Google Cloud

Google Cloud Infrastructure - Professional Cloud Architect Certification

34 hours
1830,00 €
Classroom or Live Virtual Class
Classroom or Live Virtual Class
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Description

This course is oriented towards helping students to obtain the needed skills and knowledge to be a professional Google Cloud Architect, a job profile with a deep knowledge of Cloud architecture and Google Cloud Platform that allows them to design, develop and manage solid, secure, scalable, highly available, and dynamic solutions to drive an organization's business goals.

The first module presents an overview of Google Cloud Platform products and services. Through a combination of presentations, demos, and labs, participants will learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies.

The second module of this course introduces students to the complete and flexible infrastructure and platform services provided by Google Cloud Platform. By combining presentations, demos and labs, students will explore and implement solution elements, including infrastructure components such as networks, systems, and application services.

This part also covers the implementation of practical solutions including secure interconnected networks, client-issued encryption keys, security and access management, quotas and sharing, and resource monitoring.

The third and last module of this course focuses on the preparation of the official Professional Cloud Architect certification exam, whose passing verifies that a professional is fully qualified to work as a professional Google Cloud architect in a business environment.

The complete preparation offered by this module is achieved by testing useful skills, which include reasoning for exam questions and case understanding, useful tips, reviewing topics in the Infrastructure curriculum and taking a Practice Test, a simulation of the certification exam associated to this course.

The complete preparation offered by this module is achieved by testing useful skills, which include reasoning for exam questions and case understanding, useful tips, reviewing topics in the Infrastructure curriculum and taking a Practice Test, a simulation of the certification exam associated to this course.

PUE is a Google Cloud Official Training Partner authorized by that multinational to provide official training in its technologies.

Audience and prerequisites

This course is intended for Cloud Solutions Architects, DevOps Engineers and individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform.

This training is also aimed at Cloud professionals who intend to take the Professional Cloud Architect certification exam. To get the most out of the course the attendants should have:

  • Basic proficiency with command-line tools and Linux operating system environments.
  • Systems Operations experience, including deploying and managing applications, either on-premises or in a public cloud environment.

Objectives

This course teaches participants the following skills:

  • Identify the purpose and value of Google Cloud Platform products and services.
  • Interact with Google Cloud Platform services.
  • Describe ways in which customers have used Google Cloud Platform.
  • Consider the entire range of Google Cloud Platform technologies in their plans.
  • Learn methods to develop, implement, and deploy solutions.
  • Distinguish between features of similar or related products and technologies.
  • Recognize a wide variety of solution domains, use cases, and applications.
  • Develop essential skills for managing and administering solutions.
  • Develop knowledge of solution patterns -- methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities.
  • Provide information, tips, and advice on taking the exam
  • In-depth review of sample case studies
  • Review each section of the exam covering highest-level concepts sufficient to build confidence in what is known by the candidate
  • Indicate skill gaps/areas of study if not known by the candidate

Certification included

This course is recommended for preparing the following official certification exam valued at 222,45€ (VAT included), the cost of which (one chance) is included in the course price for all members of the PUE Alumni program:

Passing this exam is an essential requirement to obtain the Professional Cloud Architect Certification.

PUE is an Official Kryterion Certification Center facilitating the management of the exam for the candidate. The student will be able to carry out their certification, either in our facilities or, if they prefer, through the Kryterion’s online-proctoring (OLP) solution option, which allows them to attend the official Google Cloud certification from any location with just an internet connection.

Topics

Module 1: Google Cloud Fundamentals: Core Infrastructure

Introducing Google Cloud Platform

  • Explain the advantages of Google Cloud Platform.
  • Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones.
  • Understand the difference between Infrastructure-as-a- Service (IaaS) and Platform-as-a-Service (PaaS).

Getting Started with Google Cloud Platform

  • Identify the purpose of projects on Google Cloud Platform.
  • Understand the purpose of and use cases for Identity and Access Management.
  • List the methods of interacting with Google Cloud Platform.
  • Lab: Getting Started with Google Cloud Platform.

Virtual Machines and Networks in the Cloud

  • Identify the purpose of and use cases for Google Compute Engine.
  • Understand the various Google Cloud Platform networking and operational tools and services.
  • Lab: Compute Engine.

Storage in the Cloud

  • Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore.
  • Learn how to choose between the various storage options on Google Cloud Platform.
  • Lab: Cloud Storage and Cloud SQL.

Containers in the Cloud

  • Define the concept of a container and identify uses for containers.
  • Identify the purpose of and use cases for Google Kubernetes Engine and Kubernetes.
  • Lab: Kubernetes Engine.

Applications in the Cloud

  • Understand the purpose of and use cases for Google App Engine.
  • Contrast the App Engine Standard environment with the App Engine Flexible environment.
  • Understand the purpose of and use cases for Google Cloud Endpoints.
  • Lab: App Engine.

