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Developing Applications with Google Cloud Platform Course Overview

Developing Applications with Google Cloud Platform Course Overview

The "Developing Applications with Google Cloud Platform" course is designed to equip learners with best practices and advanced techniques for building secure, scalable, and reliable applications in the cloud. Through comprehensive modules, participants will delve into code and environment management, understand continuous integration and delivery, and explore various Google Cloud technologies including Google Cloud Client Libraries, Google Cloud SDK, and Firebase SDK.

Learners will gain insights into data storage options, such as Google Cloud Storage, Cloud Datastore, Cloud Bigtable, Cloud SQL, and Cloud Spanner, and learn how to manage data effectively. They will also tackle authentication, authorization, and use Google Cloud Pub/Sub for application integration.

The course is enriched with hands-on labs, offering practical experience in deploying applications using Google Cloud Build and Container Registry, managing APIs with Cloud Endpoints, and employing event-driven processing with Cloud Functions. Furthermore, it delves into execution environments, debugging, monitoring, and performance tuning using Google Stackdriver, ensuring that participants have a holistic understanding of developing on the Google Cloud Platform. This course is an invaluable resource for developers seeking to leverage cloud technologies to innovate and scale their applications efficiently.

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Target Audience for Developing Applications with Google Cloud Platform

The "Developing Applications with Google Cloud Platform" course is designed for IT professionals looking to master cloud-based application development.


Target audience for the course includes:


  • Cloud Software Engineers
  • Application Developers
  • Cloud Solutions Architects
  • DevOps Engineers
  • IT Professionals with a focus on Google Cloud Platform services
  • Systems Operations Professionals looking to leverage Google Cloud for application deployment
  • Software Development Managers overseeing cloud-based projects
  • Technical Program Managers involved in cloud application projects
  • Cloud Consultants and Advisors
  • Data Engineers and Scientists requiring knowledge on cloud storage and processing
  • Full-stack Developers transitioning to cloud platforms
  • Backend Developers working with microservices architecture
  • Technical Leads and Decision-Makers evaluating cloud solutions for organizational needs
  • Computer Science Students or Graduates with a focus on cloud computing


Learning Objectives - What you will Learn in this Developing Applications with Google Cloud Platform?

Introduction to the Course's Learning Outcomes and Concepts

In the Developing Applications with Google Cloud Platform course, students will learn to build secure, scalable cloud-native applications using Google Cloud technologies and best practices.

Learning Objectives and Outcomes

  • Understand the principles of code and environment management for cloud-based applications.
  • Learn to design and develop secure, scalable, and reliable microservices and loosely coupled application components.
  • Gain knowledge in implementing continuous integration and delivery pipelines for cloud applications.
  • Acquire skills to re-architect legacy applications for optimal cloud performance and scalability.
  • Master the setup and usage of Google Cloud Client Libraries, Google Cloud SDK, and Firebase SDK.
  • Explore various Google Cloud data storage options and identify appropriate use cases for each.
  • Apply best practices for Cloud Datastore operations, including queries, indexes, transactions, and error handling.
  • Perform operations on Cloud Storage buckets and objects, understanding the consistency model and performance considerations.
  • Handle authentication and authorization effectively using Cloud Identity and Access Management (IAM) and Firebase Authentication.
  • Integrate application components using Google Cloud Pub/Sub and add intelligence to applications with pre-trained machine learning APIs.
  • Develop and deploy event-driven processing using Cloud Functions, including triggers and background functions.
  • Manage APIs efficiently with Google Cloud Endpoints and deploy applications using Google Cloud Build and Deployment Manager.
  • Choose the right execution environment for applications, evaluating options like Google Compute Engine, Kubernetes Engine, and App Engine.
  • Debug, monitor, and tune application performance using Google Stackdriver tools, including Debugger, Error Reporting, Logging, Trace, and Monitoring.

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