Google Cloud Platform Training by Experts
Our Training Process
Google Cloud Platform - Syllabus, Fees & Duration
Module 1: Overview Cloud & Google Cloud Platform
- Cloud overview & Characteristics
- Cloud Service Model (IAAS, PAAS, SAAS)
- Cloud Deployment Model (Public, Private, Hybrid)
- Google Cloud Plateform (GCP) Infrastructure Overview
- Create GCP Account & Console Overview
- Organizations, Folder, Project, Resource & Billing
- Google Cloud Architecture Framework
Module 2: Virtual Machines
- Compute Engine (VM): Types & Options
- VM Instance Lifecycle & Common Operations
- Machine Types & Compute Options (VCPU And Memory) In Compute Engine
- Images & Snapshots
- Disk Types: Local SSD, Persistent & Balanced
Module 3: Virtual Networks
- Virtual Private Cloud (VPC) & Types, Subnets
- Ip Addresses (Public/Private), Nic
- Routes & Route Table
- Firewalls
- Network Topology Options
Module 4: Cloud IAM
- IAM Basic: Authentication, Authorization & MFA
- Roles, Members, Service Account, Policy
- Resource Hierarchy
- Cloud IAM Best Practices
Module 5: Data Storage Services
- Google Cloud Storage Overview & Structure
- Storage Classes, Versioning & Lifecycle Policies
- Cloud SQL For Database (MySQL, Postgresql and SQL Server)
- Cloud Spanner: Fully Managed Relational DB
- Cloud Datastore
- Cloud Bigtable: NOSQL Big Data Service
Module 6: App Engine, Functions, Cloud Run
- App Engine: Serverless Web Apps
- App Engine Environments: Standard Vs Flexible
- Cloud Functions: Events & Triggers
- Cloud Run: Serverless Containers
Module 7: Resource Management
- Cloud Resource Manager Overview
- Quotas, Labels, Names & Billing
Module 8: Resource Monitoring
- Stackdriver: Cloud Monitoring & Logging
- Logging, Error Reporting, Tracing, Debugging
Module 9: Interconnecting Networks
- Virtual Private Network (VPN) & Its Types
- VPC Peering (Public & Private)
- Cloud DNS, Cloud Interconnect & Cloud Router
Module 10: Load Balancing & Autoscaling
- Load Balancing Types: Internal, External, Global & Regional
- Https, Network, SSL & TCP Load Balancers
- Cross-Region and Content-Based Load Balancing
- Autoscaling Policies & Configuration
Module 11: Google Kubernetes Engine
- Microservices, Containers, Docker & Kubernetes
- GCP Kubernetes Engine (GKE), Understand the Relationship
Between Kubernetes
and Google Kubernetes Engine (GKE) - Kubernetes Architecture : Clusters, Node, Node Pools, Pods, Services
- Deploy & Manage Workloads on GKE
Module 12: Maintenance & Monitoring
- Capacity Planning and Cost Optimization
- Deployment, Monitoring and Alerting, And Incident Response
- Monitoring and Alerting
Module 13: Cloud Migrations
- Understanding Migration Used Cases
- Understanding Migration Tools and Process
This syllabus is not final and can be customized as per needs/updates
- Since 2001, Making IT Experts by Experts
- Duration: 20 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Batch Classes @ Low Fees
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsNEAR.in
- Training/Internship Certificate
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Course Highlights
Featured Courses
Software developers, Cloud directors, and another enterprise IT professionals can access this platform via the public internet or a dedicated network connection. Google's cloud administrations are open source, which aids with interoperability and conduct capability, both of which are critical to future-proofing engineering. Google Cloud provides serverless analytics, allowing customers to concentrate solely on analytics. For an enterprise's IT operations team to keep on top of things, learning Google cloud is essential.
Our Google Cloud Training Adelaide strives to provide high-quality instruction that practically covers fundamental concepts. The structure of Google's VMs allows them to be transferred without halting. It offers a comprehensive set of IAAS, PAAS, and CAAS services. To induce an in-depth grasp of configuring SDK, situating GSuit, IAM APIs, establishing custom rules, penetration testing, and security controls through our real-time projects and hands-on use cases. Users can simply demand that they be charged for the computing time they use, and they will be eligible for lucrative discount rates for long-running workloads. Google adheres to several international security standards to ensure that your data remains your data and that no one else may access it under any circumstances.
