GCP200DEV
Developing Applications with Google Cloud
In this 3-day instructor-led course, you learn the fundamentals of application development on Google Cloud. You learn best practices for designing cloud applications, and how to choose compute and data options for your apps. You learn about authentication and authorization, generative AI for developers, and continuous integration and delivery for your apps running in Google Cloud. You learn about event-based applications and the use of service orchestration and choreography to coordinate microservices. You learn about Cloud Functions, which allows you to implement single-purpose functions that respond to HTTP requests and process events within your cloud infrastructure.
What you will learn
- Discuss best practices for application development in the cloud.
- Understand how to choose the appropriate data storage option for application use cases.
- Use authentication and authorization to secure an application.
- Describe use cases for the different Google Cloud compute options used for running applications.
- Describe the benefits and challenges of microservice-based architectures.
- Describe the advantages of event-driven applications.
- Identify the strengths of orchestration and choreography.
- Use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to coordinate a microservices application on Google Cloud.
- Recognize the benefits of and use cases for Cloud Functions in modern application development.
- Understand how to build, test, and deploy Cloud Functions.
- Secure and connect Cloud Functions to resources and cloud databases.
- Use best practices with Cloud Functions.
Prerequisites
- Programming experience is recommended.
- Basic proficiency with command-line tools and Linux operating system environments is helpful.
Target audience
- Application developers, architects, cloud engineers
Training Program
16 modules to master the fundamentals
Objectives
- Discuss best practices for application development in the cloud.
- Describe patterns for improving stability and reliability of cloud applications.
Topics covered
- →This module introduces best practices for developing applications that run in the cloud.
Activities
1 quiz
Objectives
- Discuss how the Google Cloud SDK lets you interact with Google Cloud services.
- Describe how Cloud Client Libraries can be used in your applications.
- Discuss how Cloud Code helps developers create cloud applications on Google Cloud.
Topics covered
- →This module introduces the various Google Cloud tools you will use to develop your applications.
Activities
1 quiz
Objectives
- Understand how to choose the appropriate data storage option for application use cases.
- Use Firestore to store document-based application data.
- Use Cloud Storage to store unstructured data.
Topics covered
- →This module compares the data storage and database services provided by Google Cloud.
Activities
1 lab, 1 quiz
Objectives
- Discuss how Identity-Aware Proxy authenticates application users.
- Describe the use of federated identity for applications in Google Cloud.
- Describe how to authenticate your application to Google Cloud APIs based on how your application is deployed.
- Use authentication and authorization to secure an application.
Topics covered
- →This module explains how authentication and authorization are added to your cloud applications.
Activities
1 quiz
Objectives
- Describe how pretrained machine learning APIs can be called from applications.
- Differentiate the use cases for Google Cloud's pretrained machine learning APIs.
- Use a Google Cloud pretrained machine-learning API in an application.
Topics covered
- →This module discusses how pretrained machine learning APIs and generative Al can improve your cloud applications.
Activities
1 lab, 1 quiz
Objectives
- Discuss the features of a continuous integration and delivery pipeline.
- Describe how to build and store application container images.
- Create a container image by using Cloud Build.
Topics covered
- →This module discusses how to build and deploy applications on Google Cloud.
Activities
1 quiz
Objectives
- Describe use cases for the different compute options used for running applications on Google Cloud.
- Differentiate the benefits of different compute options on Google Cloud.
Topics covered
- →This module discusses the compute options available for running your applications in Google Cloud.
Activities
1 quiz
Objectives
- Recognize the four golden signals.
- Describe benefits of the services in Google Cloud's operations suite.
Topics covered
- →This module discusses the application use cases of the services in Google Cloud's operations suite.
Activities
1 lab, 1 quiz
Objectives
- Describe the differences between monolithic applications, service-oriented architecture (SOA), and microservices.
- Describe the benefits and challenges of microservice-based architectures.
Topics covered
- →This module introduces you to microservices and discusses the benefits and challenges of using a microservices architecture for your applications.
Activities
1 quiz
Objectives
- List the characteristics of an event.
- Describe the advantages of event-driven applications.
Topics covered
- →This module introduces events and event-driven applications and discusses the benefits of choosing an event-driven architecture for your microservices applications.
Activities
1 quiz
Objectives
- Understand how Pub/Sub and Eventarc can be used to connect services by using the choreography pattern.
- Explain the benefits of using CloudEvents for event metadata.
- Understand how Workflows can be used to orchestrate services.
- Differentiate the use cases for choreography and orchestration.
- Use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to coordinate a microservices application on Google Cloud.
Topics covered
- →This module introduces two effective patterns for inter-service communication: choreography and orchestration. Eventarc uses the choreography pattern, which allows independent services to perform tasks when events are received. Workflows uses orchestration, and acts as a central orchestrator of the interactions between the services. You learn how Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler can be used to build powerful microservices applications on Google Cloud.
Activities
1 lab, 1 quiz
Objectives
- Define Cloud Functions.
- Identify the use cases, features, and benefits of Cloud Functions.
- Distinguish the types of Cloud Functions, and identify the supported languages for developing functions.
- Develop and deploy a Cloud Function using the Google Cloud console and gcloud CLI.
Topics covered
- →An introduction to Cloud Functions
- →Benefits and use cases
- →Types of Cloud Functions and language runtimes
Activities
1 lab, 1 quiz
Objectives
- Understand the different kinds of triggers available, and learn how to specify triggers for functions.
- Connect services and functions with workflows.
- Connect functions to resources in a VPC network.
Topics covered
- →Cloud Functions triggers
- →Connecting Cloud Functions
Activities
1 lab, 1 quiz
Objectives
- Secure Cloud Functions with identity and network-based access controls.
- Understand function identity.
- Understand how to authenticate and authorize access to functions for invocation and administration.
- Protect functions and related data with encryption keys.
Topics covered
- →Accessing and authenticating to functions
- →Protecting functions and data
Activities
1 quiz
Objectives
- Integrate Cloud Functions with cloud databases such as Firestore, and Memorystore.
- Use secrets with Cloud Functions.
- Use environment variables with Cloud Functions.
Topics covered
- →Integrate Cloud Functions with cloud databases
- →Use secrets with Cloud Functions
Activities
1 lab, 1 quiz
Objectives
- Use best practices when developing and implementing Cloud Functions.
- Understand how to retry event-driven Cloud Functions on failure.
Topics covered
- →Cloud Functions best practices
Activities
1 quiz
Quality Process
SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach
Teaching Methods Used
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
- Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
- Guided Labs — Guided practical exercises on software, hardware, or technical environments.
- Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
Evaluation and Monitoring System
The achievement of training objectives is evaluated at multiple levels to ensure quality:
- Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
- Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
- Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.
Train multiple employees
- Volume discounts (multiple seats)
- Private or custom session
- On-site or remote