01
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).
02
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.
03
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.
04
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.
05
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.
06
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.
07
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.
08
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.
09
Summary and Review
Summary and Review.
Trần Tuấn Anh
IT
Nguyễn Ngọc Minh Thy
Data Engineer
Trương Quốc Thắng
Data Engineer
Phạm Văn Hùng
IT
Dương Minh Phương
Engineer
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.
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