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This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.

Duration: 8h

Học phí: 4,700,000 VND 

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

  • Identify the purpose and value of Google Cloud products and services. Interact with Google Cloud services.
  • Describe ways in which customers have used Google Cloud.
  • Choose among and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine.
  • Choose among and use Google Cloud storage options: Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore. Bigtable và Firestore
  • Make basic use of BigQuery, Google’s managed data warehouse for analytics.
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  • Individuals planning to deploy applications and create application environments on Google Cloud.
  • Developers, systems operations professionals, and solution architects getting started with Google Cloud.
  • Executives and business decision makers evaluating the potential of Google Cloud to address their business needs.
  • Familiarity with application development, systems operations
  • Kiến thức nền tảng về câu lệnh Linux và Window
  • Data Analytics/ kỹ sư Machine learning muốn hiểu biết về các dịch vụ của Google Cloud đang cung cấp
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Introducing Google Cloud

Explain the advantages of Google Cloud.
Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones.
Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS).


Getting Started with Google Cloud

Identify the purpose of projects on Google Cloud.
Understand the purpose of and use cases for Identity and Access Management.
List the methods of interacting with Google Cloud.
Lab: Getting Started with Cloud Marketplace.


Virtual Machines in the Cloud

Identify the purpose of and use cases for Google Compute Engine.
Understand the basics of networking in Google Cloud.
Lab: Getting Started with Google Compute Engine.


Storage in the Cloud

Understand the purpose of and use cases for: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore.
Learn how to choose between the various storage options on Google Cloud.
Lab: Getting Started with Cloud Storage and Cloud SQL.


Containers in the Cloud

Define the concept of a container and identify uses for containers.
Identify the purpose of and use cases for Google Kubernetes Engine and Kubernetes.
Introduction to Hybrid and Multi-Cloud computing (Anthos).
Lab: Getting Started with Kubernetes Engine.


Applications in the Cloud

Understand the purpose of and use cases for App Engine.
Contrast the App Engine standard environment with the App Engine flexible environment.
Understand the purpose of and use cases for Cloud Endpoints.
Lab: Getting Started with App Engine.


Developing, Deploying and Monitoring in the Cloud

Understand the purpose of template-based creation and management of resources
Understand the purpose of integrated monitoring, alerting, and debugging.
Lab: Getting Started with Deployment Manager and Cloud Monitoring.


Big Data and Machine Learning in the Cloud

Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms.
Lab: Getting Started with BigQuery.


Summary and Review

Summary and Review.
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.