Google Cloud Platform Architect – Training & Certification

Program Code: 9562

Overview
Schedule classes
What you'll learn
Outline
Prerequisites
Certification

Overview

The Google Cloud Platform, or GCP is a suite of cloud computing services offered by Google. It offers management tools and modular cloud services like computing, data storage, data analytics, machine learning, etc. across IaaS, PaaS as well as serverless computing environments. With Google Cloud Platform, one can run their apps whenever and wherever they need them, make smarter, informed decisions, increase efficiency, and power their workloads on a net carbon-neutral cloud.

The Google Cloud Platform Architect has been ranked as one of the top paying IT certifications. Cognixia’s GCP Architect Training will help you advance your career in cloud architecture and help you prepare thoroughly to earn the official industry-recognized Google Cloud Professional Cloud Architect Certification. A Professional Cloud Architect can help organizations leverage the Google Cloud Platform and use their understanding of GCP to design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.

Schedule Classes

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Course Delivery

This course is available in the following formats:

Live Classroom
Duration: 12 days

Live Virtual Classroom
Duration: 12 days

What You'll learn

Overview of cloud computing
Introduction to Google Cloud Platform
Designing, planning, managing, and provisioning cloud solution architecture on GCP
Developing and deploying cloud-based, scalable, fault-tolerant enterprise applications using microservices architecture on GCP
Hybrid and multi-cloud computing
Google App Engine and Apigee Edge
Google Cloud Platform for Big Data and Machine Learning

This GCP training is highly recommended for experienced individuals interested in building a successful career in cloud computing, especially working with the Google Cloud Platform.
Some of the professionals who would find this training highly useful include:

Principal architects
Cloud architects
Cloud data architects
Cloud functions technical architects
Cloud solutions architects
database architects
Infrastructure designers
User experience designers & architects

Outline

Module 1: Introduction to the Google Cloud Platform

Fundamentals of GCP
What is cloud computing?
How did we get here?
Every company is a data company
GCP computing architectures
The Google network
GCP regions and zones
Environmental responsibility
Customer-friendly pricing offered by Google
Open APIs
Why choose the Google Cloud Platform
Multi-layered security approach
Budgets and billing

Module 2: Getting started with the Google Cloud Platform

The Google Cloud Platform resource hierarchy
Identity Access Management (IAM)
IAM roles
Interacting with the Google Cloud Platform
The Cloud marketplace (formerly Cloud Launcher)
Demonstration: Getting started with Cloud Launcher

Module 3: Virtual machines in the cloud

Virtual Private Cloud (VPC) Network
Compute engine
Important VCP capabilities
Demonstration: Getting started with the Compute Engine

Module 4: Storage in the cloud

Introduction to the Google Cloud Platform storage options
Cloud storage
Cloud storage interactions
Google Cloud Bigtable
Google Cloud SQL and Google Cloud Spanner
Google Cloud Datastore
Storage options
Demonstration: Getting started with cloud storage and cloud SQL

Module 5: Containers in the Cloud

Containers, Kubernetes, and the Kubernetes engine
Introduction to Kubernetes and GKE
Introduction to hybrid and multi-cloud computing (Anthos)
Lab introduction: Getting started with the Kubernetes engine
Demonstration: Getting started with the Kubernetes engine

Module 6: Applications in the cloud

Introduction to the app engine
Standard environment in the Google app engine
Flexible environment in the Google app engine
Google cloud endpoints and Apigee Edge
Demonstration: Getting started with the App engine

Module 7: Developing, deploying, and monitoring in the cloud

Development in the cloud
Deployment: Infrastructure-as-code
Monitoring: Proactive instrumentation
Demonstration: Getting started with the Deployment manager and Stackdriver

Module 8: Big Data and Machine Learning in the Cloud

Introduction to big data and machine learning
Google Cloud Big Data Platform
Cloud Dataflow
BigQuery
Cloud Pub/Sub and Cloud Datalab
Google Cloud Machine Learning Platform
Machine learning APIs
Demonstration: Getting started with BigQuery

Prerequisites

The prerequisites for this Google Cloud Platform Architect Certification are:

Knowledge of Google Cloud Platform or any other cloud platform
Basic knowledge of command-line tools
Basic knowledge of Linux operating system environments
Prior experience in managing & deploying applications, either on-premise or on a public cloud environment

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Certification

Once all the sessions of the course are completed, you will be evaluated on the basis of multiple parameters such as your attendance in the sessions, your scores in multiple-choice questions-based assessment, etc. Based on your overall performance, you will receive a course completion certificate from Cognixia.