We may earn an affiliate commission when you visit our partners.

Course Discontinued We've found some alternatives for you:

Top Active Alternatives

Google Cloud Compute and Scalability for Azure Professionals is no longer accepting new enrollments. We've matched the highest-rated active courses in this subject:

Coursera ★ 5.0

Cloud Deployment and Scaling with ASP.NET Core

By George Washington University

Read Reviews → Enroll Active

Udemy ★ 4.8

HashiCorp Certified: Terraform Associate Prep Course

Read Reviews → Enroll Active

Coursera ★ 4.8

Azure Network Configuration

By Microsoft

Read Reviews → Enroll Active

Google Cloud Compute and Scalability for Azure Professionals

Google Cloud

This is the second course of a four-course series for cloud architects and engineers with existing Azure knowledge. It aims to compare Google Cloud and Azure solutions and guide professionals on their use. This course focuses on compute resources and load balancing in Google Cloud. The learner will apply the knowledge of using virtual machines and load balancers in Azure to explore the similarities and differences with configuring and managing compute resources and load balancers in Google Cloud. Learners will get hands-on practice building and managing Google Cloud resources.

This course is no longer available. Find something similar by browsing:

Google Cloud Azure Virtual Machines Load Balancing Managed Instance Groups

What's inside

Syllabus

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Suitable for cloud architects and engineers with knowledge of Azure

Compares and contrasts Google Cloud and Azure solutions

In-depth focus on compute resources and load balancing in Google Cloud

Practical hands-on practice in building and managing Google Cloud resources

Taught by Google Cloud instructors

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Reviews summary

Gcp bridge for azure professionals

According to students, this course is a highly effective bridge for Azure professionals transitioning to Google Cloud, particularly focusing on compute and scalability. Learners consistently highlight the clear comparisons between GCP and Azure solutions as a major strength, making complex concepts intuitive. The course is praised for its practical, hands-on labs and demonstrations, which allow students to apply theoretical knowledge immediately. While overwhelmingly positive, some mention it assumes a solid Azure foundation and recommend supplementary study for deeper dives into certain advanced topics. The course appears to be well-maintained and relevant, with recent reviews reflecting continued satisfaction.

Course content generally current, with minor UI differences.

"The course materials feel current, which is essential for cloud platforms that change so rapidly."

"Despite a few minor GCP UI updates since the course was made, the core concepts taught remain highly relevant."

"I was pleased to find the content largely reflective of the current Google Cloud environment."

Concepts are presented clearly and are easy to grasp.

"The instructor's explanations were very clear, breaking down complex GCP concepts into understandable modules."

"I found the content to be well-structured and easy to follow, even for areas I wasn't familiar with."

"The clarity of the lectures really helped me grasp how GCP's compute services function compared to Azure."

Provides practical, application-focused labs and demos.

"The hands-on labs were extremely useful and really helped solidify my understanding of GCP compute resources."

"I appreciate the practical approach; getting to configure resources directly helped me learn much faster."

"The demos and exercises were the strongest part of the course, allowing me to apply what was taught immediately."

Excellent for professionals transitioning from Azure.

"As an Azure professional, this course was invaluable. The comparisons between GCP and Azure made the transition much smoother."

"I found the course extremely helpful in translating my existing Azure knowledge to Google Cloud, especially for VMs and load balancing."

"This is exactly what I needed to bridge my skills. It perfectly highlighted similarities and critical distinctions."

Offers good foundational depth but not for advanced optimization.

"It provides a great overview, but I would have liked more in-depth coverage on advanced load balancing techniques."

"This course is a perfect starting point for GCP compute, but doesn't delve into every nuance of optimization."

"Some topics, while introduced, could benefit from more detailed practical scenarios for advanced users."

Requires a solid foundational understanding of Azure.

"Be warned: this course truly assumes you have a strong background in Azure; it's not for beginners to cloud."

"I recommend refreshing your Azure fundamentals before starting, as the comparisons rely heavily on that knowledge."

"While excellent, learners without a solid Azure background might find the pace challenging."

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 Compute and Scalability for Azure Professionals with these activities:

Practice with Bash Scripting

Show steps

Strengthen your Bash scripting skills to better navigate and manage resources in Google Cloud.

Browse courses on Bash Scripting

Show steps

Review Bash scripting basics and syntax.
Practice writing simple Bash scripts to automate tasks.
Utilize Bash scripting to interact with Google Cloud resources using the gcloud CLI.

Review computer networking fundamentals

Show steps

Revisit essential networking principles to reinforce your understanding before starting the course.

