Ciudad Juárez - Bulevar Tomás Fernández

Avenida, Bulevar Tomás Fernández 7760 – F, Ciudad Juárez, mexico, 32440
It is located very close to main avenues as well as executive and commercial corridors, with options very close to El Paso Te...

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Building Microservices with Apigee Edge

 21 Hours
Apigee Edge, which is built on Java, enables you to provide secure access to your services with a well-defined API that is consistent across all of your services, regardless of service implementation. A consistent API:
  • Makes it easy for app developers to consume your services.
  • Enables you to change the backend service implementation without affecting the public API.
  • Enables you to take advantage of the analytics, monetization, developer portal, and other features built into Edge.
Audience This course is directed at engineers, architects and developers seeking to utilize Apigee Edge in their projects.
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Developing Microservices on Google Cloud Apigee

 21 Hours
This instructor-led, live training in Ciudad Juárez (online or onsite) is aimed at developers who wish to learn how to build, test, debug and deploy an API on top of Google Cloud's Apigee API Platform. By the end of this training, participants will be able to:
  • Set up a development environment that includes all needed resources to start developing an API.
  • Understand and implement the tools available within Apigee Edge.
  • Build and deploy an API to Google Cloud.
  • Monitor and debug API errors.
  • Leverage Google Cloud's analytics and machine learning solutions to make APIs more intelligent.
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Managing APIs with Apigee

 14 Hours
This instructor-led, live training in Ciudad Juárez (online or onsite) is aimed at developers who wish to learn how to build, test, debug and deploy an API on top of Google Cloud's Apigee API Platform. By the end of this training, participants will be able to:
  • Set up a development environment that includes all needed resources to start developing an API.
  • Understand and implement the tools available within Apigee Edge.
  • Build and deploy an API to Google Cloud.
  • Monitor and debug API errors.
  • Leverage Google Cloud's analytics and machine learning solutions to make APIs more intelligent.
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