Google Cloud Fundamentals for AWS Professionals
Duration: 1 Day (8 Hours)
Overview
Course Details
Prerequisites
Google Cloud Fundamentals for AWS Professionals Course Overview:
This course teaches AWS professionals about the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database.
It is designed for AWS system administrators, solutions architects, and SysOps administrators who are familiar with AWS features and setup and want to gain experience configuring Google Cloud products immediately. This course uses lectures, demos, and hands-on labs to show you the similarities and differences between the two platforms and teach you about some basic tasks on Google Cloud.
Intended Audience:
- Individuals planning to deploy applications and create application environments on Google Cloud
- Developers, systems operations professionals, and solution architects getting started with Google Cloud.
- Executives and business decision makers evaluating the potential of Google Cloud to address their business needs.
Course Objectives:
- Identify Google Cloud counter parts for Amazon VPC, subnets, routes, NACLs, IGW, Amazon EC2, Amazon EBS, auto-scaling, Elastic Load Balancing, Amazon S3, Amazon Glacier, Amazon RDS, Amazon Redshift, AWS IAM
- Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more
- Manage and monitor applications
- Explain feature and pricing model differences
Module 01: Introducing Google Cloud
- What is cloud computing?
- Google Cloud Computing architectures
- The Google network
- Google Cloud Regions and Zones
- Google Cloud versus AWS regions and zones
- Open API’s
- Multi-layered security approach
- Budgets and Billing
Module 02: Getting Started with Google Cloud
- Google Cloud resource hierarchy
- Comparison to AWS resource hierarchy
- Identity and Access Management(IAM)
- IAM Roles
- Comparison to AWS IAM
- Interacting with Google Cloud
- Cloud Market place
Module 03: Virtual Machines in the Cloud
- Virtual Private Cloud (VPC) Network
- How AWS VPC differs from Google VPC
- Compute Engine
- Comparing Amazon EC2 and Google Compute Engine
- Important VPC Capabilities
- How typical approaches to load-balancing in Google Cloud differ from those in AWS
Module 04: Storage in the Cloud
- Cloud Storage
- Cloud Storage Interactions
- Comparing Amazon S3 and Amazon Glacier with Google Cloud Storage
- Cloud Bigtable
- Cloud SQL and Cloud Spanner
- Cloud Data store
- Comparing Amazon RDS with Google Cloud’s managed data base services
- Comparing Storage Options
Module 05: Containers in the Cloud
- Containers in the Cloud
- Kubernetes and Kubernetes Engine
- Hybrid and Multi-Cloud
- How Amazon Elastic Container Service(ECS) and Amazon Elastic Kubernetes Service (EKS) differ from GKE
Module 06: Applications in the Cloud
- App Engine Standard Environment
- App Engine Flexible Environment
- Comparison to AWS Elastic Beanstalk
- Cloud End points and Apigee Edge
Module 07: Developing, Deploying, and Monitoring in the Cloud
- Development in the cloud
- Deployment: Infrastructure as code
- How Cloud Deployment Manager differs from AWS Cloud Formation
- Monitoring: Proactive instrumentation
- How Cloud Operations differs from Amazon Cloud Watch and AWS Cloud Trail
Module 08: Big Data and Machine Learning in the Cloud
- Google Cloud Big Data Platform
- Dataflow
- Big Query
- How Big Query differs from Amazon Redshift
- Pub/sub and Data lab
- How Cloud Pub/Sub differs from Amazon SQS
- Google Cloud Machine Learning Platform
- ML APIs
- How GCP’s machine-learning APIs differ from AWS’s
Module 09: Summary and Review
- Course Review
- The Process of migrating from AWS to Google Cloud
- Next Steps
To get the most out of this course, participants should:
- Have basic proficiency with networking technologies like subnets and routing
- Have basic proficiency with command-line tools
- Students are expected to have experience with Amazon VPC, Amazon EC2 instances, and disks. Familiarity with Amazon S3 and AWS database technologies is recommended
Discover the perfect fit for your learning journey
Choose Learning Modality
Live Online
- Convenience
- Cost-effective
- Self-paced learning
- Scalability
Classroom
- Interaction and collaboration
- Networking opportunities
- Real-time feedback
- Personal attention
Onsite
- Familiar environment
- Confidentiality
- Team building
- Immediate application
Training Exclusives
This course comes with following benefits:
- Practice Labs.
- Get Trained by Certified Trainers.
- Access to the recordings of your class sessions for 90 days.
- Digital courseware
- Experience 24*7 learner support.
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