T-GCIAWSP-IOfficial Google Curriculum
Google Cloud Infrastructure for AWS Professionals
2 daysILTIntermediateLoading...
Overview
This is a course for cloud architects and engineers with existing AWS knowledge that compares Google Cloud solutions with AWS and guides professionals on their use. In this course, you'll apply the concepts and technologies knowledge in AWS to explore the similarities and differences with concepts and technologies in Google Cloud. You'll get hands-on practice building and managing Google Cloud resources.
What You'll Learn
- Explain best practices for the Google Cloud solutions that incorporate resources and access management in Google Cloud
- Implement Google Cloud networks by using best practices for Cloud virtual private network (VPN), Virtual Private Cloud (VPC), and Google Cloud Firewall
- Create and customize virtual machine (VM) instances using Compute Engine
- Configure load balancers and autoscaling for VM instances
- Implement data storage services in Google Cloud
- Design a solution using Google Kubernetes Engine (GKE) for deploying applications in Google Cloud
- Examine best practices for the deploying and monitoring of Google Cloud infrastructure
- Identify the purpose and use cases for Cloud Run
Who Should Attend
Cloud architects or cloud engineers who are experienced with AWS cloud.
Prerequisites
Familiarity with AWS terms and concepts
Products Covered
Google Cloud VPNGoogle Cloud VPCGoogle Cloud FirewallCompute EngineCloud StorageCloud SQLGoogle Kubernetes EngineGKE EnterpriseCloud Operations
Course Modules
1
Resource and Access Management in Google Cloud
Topics
- Google Cloud Resource Hierarchy
- Identity and Access Management
- Service Accounts
- Interaction with Google Cloud
Learning Outcomes
- Review the AWS resource hierarchy
- Explore how IAM lets you apply policies that define who can do what on which resources in Google Cloud
- Examine service account types and keys in Google Cloud
- Navigate through Google Cloud console and Cloud Shell to perform basic tasks
Activities
Lab: Exploring Identity and Access Management
2
Networking in Google Cloud
Topics
- Networking Concepts in AWS and Google Cloud
- Virtual Private Cloud Networking
- Lab: VPC Networking
- Cloud Routing
- Interconnecting Networks
- Lab: Implement Private Google Access and Cloud NAT
Learning Outcomes
- Compare networking concepts in AWS and Google Cloud
- Understand VPC networking on Google Cloud
- Explain how Google Virtual Private Cloud (VPC) differs from AWS VPC
- Create and configure Private Google Access and Cloud NAT
- Determine which Google Cloud interconnect or peering service to use in specific circumstances
Activities
Lab: VPC NetworkingLab: Implement Private Google Access and Cloud NAT
3
Virtual Machines in Google Cloud
Topics
- Google Compute Engine
- Machine types and images
- Spot VMs
Learning Outcomes
- List the various CPU, GPU, and memory options for virtual machines
- Explore Google Cloud images
- Explain where you would want to use Spot VMs in Google Cloud
Activities
Lab: Getting started with Compute Engine
4
Load Balancing and Managed Instance Groups on Google Cloud
Topics
- Load Balancing in AWS and Google Cloud
- Cloud Load Balancing Features in Google Cloud
- Managed Instance Groups
Learning Outcomes
- Explain Cloud Load Balancing features in Google Cloud
- Describe Managed Instance Groups and how to use them
- Explain how to use Managed Instance Groups with Load Balancers
Activities
Lab: Configuring an HTTP Load Balancer with Autoscaling
5
Storage in Google Cloud
Topics
- Overview of Storage and Database Services
- Cloud Storage
- Managed Database Services
- Data Lake Options
Learning Outcomes
- Explore storage options and use cases
- Explore the features of Cloud SQL and Cloud Spanner
- Learn about using Cloud Bigtable
Activities
Lab: Cloud StorageLab: Implementing Cloud SQL
6
Containers in Google Cloud
Topics
- Containers in Google Cloud
- Google Kubernetes Engine
- Kubernetes Concepts and Architecture
- Deployments and Networking
- Hybrid and Multi-Cloud Computing with GKE Enterprise
Learning Outcomes
- Explain how containers can be utilized in Google Cloud
- Provision a Kubernetes cluster using GKE
- Explain how Deployments are used in Kubernetes
- Identify the purpose of hybrid and multi-cloud computing with GKE Enterprise
Activities
Lab: Getting started with Google Kubernetes EngineLab: Creating Google Kubernetes Engine Deployments
7
Applications in Google Cloud
Topics
- Developing Applications in Google Cloud
- Cloud Run Functions
- Cloud Run
Learning Outcomes
- Describe how Cloud Run Functions can support application development
- Deploy a containerized application on Cloud Run
Activities
Lab: Hello Cloud Run
8
Monitoring in Google Cloud
Topics
- Monitoring in the Cloud
- Cloud Operations
- Monitoring GKE Clusters
- Monitoring Tools in AWS and Google Cloud
Learning Outcomes
- Describe Google Cloud's operations suite
- Create charts, alerts, and uptime checks for resources with Cloud Monitoring
- Describe system metrics collection in GKE
Activities
Lab: Monitoring a Compute Engine VM using Ops Agent
Get This Training
No public classes currently scheduled. Express interest below or request private training.
Course Details
- Course Code
- T-GCIAWSP-I
- Duration
- 2 days
- Format
- ILT
- Level
- Intermediate
- Modules
- 8
- Activities
- 11
- Price
- Loading...
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