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This course will familiarize you with Google Cloud's flexible infrastructure and platform services, with a specific focus on Compute Engine. This session uses a combination of lectures, demos, and hands-on labs to explore and deploy solution elements, including infrastructure components like networks, systems, and application services. You'll also learn how to deploy practical solutions such as secure interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

Duration: 24h

Học phí: 14, 100,000 VND 

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After completing the course, students will have the following knowledge:

  • Configure VPC networks and virtual machines
  • Administer Identity and Access Management for resources
  • Implement data storage services in GCP
  • Manage and examine billing of GCP resources
  • Monitor resources using Stackdriver services
  • Connect your infrastructure to GCP
  • Configure load balancers and autoscaling for VM instances
  • Automate the deployment of GCP infrastructure services
  • Leverage managed services in GCP
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  • Cloud Solutions Architects, DevOps Engineers.
  • Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure, with a focus on Compute Engine
  • Have completed Google Cloud Platform Fundamentals: Core Infrastructure
  • Have basic proficiency with command-line tools and Linux operating system environments.
  • Have systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment.
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Introduction to Google Cloud

List the different ways of interacting with Google Cloud.
Use the Cloud Console and Cloud Shell.
Create Cloud Storage buckets.
Use the Google Cloud Marketplace to deploy solutions.


Virtual Networks

List the VPC objects in Google Cloud.
Differentiate between the different types of VPC networks.
Implement VPC networks and firewall rules.
Implement Private Google Access and Cloud NAT.


Virtual Machines

Recall the CPU and memory options for virtual machines.
Describe the disk options for virtual machines.
Explain VM pricing and discounts.
Use Compute Engine to create and customize VM instances.


Cloud IAM

Describe the Cloud IAM resource hierarchy.
Explain the different types of IAM roles.
Recall the different types of IAM members.
Implement access control for resources using Cloud IAM.


Storage and Database Services

Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable.
Choose a data storage service based on your requirements.
Implement data storage services.


Resource Management

Recognize how quotas protect Google Cloud customers.
Use labels to organize resources.
Explain the behavior of budget alerts in Google Cloud.
Examine billing data with BigQuery.


Resource Monitoring

Describe the services for monitoring, logging, error reporting, tracing, and debugging.
Create charts, alerts, and uptime checks for resources with Cloud Monitoring.
Use Cloud Debugger to identify and fix errors.


Interconnecting Networks

Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud.
Determine which Google Cloud interconnect or peering service to use in specific circumstances.
Create and configure VPN gateways.
Recall when to use Shared VPC and when to use VPC Network Peering.


Load Balancing and Autoscaling

Recall the various load balancing services.
Determine which Google Cloud load balancer to use in specific circumstances.
Describe autoscaling behavior.
Configure load balancers and autoscaling.


Infrastructure Modernization

Automate the deployment of Google Cloud services using Deployment Manager or Terraform.
Outline the Google Cloud Marketplace.


Managed Services

Describe the managed services for data processing in Google Cloud.
Study with
Google Cloud expert

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Student feedback

Cloud Ace Training
Bringing great experiences to students

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Trần Tuấn Anh


After completing the Associate Cloud Engineer course, I knew how to operate and deploy projects on Google Cloud and confidently took the Google Cloud certification exam.

Nguyễn Ngọc Minh Thy

Data Engineer

After completing the Professional Data Engineer course, I have enough knowledge and confidence to take the Google Cloud certification exam to prepare for my upcoming job.

Trương Quốc Thắng

Data Engineer

I learned how to choose tools and apply them to businesses to process data effectively through the Professional Data Engineer course.

Phạm Văn Hùng


Khóa học rất chi tiết và đầy đủ, sau khi học xong khóa học Associate Cloud Engineer, mình rất muốn có cơ hội học thêm các khóa học khác để hiểu rõ hơn về Google Cloud

Dương Minh Phương


Sau khi học xong khóa học Associate Cloud Engineer, mình đã hiểu rõ về Google Cloud và có thể đưa ra các giải pháp cho doanh nghiệp triển khai các dự án trên GCP
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    câu hỏi thường gặp

    Cloud Ace is a Google Cloud training unit, so it does not organize exams and provide Google Cloud certifications. Cloud Ace only supports providing certificates of course completion for students while waiting for the Google Cloud certification exam

    In addition, if you want to take the Google Cloud certification exam, Cloud Ace will guide you to register for the Online or Offline exam at the authorized Google Cloud test centers in Vietnam.

    Of course, during the learning process, you will constantly be solving quizzes, simulated mock tests that are similar to Google Cloud's actual exam questions. In addition, Cloud Ace also provides Dump questions that are constantly updated with question types, exam questions from Google Cloud to help you have the best preparation for the exam.

    Of course. You will be supported by Cloud Ace during the learning process and even at the end of the course. You can interact with the Trainer via Slack, email hoặc qua Group Google Cloud Plartform User HCM để được các Trainer hỗ trợ nhé.

    After completing the course, if you have any questions about the knowledge or have difficulties in implementing the project on Google Cloud, you can contact the Trainer for answers.

    The Google Cloud course is not only suitable for software engineers or system development engineers, but also suitable for data processing engineers such as Data Analytics, Data Engineer, Data Scientist.

    In addition, if you are a Marketer or working in the field of finance, banking, e-commerce, logistics .... constantly faced with big data to solve, then you can refer to the courses Big Data Machine Learning Fundamental or From Data to Insight on Google Cloud Platform courses to refer to simple data processing and create professional reports on Google Cloud.