Google Cloud Platform for Enterprise Essential Training
- Offered byLinkedin Learning
Google Cloud Platform for Enterprise Essential Training at Linkedin Learning Overview
Duration | 4 hours |
Total fee | ₹1,400 |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Google Cloud Platform for Enterprise Essential Training at Linkedin Learning Highlights
- Earn a certificate of completion from LinkedIn Learning
Google Cloud Platform for Enterprise Essential Training at Linkedin Learning Course details
- This course helps enterprise architects, network admins, and technology stakeholders evaluate and implement GCP services for their organizations
- Learn how GCP addresses enterprise concerns—from reliability to partner integration—and discover the scenarios where it shines, including data warehousing and disaster recovery
- Along the way, instructor Lynn Langit shows how to use GCP to manage virtual machines, Docker containers, Kubernetes clusters, relational data stores, NoSQL data, data lakes, and more
- She also shares practical tips for saving money, planning deployments, and integrating compatible services
Google Cloud Platform for Enterprise Essential Training at Linkedin Learning Curriculum
Introduction
Enterprise-ready GCP
What you should know
Work with cloud services
GCP for the Enterprise
Is GCP enterprise-ready?
Enterprise concerns: Availability and reliability
Enterprise concerns: Security and cost
Enterprise concern: Services and partners
Core enterprise scenarios
Enterprise scenarios
Enterprise Setup and Security
Select your authorization domain
Set up your organizational account
Use resource hierarchy for access control
Manage organizational billing
GCP tool selection: Console or command line
Set up hybrid connectivity
Set up a VPC network
Patterns for cloud enterprise applications
Enterprise Compute
Scenario: Lift and shift
Migrate VMs to GCE
GCE instance management
GCE instance groups
Scenario: New internal applications
Serverless with Cloud Functions and Cloud Run
Kubernetes abstraction level
Anthos Migrate and Config Management
Container-based with Cloud Run on GKE
Enterprise Storage and Database
Scenario: Disaster recovery
Cloud KMS and encryption
Cloud SQL
Cloud Spanner
Scenario: Data warehouse
BigQuery: Enterprise features
BigQuery: Machine learning
Google Dataprep
Google Data Fusion
Enterprise Data Pipelines
Scenarios: Serverless data lakes and pipelines
Scenario: IoT application
Cloud IoT Core
Cloud Bigtable
Scenario: Event data pipelines
Google Dataproc
Google Dataflow
Google Composer
Scenario: Genomics data pipelines
Google Life Sciences API and BigQuery