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- India, Singapore
Google Cloud – Solution Architect Professional Workshop Training in India
4.4
4.4/5
Price :
₹1,35,000
Category :
Management
Anil Bidari
Chief Consultant
Anil Bidari is a versatile trainer and consultant specializing in GitLab, AWS, Azure, Google, DevOps, Jenkins, Kubernetes, Ansible, Docker, Agile, and Machine Learning. His expertise drives successful technology adoption and implementation, benefiting organizations and individuals alike.
- Time Duration : 21 Hours - 3 Days
- Study Lecture : 20 Lectures
- Skill Level : Advance Course
- Certificate : Yes
- Training Delivery Mode : Online - Live Instructor Led training
OVERVIEW :
COURSE DESCRIPTION
COURSE SUMMARY
COURSE OBJECTIVES
COURSE DESCRIPTION
Google Cloud – Solution Architect Professional Workshop Training by Cloud Enabled Pte Ltd in Singapore and India.
COURSE SUMMARY
The course is designed based on official certification requirements outlined by Google Cloud provider for Google Cloud Certified – Professional Cloud Architect exam
COURSE OBJECTIVES
- Understand the core concepts of Google Cloud
- Architect Google cloud from cost, performance, and cost optimization perspective
- Rich hands-on labs to understand concepts better
- Understand and create VPC
- Deploy and operate on Google cloud storage, Database, compute services
Course Outline
Module 1: Introduction to Google Cloud Platform
- Role of the Cloud Architect.
- Learn about Solution Domains as an approach to design.
Lab: Console and Cloud Shell.
Lab: Projects.
Lab: Infrastructure Preview.
Module 2: Virtual Networks
- Cloud Virtual Networks (CVN), 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
- GCE, tags, VM options, vCPUs, disk options, images, and special features of persistent disks for VMs.
Lab: Creating Virtual Machines.
Lab: Working with Virtual Machines.
Module 4: Cloud IAM
- Members, roles, organizations, account administration, service accounts.
Lab: Cloud IAM.
Module 5: Data Storage Services
- Cloud Storage, Datastore, Bigtable, Cloud SQL.
Lab: Cloud Storage.
Lab: Cloud SQL.
Lab: Cloud Datastore.
Module 6: Resource Management
- Billing, Quotas, Labels, Names, Cloud Resource Manager.
Lab: Billing Administration.
Lab: Examining Billing Data with BigQuery.
Module 7: Resource Monitoring
- Stackdriver, Monitoring, Logging, Error Reporting, Tracing, Debugging.
Lab: Resource Monitoring (Stackdriver).
Lab: Error Reporting and Debugging (Stackdriver).
Module 8: Interconnecting Networks
- VPNs, Cloud Router, Cloud Interconnect, Direct Peering, Cloud DNS.
Lab: Virtual Private Networks (VPN).
Lab: Dynamic VPN with Cloud Routers.
Module 9: Load Balancing
- Network Load Balancing, HTTP(S) Load Balancing, SSL Load Balancing and Internal Load Balancing, Managed Instance Groups.
Lab: VM Automation and Load Balancing.
Module 10: Autoscaling
- Autoscaler.
Lab: Autoscaling.
Module 11: Infrastructure Automation with Cloud API
- Infrastructure automation, custom images, startup and shutdown scripts and metadata.
Lab: Cloud API Infrastructure Automation.
Module 12: Infrastructure Automation with Deployment Manager
- Deployment Manager templates.
Lab: Deployment Manager.
Module 13: Managed Services
Dataproc, Dataflow, BigQuery, Datalab.
Let's Enroll Our Course !!
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