Course Overview of Developing Applications with Google Cloud

This course introduces learners to modern application development practices on Google Cloud. Participants will explore cloud-native application design, authentication and authorization, compute and storage options, CI/CD, microservices, event-driven architectures, orchestration, choreography, and Cloud Functions development. Through instructor-led sessions, labs, and classroom activities, learners will build scalable and secure cloud applications using Google Cloud services. 

After completing Developing Applications with Google Cloud , participants will be able to:

  • Apply best practices for cloud-native application development.
  • Select appropriate compute and storage services for application use cases.
  • Secure applications using authentication and authorization mechanisms.
  • Understand microservices and event-driven architectures.
  • Coordinate services using orchestration and choreography patterns.
  • Build, test, deploy, and secure Cloud Functions.
  • Integrate Cloud Functions with cloud databases and services.
  • Use CI/CD practices and monitoring tools for cloud applications.

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Key Features of Developing Applications with Google Cloud

  • Cloud-Native Application Development

  • Data Storage and Database Services

  • Authentication and Security

  • CI/CD and Application Deployment

  • Microservices and Event-Driven Architectures

  • Cloud Functions Development

  • Monitoring and Performance Optimization 

  • Generative AI and Intelligent Applications

Who should Attend Developing Applications with Google Cloud

  • Application Developers
  • Cloud Engineers
  • Software Architects
  • DevOps Engineers
  • Cloud-Native Application Teams

Pre-requisites of Developing Applications with Google Cloud

Prior knowledge gained through the following courses will be beneficial: 

Why choose CloudThat as your training partner for Developing Applications with Google Cloud

  •  Specialized GCP AI and AgentOps Expertise : CloudThat specializes in cloud, Generative AI, and agentic application technologies and delivers focused Google Cloud training programs with enterprise operational use cases.
  • Industry-Recognized Trainers : Our trainers are certified Google Cloud professionals with expertise in Vertex AI, AI agents, DevOps, MLOps, observability, and AI governance workflows. 
  • Hands-On Learning Approach: CloudThat emphasizes practical learning through guided labs, CI/CD exercises, debugging workflows, evaluation systems, and AI security implementation scenarios. 
  •  Customized Learning Paths : Training programs are designed for developers, DevOps engineers, ML engineers, and cloud professionals working with AI agent systems. 
  • Interactive Learning Experience : Sessions include demonstrations, collaborative operational workflows, troubleshooting activities, quizzes, and interactive discussions. 
  • Placement Assistance and Career Support : CloudThat supports learners with AI learning paths, interview preparation, operational best practices, and career guidance in Generative AI and AgentOps. 
  • Continuous Learning and Updates : Course content is continuously updated to align with the latest advancements in Vertex AI, AI operations, observability, security, and AI FinOps practices. 
  • Positive Reviews and Testimonials : Thousands of professionals and enterprises trust CloudThat for advanced cloud, AI, MLOps, and Google Cloud training programs. 

Course Outline of Developing Applications with Google Cloud Download Course Outline

Topics

  • Cloud Application Development Best Practices
  • Stability and Reliability Patterns

Learning Outcomes

  • Apply cloud-native development best practices.
  • Improve reliability and resilience of applications.

Activities

  • Best Practices Discussion
  • Reliability Design Workshop
  • Quiz

Topics

  • Google Cloud SDK
  • Cloud Client Libraries
  • Cloud Code

Learning Outcomes

  • Use Google Cloud development tools effectively.
  • Build applications using Cloud SDKs and libraries.

Activities

  • SDK Demonstration
  • Cloud Code Exercise
  • Quiz

Topics

  • Firestore
  • Cloud Storage
  • Database Selection Strategies

Learning Outcomes

  • Select appropriate storage services.
  • Store structured and unstructured application data.

Activities

  • Firestore Lab
  • Cloud Storage Exercise
  • Quiz

Topics

  • Identity-Aware Proxy
  • Federated Identity
  • API Authentication

Learning Outcomes

  • Secure cloud applications.
  • Implement authentication and authorization strategies.

Activities

  • Authentication Configuration Demo
  • Security Workshop
  • Quiz

Topics

  • Pretrained Machine Learning APIs
  • Generative AI Integration

Learning Outcomes

  • Use AI APIs within applications.
  • Enhance applications with intelligent capabilities.