Browse courses on TCP/IP

Show steps

Re-read course materials on networking fundamentals from previous coursework or study materials.
Complete practice questions on networking topics.

Review Networking Fundamentals

Show steps

Strengthen your foundational understanding of networking to prepare for this Azure-focused course and to bridge gaps in knowledge between Azure and Google Cloud.

View Computer Networking: A Top-Down Approach (6th... on Amazon

Show steps

Read the first three chapters of the book, focusing on the OSI model and network protocols.
Complete the practice exercises and review questions at the end of each chapter.
Summarize the key concepts in your own words and create a mind map of the OSI model.

Seven other activities

Expand to see all activities and additional details

Show all ten activities

Review Azure Compute and Load Balancing Concepts

Show steps

Refresh your knowledge of Azure compute and load balancing concepts to build a stronger foundation for comparing and understanding Google Cloud solutions.

Browse courses on Azure Compute

Show steps

Review documentation and tutorials on Azure Virtual Machines and Load Balancing.
Complete hands-on exercises in the Azure portal to create and manage virtual machines and load balancers.
Identify the key differences and similarities between Azure compute and load balancing and Google Cloud compute and load balancing.

Configure virtual machines in Azure

Show steps

Get practical experience configuring virtual machines in Azure to correlate with the upcoming lessons.

Browse courses on Virtual Machine

Show steps

Review documentation and tutorials on Azure Virtual Machine creation.
Set up an Azure account if you don't have one.
Create and configure virtual machines using the Azure portal.
Experiment with different virtual machine settings.

Explore Google Cloud Compute Engine and Load Balancing

Show steps

Explore the Google Cloud Compute Engine and Load Balancing services through guided tutorials to gain hands-on experience and familiarity.

Browse courses on Google Cloud Load Balancing

Show steps

Follow the Google Cloud tutorials on creating and managing virtual machines using Compute Engine.
Explore the documentation and create a load balancer using Google Cloud Load Balancing.
Configure and test the load balancer to distribute traffic across multiple virtual machines.
Experiment with different load balancing algorithms and monitor the performance of your load balancer.

Practice Creating and Managing Google Cloud Resources

Show steps

Reinforce your understanding of Google Cloud by practicing the creation and management of various resources using the Google Cloud Console and gcloud CLI.

Browse courses on Google Cloud Platform

Show steps

Create and manage virtual machines, networks, and storage buckets in Google Cloud.
Use the gcloud CLI to perform resource management tasks from the command line.
Write scripts to automate resource provisioning and management.

Design a Cloud Solution Architecture

Show steps

Apply your understanding of Google Cloud to design a cloud solution architecture for a real-world scenario, considering scalability, security, and cost-effectiveness.

Browse courses on Cloud Architecture

Show steps

Identify the requirements and constraints for the cloud solution.
Design the architecture, including the selection of services, resource allocation, and security measures.
Document the architecture in a clear and concise manner.

Contribute to Google Cloud Open Source Projects

Show steps

Deepen your understanding of Google Cloud by contributing to open source projects in the Google Cloud ecosystem, enhancing your problem-solving and collaboration skills.

Browse courses on Open Source

Show steps

Identify a Google Cloud open source project that aligns with your interests.
Review the project documentation and codebase.
Find and fix bugs or suggest improvements.
Submit a pull request with your contributions.

Attend Google Cloud Community Events

Show steps

Expand your network and stay updated on the latest Google Cloud trends and technologies by attending Google Cloud community events.

Show steps

Find and register for upcoming Google Cloud events in your area.
Attend the events and actively participate in discussions.
Connect with other Google Cloud enthusiasts and professionals.

Career center

Learners who complete Google Cloud Compute and Scalability for Azure Professionals will develop knowledge and skills that may be useful to these careers:

Cloud Architect

Cloud Architects design, build, and manage cloud computing systems. They work with clients to understand their business needs and then design and implement cloud solutions that meet those needs. Cloud Architects must have a deep understanding of cloud computing technologies and how they can be used to solve business problems. They must also be able to communicate effectively with both technical and non-technical stakeholders.

See salaries and explore the career path for Cloud Architect

Cloud Engineer

Cloud Engineers build and manage cloud computing systems. They work with Cloud Architects to design and implement cloud solutions and then manage those solutions on a day-to-day basis. Cloud Engineers must have a deep understanding of cloud computing technologies and how they can be used to solve business problems. They must also be able to work independently and as part of a team.

See salaries and explore the career path for Cloud Engineer

DevOps Engineer

DevOps Engineers work to bridge the gap between development and operations teams. They use their knowledge of both development and operations to help teams deliver software faster and more efficiently. DevOps Engineers must have a deep understanding of both development and operations processes and tools. They must also be able to work effectively with both developers and operations staff.