Developing, Deploying, and Monitoring in the Cloud

  • Understand options for software developers to host their source code.
  • Understand the purpose of template-based creation and management of resources.
  • Understand the purpose of integrated monitoring, alerting, and debugging.
  • Lab: Deployment Manager and Stackdriver.

Big Data and Machine Learning in the Cloud

  • Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms.
  • Lab: BigQuery.

 

Module 2: Architecting with Google Compute Engine

Introduction to Google Cloud Platform

  • Google Cloud Platform (GCP) Infrastructure.
  • Using GCP.
  • Lab: Console and Cloud Shell.
  • Demo: Projects.
  • Lab: Infrastructure Preview.

Virtual Networks

  • Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules.
  • Subnetworks for resource management instead of physical network topology.
  • Lab: Virtual Networking.
  • Lab: Bastion Host.

Virtual Machines

  • Compute Engine.
  • Lab: Creating Virtual Machines.
  • Compute options (vCPU and Memory).
  • Common Compute Engine actions.
  • Lab: Working with Virtual Machines.

Cloud IAM

  • Organizations, Roles, Members, Service accounts, Cloud IAM best practices.
  • Lab: Cloud IAM.

Data Storage Services

  • Cloud Storage.
  • Lab: Cloud Storage.
  • Cloud SQL.
  • Lab: Cloud SQL.
  • Cloud Spanner, Cloud Datastore.
  • Lab: Cloud Datastore.
  • Cloud Bigtable.

Resource Management

  • Cloud Resource Manager, Quotas, Labels, Names, Billing.
  • Demo: Billing Administration.
  • Lab: Examining Billing Data with BigQuery.

Monitoring resources

  • Stackdriver and Monitoring.
  • Lab: monitoring of resources (Stackdriver).
  • Logging, Error Reporting, Tracing, Debugging.
  • Lab: Report errors and debugging (Stackdriver).

Interconnecting Networks

  • Cloud Virtual Private Network (VPN).
  • Lab: Virtual Private Networks (VPN).
  • Cloud Router, Cloud Interconnect, External Peering, Cloud DNS.

Load Balancing

  • Managed Instance Groups, HTTPS load balancing, Cross-region and content-based load balancing, SSL proxy/TCP proxy load balancing, Network load balancing.
  • Lab: VM Automation and Load Balancing.

Autoscaling

  • Autoscaling, Policies, Configuration.
  • Lab: Autoscaling.

Infrastructure Automation with Google Cloud Platform APIs

  • Infrastructure automation, Images, Metadata, Scripts, Google Cloud API.
  • Lab: Google Cloud Platform API Infrastructure Automation.

Infrastructure Automation with Deployment Manager

  • Deployment Manager, Configuration, Cloud Launcher.
  • Lab: Deployment Manager.

Managed Services

  • Cloud Dataproc, Cloud Dataflow, BigQuery, Cloud Datalab.

 

Module 3: Preparing for the Professional Cloud Architect Examination

Understanding the Professional Cloud Architect Certification

  • Position the Professional Cloud Architect certification among the offerings
  • Distinguish between Associate and Professional
  • Provide guidance between Professional Cloud Architect and Associate Cloud Engineer
  • Describe how the exam is administered and the exam rules
  • Provide general advice about taking the exam

Sample Case Studies

  • MountKirk Games
  • Dress4Win
  • TerramEarth

Designing and Implementing

  • Review the layered model from Design and Process
  • Provide exam tips focused on business and technical design
  • Designing a solution infrastructure that meets business requirements
  • Designing a solution infrastructure that meets technical requirements
  • Design network, storage, and compute resources
  • Creating a migration plan
  • Envisioning future solution improvements
  • Resources for learning more about designing and planning
  • Configuring network topologies
  • Configuring individual storage systems
  • Configuring compute systems
  • Resources for learning more about managing and provisioning
  • Designing for security
  • Designing for legal compliance
  • Resources for learning more about security and compliance

Optimizing and Operating

  • Analyzing and defining technical processes
  • Analyzing and defining business processes
  • Resources for learning more about analyzing and optimizing processes
  • Designing for security
  • Designing for legal compliance
  • Resources for learning more about security and compliance
  • Advising development/operation teams to ensure successful deployment of the solution
  • Resources for learning more about managing implementation
  • Easy buttons
  • Playbooks
  • Developing a resilient culture
  • Resources for learning more about ensuring reliability

Next Steps

  • Identify Instructor Led Training courses and what they cover that will be helpful based on skills that might be on the exam
  • Review/feedback of course

The end of the course contains an ungraded practice exam quiz, followed by a graded practice exam quiz that simulates the exam-taking experience.

Open calls