GOOGLE CLOUD CERTIFIED Associate Cloud Engineer (GCPACE-T)

GOOGLE CLOUD CERTIFIED Associate Cloud Engineer (GCPACE-T)

Overview

Duration: 4 days

 

This track includes :

Google Cloud Platform Fundamentals: Core Infrastructure - GCPCIN - 1 Day

Architecting with Google Cloud Platform: Infrastructure - GCPAIN - 3 Days

Google Cloud Platform Fundamentals: Core Infrastructure one-day instructor-led class provides an overview of Google Cloud Platform products and services. Through a combination of presentations, demos, and hands-on labs, participants learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies.

Architecting with Google Cloud Platform: Infrastructure is three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

Objectives

Google Cloud Platform Fundamentals: Core Infrastructure 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
  • Choose among and use application deployment environments on Google Cloud Platform: Google App Engine, Google Kubernetes Engine, and Google Compute Engine
  • Choose among and use Google Cloud Platform storage options: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore
  • Make basic use of BigQuery, Google’s managed data warehouse for analytics
  • Make basic use of Cloud Deployment Manager, Google’s tool for creating and managing cloud resources through templates
  • Make basic use of Google Stackdriver, Google’s monitoring, logging, and diagnostics system 

 

Architecting with Google Cloud Platform: Infrastructure course teaches participants the following skills:

  • 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.

Course Outline

In Google Cloud Platform Fundamentals: Core Infrastructure, you will learn

Module 1: 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).

 Module 2: 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.

 Module 3: 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

 Module 4: 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

 Module 5: 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

 Module 6: 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

 Module 7: 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

 Module 8: 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

 

In Architecting with Google Cloud Platform: Infrastructure, you will learn

Module 1: Introduction to Google Cloud Platform

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

 Module 2: Virtual Networks

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

 Module 3: Virtual Machines

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

 Module 4: Cloud IAM

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

 Module 5: Data Storage Services

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

 Module 6: Resource Management

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

 Module 7: Resource Monitoring

  • Stackdriver, Monitoring
  • Lab: Resource Monitoring (Stackdriver)
  • Logging, Error Reporting, Tracing, Debugging
  • Lab: Error Reporting and Debugging (Stackdriver)

 Module 8: Interconnecting Networks

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

 Module 9: 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

 Module 10: Autoscaling

  • Autoscaling, Policies, Configuration
  • Lab: Autoscaling

 Module 11: Infrastructure Automation with Google Cloud Platform APIs

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

 Module 12: Infrastructure Automation with Deployment Manager

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

 Module 13: Managed Services

  • Cloud Dataproc, Cloud Dataflow, BigQuery, Cloud Datalab

 Module 14: Application Infrastructure Services

  • Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs

 Module 15: Application Development Services

  • App Engine

 Module 16: Containers

  • Containers, Kubernetes Engine, Container Registry
  • Lab: Kubernetes Load Balancing
  • Kubernetes Engine, App Engine, or Containers on Compute Engine

Participants should have:

  • Completion of Google Cloud Platform Fundamentals or equivalent experience
  • 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
  • Familiarity with the Linux command line, web servers, and text editors. 
Course ID:
GCPACE-T


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