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Developing Applications with Google Cloud Platform

Developing Applications with Google Cloud Platform

Category: Cloud Platform

Description

This Developing Applications with Google Cloud Platform course is designed to provide students with learning how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. Students will learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native
 

Audience

  • Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform/li>

Duration

3 days

Requirements

  • Completed Google Cloud Platform Fundamentals or have equivalent experience
  • Working knowledge of Node.js
  • Basic proficiency with command-line tools and Linux operating system environments

Curriculum

Best Practices for Application Developmentul>
  • Code and environment management /li>
  • Design and development of secure, scalable, reliable, loosely coupled application components and microservices /li>
  • Continuous integration and delivery /li>
  • Re-architecting applications for the cloud /li>Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDKul>
  • How to set up and use Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK /li>
  • Lab: Set up Google Client Libraries, Google Cloud SDK, and Firebase SDK on a Linux instance and set up application credentials /li>Overview of Data Storage Optionsul>
  • Overview of options to store application data /li>
  • Use cases for Google Cloud Storage, Google Cloud Datastore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner /li>Best Practices for Using Google Cloud Datastoreul>
  • Best practices related to the following: ul>
  • Queries/li>
  • Built-in and composite indexes/li>
  • Inserting and deleting data (batch operations)/li>
  • Transactions/li>
  • Error handling/li>
  • Bulk-loading data into Cloud Datastore by using Google Cloud Dataflow /li>
  • Lab: Store application data in Cloud Datastore /li>Performing Operations on Buckets and Objectsul>
  • Operations that can be performed on buckets and objects /li>
  • Consistency model /li>
  • Error handling /li>Best Practices for Using Google Cloud Storageul>
  • Naming buckets for static websites and other uses /li>
  • Naming objects (from an access distribution perspective) /li>
  • Performance considerations /li>
  • Setting up and debugging a CORS configuration on a bucket /li>
  • Lab: Store files in Cloud Storage /li>Handling Authentication and Authorizationul>
  • Cloud Identity and Access Management (IAM) roles and service accounts /li>
  • User authentication by using Firebase Authentication /li>
  • User authentication and authorization by using Cloud Identity-Aware Proxy /li>
  • Lab: Authenticate users by using Firebase Authentication/li>Using Google Cloud Pub/Sub to Integrate Components of Your Applicationul>
  • Topics, publishers, and subscribers /li>
  • Pull and push subscriptions /li>
  • Use cases for Cloud Pub/Sub /li>
  • Lab: Develop a backend service to process messages in a message queue /li>Adding Intelligence to Your Applicationul>
  • Overview of pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language Processing API/li>Using Google Cloud Functions for Event-Driven Processingul>
  • Key concepts such as triggers, background functions, HTTP functions /li>
  • Use cases /li>
  • Developing and deploying functions /li>
  • Logging, error reporting, and monitoring /li>Managing APIs with Google Cloud Endpointsul>
  • Open API deployment configuration /li>
  • Lab: Deploy an API for your application /li>Deploying an Application by Using Google Cloud Container Builder, Google Cloud Container Registry, and Google Cloud Deployment Managerul>
  • Creating and storing container images /li>
  • Repeatable deployments with deployment configuration and templates /li>
  • Lab: Use Deployment Manager to deploy a web application into Google App Engine flexible environment test and production environments /li>Execution Environments for Your Applicationul>
  • Considerations for choosing an execution environment for your application or service: ul>
  • Google Compute Engine/li>
  • Kubernetes Engine/li>
  • App Engine flexible environment/li>
  • Cloud Functions/li>
  • Cloud Dataflow/li>
  • Lab: Deploying your application on App Engine flexible environment /li>Debugging, Monitoring, and Tuning Performance by Using Google Stackdriverul>
  • Stackdriver Debugger /li>
  • Stackdriver Error Reporting /li>
  • Lab: Debugging an application error by using Stackdriver Debugger and Error Reporting /li>
  • Stackdriver Logging /li>
  • Key concepts related to Stackdriver Trace and Stackdriver Monitoring. Lab: Use Stackdriver Monitoring and Stackdriver Trace to trace a request across services, observe, and optimize performance /li>
  • Classes

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    Our Delivery

    on site delivery

    Online or On-site de

    We created a personalized delivery strategy by offering blended learning

    communities of practice

    Communities of practice

    Find a bunch of people who are on the same page with you.

    engaging

    Engaging

    Engaging platform with gamification for collaboration and friendly competition.

    interactive

    Interactive

    Interactive online trainings and live webinars available.

    efficient

    Efficient

    A special learning environment can boost learning efficiency.

    accesible

    Accessible

    Available anywhere and anytime, on your phone, computer or tablet.

    Q&A

    • Can you customize courses to suit our particular requirements? Yes, of course. We offer training consultancy and we establish the most appropriate solution according to the specific needs and business objectives of your company. Contact us and we’ll find the best training solution for you.
    • Can individuals use your services or they are organized for companies?Yes, we organise open courses which can be accessed by individuals. Whether you are looking for an IT or a Business training, you can find it at Brain Concert. Moreover, you’ll meet people from the same area of work as you and we can create communities of practice, where you can share professional tips and tricks and best practices.
    • What types of trainings are available for my company? We offer a variety of courses: in the IT area, there are Agile & Lean Courses, Software Development Courses, QA Courses, Software Administration Courses and Security Courses. We also offer Business Courses, focused on the development of soft skills. Define your objectives and choose the most appropriate training for you or your company.
    • What should I know before choosing a training? You should know that we offer courses for everyone, but you have to choose according to some criteria. First, define your objectives, then, the level of the participants (basic, advanced). There are courses with some requirements attached because the participants of a training session must form a compact group in terms of their previous knowledge so that they and the trainers are on the same page.
    • What is the minimum number of participants if we want in-house training? The minimum number of participants for an in-house depends on the course type. Please contact us to establish these details.
    • Can you organize virtual training sessions or only face to face trainings? Yes, you can choose an online or offline training session. We use Knolyx, an e-learning platform to make the process of online training delivery as efficient as a face to face training session.