, you will apply your knowledge of Google Cloud storage options and demonstrate your proficiency.
Browse courses on Data Storage
Show steps
  • Define storage requirements and choose appropriate services
  • Design and implement the data storage solution
  • Test and evaluate the solution
  • Document and present your findings
Participate in a hackathon focused on Google Cloud
By participating in a hackathon, you will be able to test your skills, collaborate with others, and build innovative solutions using Google Cloud technologies.
Show steps
  • Find a relevant hackathon
  • Form a team or join an existing one
  • Develop a project idea and build a solution
  • Present your project and compete for prizes
Collect resources on Google Cloud vs. Azure
Gathering resources on both Google Cloud and Azure will help you build a comprehensive knowledge base and support your ongoing learning.
Show steps
  • Search for articles, whitepapers, and documentation
  • Organize resources by topic
  • Create a reference guide or shared repository

Career center

Learners who complete Google Cloud Storage and Containers for Azure Professionals will develop knowledge and skills that may be useful to these careers:
Cloud Architect
A Cloud Architect designs, builds, and manages cloud computing systems. This course teaches learners about the different storage options and containers in Google Cloud and how they compare to Azure. This knowledge can help Cloud Architects make informed decisions about which cloud platform to use for their projects.
Software Engineer
Software Engineers design, develop, and maintain software systems. This course teaches learners about the different storage options and containers in Google Cloud and how they compare to Azure. This knowledge can help Software Engineers choose the right storage and container solutions for their applications.
Data Engineer
Data Engineers design, build, and manage data systems. This course teaches learners about the different storage options and containers in Google Cloud and how they compare to Azure. This knowledge can help Data Engineers choose the right storage and container solutions for their data pipelines.
DevOps Engineer
DevOps Engineers automate and streamline the software development and deployment process. This course teaches learners about the different storage options and containers in Google Cloud and how they compare to Azure. This knowledge can help DevOps Engineers choose the right storage and container solutions for their CI/CD pipelines.
Site Reliability Engineer
Site Reliability Engineers ensure the reliability and performance of cloud-based systems. This course teaches learners about the different storage options and containers in Google Cloud and how they compare to Azure. This knowledge can help Site Reliability Engineers choose the right storage and container solutions for their systems.
Cloud Security Engineer
Cloud Security Engineers protect cloud-based systems from cyber threats. This course teaches learners about the different storage options and containers in Google Cloud and how they compare to Azure. This knowledge can help Cloud Security Engineers choose the right storage and container solutions for their systems.
Data Scientist
Data Scientists use data to solve business problems. This course teaches learners about the different storage options and containers in Google Cloud and how they compare to Azure. This knowledge can help Data Scientists choose the right storage and container solutions for their data science projects.
Machine Learning Engineer
Machine Learning Engineers design, build, and deploy machine learning models. This course teaches learners about the different storage options and containers in Google Cloud and how they compare to Azure. This knowledge can help Machine Learning Engineers choose the right storage and container solutions for their machine learning projects.
Cloud Network Engineer
Cloud Network Engineers design, build, and manage cloud-based networks. This course teaches learners about the different storage options and containers in Google Cloud and how they compare to Azure. This knowledge can help Cloud Network Engineers choose the right storage and container solutions for their networks.
Cloud Storage Administrator
Cloud Storage Administrators manage cloud-based storage systems. This course teaches learners about the different storage options and containers in Google Cloud and how they compare to Azure. This knowledge can help Cloud Storage Administrators choose the right storage and container solutions for their organizations.
Cloud Database Administrator
Cloud Database Administrators manage cloud-based databases. This course teaches learners about the different storage options and containers in Google Cloud and how they compare to Azure. This knowledge can help Cloud Database Administrators choose the right storage and container solutions for their databases.
Cloud Security Analyst
Cloud Security Analysts identify and mitigate security threats to cloud-based systems. This course teaches learners about the different storage options and containers in Google Cloud and how they compare to Azure. This knowledge can help Cloud Security Analysts choose the right storage and container solutions for their systems.
Cloud Solutions Architect
Cloud Solutions Architects design and build cloud-based solutions. This course teaches learners about the different storage options and containers in Google Cloud and how they compare to Azure. This knowledge can help Cloud Solutions Architects choose the right storage and container solutions for their clients.
Cloud Support Engineer
Cloud Support Engineers provide technical support for cloud-based systems. This course teaches learners about the different storage options and containers in Google Cloud and how they compare to Azure. This knowledge can help Cloud Support Engineers troubleshoot and resolve issues related to storage and containers.
Cloud Trainer
Cloud Trainers provide training on cloud-based technologies. This course teaches learners about the different storage options and containers in Google Cloud and how they compare to Azure. This knowledge can help Cloud Trainers develop and deliver training programs on cloud storage and containers.

Reading list

We've selected eight 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 Google Cloud Storage and Containers for Azure Professionals.
This guide provides a comprehensive introduction to Google Cloud Storage, covering key concepts, best practices, and hands-on tutorials. It's an excellent resource for readers seeking a deeper understanding of Google Cloud's storage services.
Offers a practical approach to understanding Kubernetes, covering its architecture, deployment, and management. It provides hands-on examples and case studies, making it suitable for readers interested in implementing Kubernetes in real-world scenarios.
This comprehensive textbook covers fundamental concepts of cloud computing, including storage and containerization. It provides a theoretical foundation and background knowledge to support the course content.
Provides a hands-on introduction to Kubernetes. It valuable resource for anyone who wants to learn how to use Kubernetes to manage and deploy containers.
Provides a comprehensive overview of Docker. It valuable resource for anyone who wants to learn more about how Docker works and how to use it effectively.
Provides a comprehensive introduction to Site Reliability Engineering (SRE). While it doesn't directly cover storage or containers, it offers valuable insights into Google's approach to managing and operating large-scale systems.
Provides a collection of best practices for using Kubernetes. It valuable resource for anyone who wants to learn how to use Kubernetes effectively.

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