Professional Cloud Architect

PROFESSIONAL CLOUD ARCHITECT

Cloud Architects design, develop and manage robust and scalable cloud architecture solutions.

French / English

16 Days

Certificate

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Next session : August

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Overview

A Professional Cloud Architect enables companies to exploit technologies Google Cloud. Thanks to his perfect mastery of cloud architecture andGoogle Cloud Platform, this professional designs, develops and manages robust, secure, scalable, dynamic and high availability solutions to achieve business objectives.

The examination Google Cloud Certified – Professional Cloud Architect assesses the following skills:

– Design and architecture planning of a cloud solution
– Cloud solution infrastructure management and provisioning
– Design of secure and compliant solutions
– Analysis and optimization of technical and business processes
– Managing the implementation of a cloud architecture
– Reliability of the solution and operations

Prerequisites

Basic knowledge of application development, systems operations, Linux operating systems and data analysis / machine learning will be useful in understanding the technologies presented.

Basic proficiency with command-line tools and Linux operating system environments

Goals

Describe the ways in which customers use Google Cloud

Choose and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine and Compute Engine

Choose and use Google Cloud storage options: Cloud Storage, Cloud SQL, Cloud Bigtable and Firestore and Google Cloud Datastore

Connect your infrastructure to Google Cloud

Configure load balancers and autoscaling for VM instances

Automate the deployment of Google Cloud infrastructure services

Understand the architecture of Kubernetes

Create Kubernetes Engine clusters using the Google Cloud Console and gcloud/ kubectl commands

Training Program

1- Google Cloud Fundamentals: Core Infrastructure

• Introducing Google Cloud
• Getting Started with Google Cloud
• Virtual Machines in the Cloud
• Storage in the Cloud
• Containers in the Cloud
• Applications in the Cloud
• Containers in the Cloud
• Big Data and Machine Learning in the Cloud
• Summary and Review

2- Developing Applications with Google Cloud

• Best Practices for Application Development
• Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK
• Overview of Data Storage Options
• Best Practices for Using Cloud Firestore
• Performing Operations on Cloud Storage
• Best Practices for Using Cloud Storage
• Handling Authentication and Authorization
• Using Pub/Sub to Integrate Components of Your Application
• Adding Intelligence to Your Application
• Using Cloud Functions for Event-Driven Processing
• Managing APIs with Cloud Endpoints
• Deploying Applications
• Execution Environments for Your Application
• Debugging, Monitoring, and Tuning Performance

3- Getting started with Google Kubernetes Engine

• Introduction to Google Cloud
• Containers and Kubernetes in Google Cloud
• Kubernetes Architecture
• Introduction to Kubernetes Workloads

4- Serverless Cloud Run Development

5- Serverless Firebase Development

6- Deploy to Kubernetes in Google Cloud

Project

KELMASS

KELMASS is a startup offering IT services, cloud solutions, infrastructure management, technical support and support in the process of digitizing your business.