Become a Professional Cloud Developer on GCP. Design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. This 3-day training is part of Google’s Cloud Developer track that leads to the Professional Cloud Developer certificate.

Google Cloud Binx

What You'll Learn

Best Practices for Application Development

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

Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK

How to set up and use Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK
Lab: Set up Google Client Libraries, Google Cloud SDK, and Firebase SDK on a Linux instance and set up application credentials

Overview of Data Storage Options

Overview of options to store application data
Use cases for Google Cloud Storage, Google Cloud Datastore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner

Best Practices for Using Google Cloud Datastore

Best practices related to the following: Queries Built-in and composite indexes Inserting and deleting data (batch operations) Transactions Error handling
Queries
Built-in and composite indexes
Inserting and deleting data (batch operations)
Transactions
Error handling
Bulk-loading data into Cloud Datastore by using Google Cloud Dataflow
Lab: Store application data in Cloud Datastore

Performing Operations on Buckets and Objects

Operations that can be performed on buckets and objects
Consistency model
Error handling

Best Practices for Using Google Cloud Storage

Naming buckets for static websites and other uses
Naming objects (from an access distribution perspective)
Performance considerations
Setting up and debugging a CORS configuration on a bucket
Lab: Store files in Cloud Storage

Handling Authentication and Authorization

Cloud Identity and Access Management (IAM) roles and service accounts
User authentication by using Firebase Authentication
User authentication and authorization by using Cloud Identity-Aware Proxy
Lab: Authenticate users by using Firebase Authentication

Using Google Cloud Pub/Sub to Integrate Components of Your Application

Topics, publishers, and subscribers
Pull and push subscriptions
Use cases for Cloud Pub/Sub
Lab: Develop a backend service to process messages in a message queue

Adding Intelligence to Your Application

Overview of pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language Processing API

Using Google Cloud Functions for Event-Driven Processing

Key concepts such as triggers, background functions, HTTP functions
Use cases
Developing and deploying functions
Logging, error reporting, and monitoring

Managing APIs with Google Cloud Endpoints

Open API deployment configuration
Lab: Deploy an API for your application

Deploying an Application: Google Cloud Build, Google Cloud Container Registry, and Google Cloud Deployment Manager

Creating and storing container images
Repeatable deployments with deployment configuration and templates
Lab: Use Deployment Manager to deploy a web application into Google App Engine flexible environment test and production environments

Execution Environments for Your Application

Considerations for choosing an execution environment for your application or service: Google Compute Engine Kubernetes Engine App Engine flexible environment Cloud Functions Cloud Dataflow
Google Compute Engine
Kubernetes Engine
App Engine flexible environment
Cloud Functions
Cloud Dataflow
Lab: Deploying your application on App Engine flexible environment

Debugging, Monitoring, and Tuning Performance by Using Google Stackdriver

Stackdriver Debugger
Stackdriver Error Reporting
Lab: Debugging an application error by using Stackdriver Debugger and Error Reporting
Stackdriver Logging
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

Become a Professional Cloud Developer

Are you an Application Developer who wants to learn how to use GCP services to build cloud-native applications? Time to gain the knowledge and skills to prepare for your Google Cloud Developer certificate. This 3-day training teaches you how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem.

Developing Applications with GCP Is Perfect for

Application Developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform. Before enrolling, you need to complete the Google Cloud Fundamentals: Core Infrastructure course, or have equivalent experience, working knowledge of Node.js and basic profiency with command-line tools and Linux operating system environments.

Instructor: Martijn van de Grift

Martijn vd Grift - Binx.io

Martijn is a Cloud consultant at Binx.io, where he specializes in creating solutions using GCP and AWS. He holds the most relevant technical certifications for both clouds. He has a great passion for IT and likes to work with the latest technologies. He loves to share this passion during training, and webinars, where he brings experience from assignments at companies including Booking.com, Weeronline, and ZorgDomein.