Developing Applications with Google Cloud

Course Certification

This course helps you prepare to take the:
Google Cloud Certified Professional Cloud Developer Exam ;

Course Outline

Module 1: 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.

Module 2: 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, Cloud SDK, and Firebase SDK on a Linux instance and set up application credentials.

Module 3: Overview of Data Storage Options

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

Module 4: Best Practices for Using Cloud Firestore

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

Module 5: Performing Operations on Cloud Storage

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

Module 6: Best Practices for Using 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.

Module 7: 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.

Module 8: Using 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.

Module 9: Adding Intelligence to Your Application

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

Module 10: Using 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.

Module 11: Managing APIs with Cloud Endpoints

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

Module 12: Deploying Applications

• 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.

Module 13: Execution Environments for Your Application

• Considerations for choosing an execution environment for your application or service:Google Compute Engine (GCE),Google Kubernetes Engine (GKE), App Engine flexible environment, Cloud Functions, Cloud Dataflow, Cloud Run.
• Lab: Deploying your application on App Engine flexible environment.

Module 14: Debugging, Monitoring, and Tuning Performance

• Application Performance Management Tools.
• 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

Course Mode

Instructor-Led Remote Live Classroom Training;

Trainers

Trainers are GCP Official Instructors and certified in other IT technologies, with years of hands-on experience in the industry and in Training.

Lab Topology

For all types of delivery, the Trainee can access real Cisco equipment and systems in our laboratories or directly at the Cisco data centers remotely 24 hours a day. Each participant has access to implement the various configurations thus having a practical and immediate feedback of the theoretical concepts.
Here are some Labs topologies available: