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Google Cloud Platform Architect Course Description
Google Cloud Platform is one of the fastest growing cloud service platforms offered today that lets you run your applications and data workflows at 'Google-sized' scale.
The Google Cloud Certified Professional Cloud Platform Architect certification is one of the most highly desired IT certifications out today. It is also one of the most challenging exams offered by any cloud vendor today. Passing this exam will take many hours of study, hands on experience, and understanding of a very wide range of GCP topics.
Google Cloud Platform (GCP) lets organizations take advantage of the powerful network and technologies that Google uses to deliver its own products. Global companies like Coca-Cola and cutting-edge technology stars like Spotify are already running sophisticated applications on GCP. This Training Course will take you through the fundamentals of GCP and then show you how to design an enterprise-class Google Cloud infrastructure for your own organization.
When you architect an infrastructure for mission-critical applications, not only do you need to choose the appropriate compute, storage, and networking components, but you also need to design for security, high availability, regulatory compliance, and disaster recovery.
Who should go for this training?
Edugators Google Cloud Platform Architect Training course is well-suited for: Software developers, Cloud solutions architects, Systems operators, DevOps engineers
Requirements
Computer or laptop or Smartphone with Highspeed Internet Connection
Prior IT Experience would be an added advantage.
There is no programming knowledge needed and no prior Cloud experience required for this course.
Google Cloud Platform Architect Course Syllabus
- What is Cloud computing
- Overview of different cloud computing services
- Understand GCP environment
- Different Compute, Storage, Big Data and AI resources which GCP offers
- Google Network Service Offerings
- Basics of GCP Project
- Setup GCP account
- Introduction to Primitive role
- Google Cloud Platform (GCP) Infrastructure
- Compute resources
- Networking Services
- Storage and Database offering
- Bigdata and AI services
- Question-Answer Session
- Managing GCP environment with GCP console
- Control GCP environment using CLI
- GCP environment management using Cloud Shell
- GCP environment management using Gcloud
- GCP environment management using Gsutil
- Install and configure cloud SDK
- How to use VPC
- Create/Manage VPN
- Cloud Virtual Network
- Virtual Private Cloud
- Create/Modify Firewall policies
- Proxies / Gateway and Endpoints
- Network/Subnetwork
- DNS Resolution
- Firewalls and Routes
- Cloud Router
- Interconnecting networks
- Security aspect
- Hello
- Understand Identity and Access Management (IAM)
- Understanding Organizations, Roles, Members, Service accounts, Policy
- Policy Hierarchy
- Understanding different role and permission
- Creating custom role
- Basic IAM APIs
- Key Management Systems
- Data security
- Resource Sharing and Isolation
- Auditing
- Penetration testing
- Security controls
- Question-Answer Session
- Understand Compute Engine
- Understand and implement Compute options (vCPU and Memory) specific to workload
- Create Virtual Machine and VM instances
- Working with VM
- Persistent disk – HDD, SSD
- Load Balancing
- Common Compute Engine actions
- Working with Virtual Machine – Attaching persistent disk to VM
- Understand Cloud Storage – Nearline, Coldline
- How to store data
- Cloud SQL
- How to retrieve data
- Cloud Spanner, Cloud Datastore
- Cloud Bigtable
- Archiving cold data
- Pros and cons of storage option and how to choose
- Understanding Billing aspect of storage options
- Tradeoff of storage options
- Integration with on premises/multi-cloud environment
- Why containers are used
- Understand Containers and their benefits
- Kubernetes Engine, Container Registry
- How to use Kubernetes Load Balancing
- How to choose Kubernetes Engine, App Engine, or Containers on Compute Engine
- Creating A Kubernetes Cluster
- Build dataflow pipeline
- Dataflow services
- Stream and Batch processing
- How to create a maven project with Dataflow SDK
- Apache Beam SDK
- Monitoring using Stackdriver
- Data transformation with Cloud Data flow
- Working with Dataproc
- Creating Cluster
- Managing cluster
- Automation of jobs
- Using APIs to automate jobs
- Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
- Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs
- App Engine
- How to use Google Stackdriver : Overview, Integration, Monitoring, Logging, Error reporting, Tracing
- Question-Answer Session
- How to create/configure Jenkins service on GCP
- Setup CI/CD
- Setting up Jenkins on Container engine
- Deploy application on Jenkins
- Create deployment pipeline in Jenkins
- Create and Deploy on cluster
- Deploy development and production environment
- Analysis & Troubleshooting
- Different critical KPIs, Metrics, Analytics
- Collect and Analyze metrics
- How to take decision to migrate to GCP
- Evaluate and choose an automation framework for provisioning resources in cloud
- How to choose from different options as per specific need
- How to manage scalability
- Hybrid model
- Create Migration Plan
- Move local data to GCP
- Understand JencoMart case study
- Understand Mountkirk Games case study
- Understand Dress4Win case study
- Understand TerramEarth case study
- Question-Answer Session
Nagmani Solanki
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Full Stack Developer
It was a very good experience. Edugators and the instructor worked with us through the whole process to ensure we received the best training solution for our needs.
Praveen Madhukar
Web Design
I would definitely recommend taking courses from Edugators. The instructors are very knowledgeable, receptive to questions and willing to go out of the way to help you.
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