See salaries and explore the career path for DevOps Engineer

Site Reliability Engineer

Site Reliability Engineers (SREs) are responsible for the reliability of cloud computing systems. They work to ensure that systems are up and running and that they are performing at their best. SREs must have a deep understanding of cloud computing technologies and how they can be used to build reliable systems. They must also be able to work independently and as part of a team.

See salaries and explore the career path for Site Reliability Engineer

Software Engineer

Software Engineers design, develop, and maintain software applications. They work with clients to understand their business needs and then design and implement software solutions that meet those needs. Software Engineers must have a deep understanding of software development principles and technologies. They must also be able to work independently and as part of a team.

See salaries and explore the career path for Software Engineer

Data Engineer

Data Engineers design, build, and manage data pipelines. They work with clients to understand their data needs and then design and implement data solutions that meet those needs. Data Engineers must have a deep understanding of data engineering principles and technologies. They must also be able to work independently and as part of a team.

See salaries and explore the career path for Data Engineer

Data Scientist

Data Scientists use data to solve business problems. They work with clients to understand their business needs and then use data to develop solutions that meet those needs. Data Scientists must have a deep understanding of data science principles and technologies. They must also be able to work independently and as part of a team.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, build, and manage machine learning models. They work with clients to understand their business needs and then design and implement machine learning solutions that meet those needs. Machine Learning Engineers must have a deep understanding of machine learning principles and technologies. They must also be able to work independently and as part of a team.

See salaries and explore the career path for Machine Learning Engineer

Cloud Security Engineer

Cloud Security Engineers design, build, and manage cloud security systems. They work with clients to understand their security needs and then design and implement security solutions that meet those needs. Cloud Security Engineers must have a deep understanding of cloud security principles and technologies. They must also be able to work independently and as part of a team.

See salaries and explore the career path for Cloud Security Engineer

Cloud Network Engineer

Cloud Network Engineers design, build, and manage cloud networking systems. They work with clients to understand their networking needs and then design and implement networking solutions that meet those needs. Cloud Network Engineers must have a deep understanding of cloud networking principles and technologies. They must also be able to work independently and as part of a team.

See salaries and explore the career path for Cloud Network Engineer

Cloud Storage Engineer

Cloud Storage Engineers design, build, and manage cloud storage systems. They work with clients to understand their storage needs and then design and implement storage solutions that meet those needs. Cloud Storage Engineers must have a deep understanding of cloud storage principles and technologies. They must also be able to work independently and as part of a team.

See salaries and explore the career path for Cloud Storage Engineer

Cloud Database Engineer

Cloud Database Engineers design, build, and manage cloud database systems. They work with clients to understand their database needs and then design and implement database solutions that meet those needs. Cloud Database Engineers must have a deep understanding of cloud database principles and technologies. They must also be able to work independently and as part of a team.

See salaries and explore the career path for Cloud Database Engineer

Cloud DevOps Engineer

Cloud DevOps Engineers work to bridge the gap between development and operations teams in the cloud. They use their knowledge of both development and operations to help teams deliver software faster and more efficiently. Cloud DevOps Engineers must have a deep understanding of both development and operations processes and tools. They must also be able to work independently and as part of a team.

See salaries and explore the career path for Cloud DevOps Engineer

Cloud Security Analyst

Cloud Security Analysts monitor and analyze cloud security systems for threats. They work with Cloud Security Engineers to identify and mitigate security risks. Cloud Security Analysts must have a deep understanding of cloud security principles and technologies. They must also be able to work independently and as part of a team.

See salaries and explore the career path for Cloud Security Analyst

Cloud Architect Associate

Cloud Architect Associates work under the supervision of Cloud Architects to design, build, and manage cloud computing systems. They must have a deep understanding of cloud computing technologies and how they can be used to solve business problems. Cloud Architect Associates may also be responsible for managing cloud computing projects.

See salaries and explore the career path for Cloud Architect Associate

Reading list

We've selected 14 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 Compute and Scalability for Azure Professionals.

Cloud Computing

Save

Provides a comprehensive overview of cloud computing concepts and technologies. It covers topics such as cloud architecture, virtualization, and cloud security.

Top Active Alternatives

Google Cloud Compute and Scalability for Azure Professionals

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Gcp bridge for azure professionals

Activities

Career center

Reading list

Share

Similar courses

Pluralsight Buyer Protection & Guarantee

10-Day Free Trial

Cancel Anytime (Non-Refundable Once Billed)

Verified Academic & Industry Partner