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Cloud Architecture with Google Cloud Professional Certificate

Cloud Architecture with Google Cloud Professional Certificate
Online Course Highlights
  • Google Cloud Training via Coursera
  • Learn for FREE, Up-gradable
  • 3 Months of effort required
  • 16229+ already enrolled!
  • ★★★★★ (8,278 ratings)
  • Skill Level: Intermediate
  • Language: Language

This is a 7 course specialization that is all about the Google Cloud Professional Cloud Architect. This specialization will help you by providing the abilities you wish to advance your career in cloud architecture. With the help of this course, you will get a pathway to earn the industry-recognized Google Cloud Professional Cloud Architect certification. As you start learning, you will deploy solution elements, including infrastructure components like networks, systems, and applications services. Moreover, you may also gain planet experience through a variety of hands-on Qwiklabs projects that you just can share with potential employers.

Throughout the course, you will be given the opportunity to y practice key job skills, including case analysis, identifying technical watchpoints. Moreover, you will go through the process of developing proposed solutions and test your basic abilities with Activity Tracking Challenge Labs. This course also includes sample questions similar to those on the exam, including solutions and practice exam quizzes that can help you prepare for the exam.

Online Course Effectiveness Score by TakeThisCourse.net:

Content Engagement Practice Career Benefit

What will you learn through the Specialization?

With the help of this specialization, you will have the desired skills in your hand that will make you a success in a cloud architect role. The specialization, also helps the individuals to be able to prepare for the Professional Cloud Architect certification. You will get a good idea about the infrastructure and platform services provided by Google Cloud Platform. Last but not least you will be able to easily define application requirements and express them as KPIs, SLOs, and SLIs.

What are the skills that you will be gaining through this Specialization?

Following are the skills that you can gain through this course:

  • Google Compute Engine
  • Google App Engine (GAE)
  • Google Cloud Platform
  • Cloud Computing
  • Virtual Machine
  • Network Architecture
  • Debugging
  • Cloud Storage
  • Data Store
  • Load Balancing
  • Virtual Private Network (VPN)
  • Autoscaling


We will now look at the feedback for the courses of this specialization. This will give us a good insight into what each course has to offer.

Positive Feedback

  • This was one of the simplest learning I had. Very simple and understandable due to doing the labs and understand the concepts. Although the content is around fundamentals, it helps to recollect the terminologies (Sanjeev K V, ★★★★★).
  • Great course to introduce the specialization. It may be more robust, but it does the task, and you’re also given links for documents that may facilitate you on what things you learn within the course (Sanjeev K V, ★★★★★).
  • This is an Awesome Course. I had the need to learn a lot about the VM Instance and its usage. For me, the Storage Bucket concepts were explained really well. Also, in specific, the Lab for expanding a Minecraft server was super cool (Rohith K R, ★★★★★).
  • Thanks to Google and its team for producing such awesome and helpful training content. It had been a breeze to grasp about GCP and core services even for someone like me (Nandakumar, ★★★★★).
  • Gets a bit more in-depth than the primary because it should. The course is pretty interesting, undecided about the main target on Stackdriver with it being basically a paid extra. But, of course, I can see the worth in it (Gareth D, ★★★★★).
  • This was an excellent course. It moved a touch fast, but the labs were very detailed. Moreover, the course helped me learn to navigate a variety of concepts and also made me alert to other areas where I will be able to dig deeper (Chris R, ★★★★★).
  • The labs during this course were plenty of fun. Deployment Manager and Terraform are two systems that I’ve got been fascinated by for a while. In my opinion, it had been great at building small things out with them (Scott B, ★★★★★).
  • Even if you do not want to target google cloud, this course explains the overall best cloud design practices and processes. The course content is fine and comprehensive. Together with lectures, the actual application example takes us from a monolithic single process to full micro-services-based architecture. Excellent course for cloud infra designs and architecture (Hardik A P, ★★★★★).
  • A good introduction to GKE. This course is ranging from defining cloud in general to presenting the various compute solutions in GCP. Until arriving at K8s specifics. I’ll recommend it to anybody (Hamid E, ★★★★★).
  • Great course, expect us to read and practice plenty. 1st lab was easy. But I think the 2nd took me a long time to grasp. I spent a lot of your time preparing and at last got it. On the 3rd one, I spent a lot of your time preparing before attempting the lab. I am now very confident about the exam. many thanks, Coursera (MR A K R, ★★★★★).

Negative Feedback

  • The script is extremely boring. The narrative is extremely monotonous. It’s better to read the script, which makes me question the experience, and also the money I spent on this course (Arash B, ★☆☆☆☆).
  • The networking labs were excellent, but the remainder of the course felt less like education. To me, it seemed like an extended pitch for Google products (Alex K, ★★★☆☆).
  • The presentation material wasn’t well developed, and therefore the delivery felt rushed. There were a lot of lab techniques. All of them were just copy/paste actions without explaining what was being done and why (Richard L S, ★★☆☆☆).
  • I was looking forward to this part of the course to include Docker / K8s features only. But all it did was repeated the basic Cloud Console features. Which was simply boring for the beginners? (Krzysztof Z, ★★☆☆☆).
  • Take pain within the Coursera toolchain to automatically mark the modules. That I’ve got completed already as a part of PCA specialization. I had to try to do the full thing again (Saravanan C, ★★★☆☆).

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