Activities

  • AI API Integration Lab
  • Generative AI Demo
  • Quiz

Topics

  • CI/CD Pipelines
  • Cloud Build
  • Artifact Registry

Learning Outcomes

  • Build and deploy cloud applications.
  • Manage application container images.

Activities

  • Cloud Build Exercise
  • Deployment Workflow Demo
  • Quiz

Topics

  • Cloud Run
  • Cloud Functions
  • Google Kubernetes Engine
  • Compute Engine

Learning Outcomes

  • Compare compute services for application workloads.
  • Select appropriate runtime environments.

Activities

  • Compute Comparison Workshop
  • Deployment Scenario Exercise
  • Quiz

Topics

  • Google Cloud Operations Suite
  • Golden Signals
  • Monitoring and Observability

Learning Outcomes

  • Monitor application health and performance.
  • Analyze operational metrics effectively.

Activities

  • Monitoring Lab
  • Performance Tuning Exercise
  • Quiz

Topics

  • Monolithic Applications
  • SOA
  • Microservices Architecture

Learning Outcomes

  • Understand microservices concepts and trade-offs.
  • Design scalable distributed applications.

Activities

  • Architecture Comparison Exercise
  • Microservices Design Workshop
  • Quiz

Topics

  • Events and Event Characteristics
  • Event-Driven Architectures

Learning Outcomes

  • Build event-driven application designs.
  • Understand asynchronous communication patterns

Activities

  • Event Flow Exercise
  • Event-Driven Design Workshop
  • Quiz

Topics

  • Eventarc
  • Workflows
  • Cloud Tasks
  • Cloud Scheduler
  • Pub/Sub

Learning Outcomes

  • Coordinate microservices applications.
  • Differentiate choreography and orchestration patterns.

Activities

  • Workflow Coordination Lab
  • Eventarc Integration Exercise
  • Quiz

Topics

  • Cloud Functions Basics
  • Function Types and Runtimes
  • Deployment Methods

Learning Outcomes

  • Build and deploy Cloud Functions.
  • Understand serverless development concepts.

Activities

  • Cloud Functions Lab
  • Deployment Exercise
  • Quiz

Topics

  • Function Triggers
  • Workflow Integration
  • VPC Connectivity

Learning Outcomes

  • Configure function triggers.
  • Connect functions to services and networks.

Activities

  • Trigger Configuration Lab
  • Workflow Integration Exercise
  • Quiz

Topics

  • Function Authentication
  • Access Controls
  • Encryption and Data Protection

Learning Outcomes

  • Secure Cloud Functions deployments.
  • Protect functions and related resources.

Activities

  • Security Configuration Workshop
  • IAM Policy Exercise
  • Quiz

Topics

  • Firestore Integration
  • Memorystore Integration
  • Secret Management
  • Environment Variables

Learning Outcomes

  • Connect Cloud Functions to databases.
  • Securely manage secrets and configurations.

Activities

  • Database Integration Lab
  • Secret Manager Exercise
  • Quiz

Topics

  • Cloud Functions Best Practices
  • Retry Mechanisms
  • Reliability and Optimization

Learning Outcomes

  • Optimize Cloud Functions implementations.
  • Improve resilience and error handling.

Activities

  • Best Practices Workshop
  • Retry Handling Demo
  • Quiz

Certification Details of Developing Applications with Google Cloud

    CloudThat Course Completion Certificate will be awarded to all learners who complete the training.

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Course ID: 13597

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FAQs of Developing Applications with Google Cloud

This course is designed for developers, architects, and cloud engineers building cloud-native applications on Google Cloud.

Yes. The course includes multiple labs, classroom activities, deployment exercises, and demonstrations.

The course covers compute, storage, serverless, authentication, monitoring, orchestration, and AI services on Google Cloud.

Yes. A major focus of the course is Cloud Functions development and integration.

Yes. Learners will explore microservices, orchestration, choreography, Eventarc, and Pub/Sub.

3-day instructor-led training with lectures, hands-on labs, and classroom activities.

Programming experience is recommended, and familiarity with Linux command-line environments is helpful.

Yes. A CloudThat Course Completion Certificate will be awarded after successful completion of the training.

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