Baseline: Deploy & Develop

Course Overview

What does this course tell?
(Please note that the following overview content is from the original platform)

In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.What can you get from this course?
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
By taking this course, participants will acquire the knowledge and skills to confidently deploy and develop applications on the Google Cloud Platform. This includes creating web applications, mobile applications, and machine learning models, as well as developing and deploying applications for data analysis, data storage, and data visualization. Additionally, participants will gain an understanding of the Google App Engine framework and be able to write code in languages such as Python, Ruby, and Java. They will also be able to integrate GCP services such as databases, data-loss prevention, and security services into their applications. Furthermore, participants will gain an understanding of cloud-native development, cloud-native security, and cloud-native operations.

How does this course contribute to professional growth?
This course contributes to professional growth by providing participants with the knowledge and skills to confidently deploy and develop applications on the Google Cloud Platform. Participants can use the skills acquired to develop and deploy applications for data analysis, data storage, and data visualization. Additionally, participants can use the skills acquired to develop and deploy applications for cloud-native development, cloud-native security, and cloud-native operations. Furthermore, the course provides suggested development paths and education paths for learners to pursue further development and education in Google Cloud Platform, such as learning more about GCP database, data-loss prevention, and security services, as well as taking courses in application development, database, data-loss prevention, and security services. With the increasing demand for cloud-based applications, these paths are becoming increasingly popular and are great ways to gain the skills needed to develop and deploy applications on the Google Cloud Platform.

Is this course suitable for preparing further education?
This course is suitable for preparing further education, as it provides an introduction to developing and deploying applications on the Google Cloud Platform. Learners will gain hands-on experience with the Google App Engine framework and learn how to launch applications written in languages like Python, Ruby, and Java. Additionally, the course provides knowledge and skills to confidently deploy and develop applications on the Google Cloud Platform. Suggested applications of this course include creating web applications, mobile applications, and machine learning models. Learners may choose to pursue further development paths in Google Cloud Platform, such as learning more about GCP database, data-loss prevention, and security services. They may also choose to pursue more advanced courses in application development, such as learning more about deploying applications on other cloud platforms. Possible career paths include Cloud Developer, Cloud Architect, Cloud Security Engineer, and Cloud DevOps Engineer. Possible education paths include Bachelor of Science in Computer Science, Bachelor of Science in Information Technology, Master of Science in Cloud Computing, and Master of Science in Data Science.