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Acerca del curso
Con el curso Developing Applications with Google Cloud aprenderás a diseñar, desarrollar e implementar aplicaciones que integren a la perfección componentes del ecosistema de Google Cloud. Este curso utiliza conferencias, demostraciones y laboratorios prácticos para mostrarte cómo usar los servicios de Google Cloud y las APIs de aprendizaje automático (machine learning) pre-entrenadas para crear aplicaciones nativas de la nube seguras, escalables e inteligentes.
Desarrolladores de aplicaciones que deseen crear aplicaciones nativas de la nube o rediseñar aplicaciones existentes que sean ejecutadas en Google Cloud.
- Utilizar las mejores prácticas para el desarrollo de aplicaciones.
- Seleccionar la opción de almacenamiento de datos adecuada para los datos de la aplicación.
- Implementar la gestión de identidades federadas.
- Desarrollar microservicios o componentes de aplicación poco acoplados.
- Integrar componentes de aplicaciones y fuentes de datos.
- Depurar, rastrear y monitorear aplicaciones.
- Realizar implementaciones repetibles con contenedores y servicios de implementación.
- Seleccionar el entorno de tiempo de ejecución de la aplicación adecuado.
- Haber completado el curso Google Cloud Fundamentals: Core Infrastructure o tener experiencia equivalente.
- Conocimiento práctico de Node.js, Python o Java.
- Competencia básica con herramientas de línea de comandos y entornos de sistema operativo Linux.
Módulo 1: Best Practices for Application Development
Temas:
- Code and environment management
- Design and development of secure, scalable, reliable, loosely coupled application components and microservices
- Continuous integration and delivery
- Re-architecting applications for the cloud
Objetivos:
- Design and develop secure, scalable, reliable, loosely coupled application components and microservices.
- Understand how to rearchitect applications for the cloud.
Módulo 2: Getting Started with Google Cloud Development
Temas:
- Overview of Google Cloud services for apps and scripts:
- Google Cloud APIs
- Cloud SDK
- Cloud Client Libraries
- Cloud Shell
- Cloud Code
- Demo: Google APIs Explorer
- Lab: Setting up a Development Environment
Objetivos:
Identify different Google Cloud services for hosting applications and scripts.
Módulo 3: Overview of Data Storage Options
Temas:
- Overview of options to store application data
- Use cases for Cloud Storage, Firestore, Cloud Bigtable, Cloud SQL, and Cloud Spanner
- Demo: Connecting Securely to a Cloud SQL Database
Objetivos:
Choose the appropriate data storage option for application data.
Módulo 4: Best Practices for Using Datastore
Temas:
- Best practices related to using Firestore in Datastore mode for:
- Queries
- Built-in and composite indexes
- Inserting and deleting data (batch operations)
- Transactions
- Error handling
- Demo: Explore Datastore
- Demo: Use Dataflow to Bulk-load Data into Datastore
- Lab: Storing Application Data in Datastore
Objetivos:
- Bulk-load data into Firestore by using Dataflow.
- Understand best practices related to queries, built in and composite indexes, inserting and deleting data (batch operations), and transactions error handling.
Módulo 5: Performing Operations on Buckets and Objects
Temas:
- Cloud Storage concepts
- Consistency model
- Demo: Explore Cloud Storage
- Request endpoints
- Composite objects and parallel uploads
- Truncated exponential backoff
- Demo: Enable CORS Configuration in Cloud Storage
Objetivos:
- Understand Cloud Storage concepts.
- Differentiate between strongly consistent and eventually consistent operations.
- Access Cloud Storage through request endpoints.
- Use object composition to upload an object in parallel.
- Use truncated exponential backoff to deal with network failures.
Módulo 6: Best Practices for Using Cloud Storage
Temas:
- Naming buckets for static websites and other uses
- Naming objects (from an access distribution perspective)
- Performance considerations
- Lab: Storing Image and Video Files in Cloud Storage
Objetivos:
Understand how to name buckets for static websites and other uses, how to name objects (from an access distribution perspective, and performance considerations.
Módulo 7: Handling Authentication and Authorization
Temas:
- Identity and Access Management (IAM) roles and service accounts
- User authentication by using Firebase Authentication
- User authentication and authorization by using Identity-Aware Proxy
- Lab: Adding User Authentication to your Application
Objetivos:
Implement federated identity management.
Módulo 8: Using Pub/Sub to Integrate Components of Your Application
Temas:
- Topics, publishers, and subscribers
- Pull and push subscriptions
- Use cases for Pub/Sub
- Lab: Developing a Backend Service
Objetivos:
- Understand Pub/Sub topics, publishers, and subscribers.
- Understand pull and push subscriptions.
- Explore use cases for Pub/Sub.
Módulo 9: Adding Intelligence to Your Application
Temas:
Overview of pre-trained machine learning APIs such as the Vision API and the Cloud Natural Language Processing API.
Objetivos:
Explore pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language API.
Módulo 10: Using Cloud Functions for Event-Driven Processing
Temas:
- Key concepts such as triggers, background functions, HTTP functions
- Use cases
- Developing and deploying functions
- Logging, error reporting, and monitoring
- Demo: Invoke Cloud Functions Through Direct Request-response
- Lab: Processing Pub/Sub Data using Cloud Functions
Objetivos:
Use Cloud Functions for event-driven processing.
Módulo 11: Managing APIs with Cloud Endpoints
Temas:
- Open API deployment configuration
- Lab: Deploying an API for the Quiz Application
Objetivos:
Understand OpenAPI deployment configuration.
Módulo 12: Deploying Applications
Temas:
- Creating and storing container images
- Repeatable deployments with deployment configuration and templates
- Demo: Exploring Cloud Build and Cloud Container Registry
- Lab: Deploying the Application into Kubernetes Engine
Objetivos:
- Understand how to create and store container images.
- Create repeatable deployments with deployment configuration and templates.
Módulo 13: Compute Options for Your Application
Temas:
- Considerations for choosing a compute option for your application or service:
- Compute Engine
- Google Kubernetes Engine (GKE)
- Cloud Run
- Cloud Functions
- Platform comparisons.
- Comparing App Engine and Cloud Run
Objetivos:
Explore considerations for choosing a compute option for your application or service.
Módulo 14: Debugging, Monitoring, and Tuning Performance
Temas:
- Google Cloud’s operations suite
- Managing performance
- Lab: Debugging Application Errors
- Logging
- Monitoring and tuning performance
- Identifying and troubleshooting performance issues
- Lab: Harnessing Cloud Trace and Cloud Monitoring
Objetivos:
- Debug an application error by using Cloud Debugger and Error Reporting.
- Use Cloud Monitoring and Cloud Trace to trace a request across services, observe, and optimize performance.
Documentación oficial para el curso Developing Applications with Google Cloud.
- Formador certificado por Google Cloud.
- Más de 5 años de experiencia profesional.
- Más de 4 años de experiencia docente.
- Profesional activo en empresas del sector IT.
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