Google Cloud Training

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Google Cloud Training

The Google Cloud Training program at CyberMind IT Solution Software Training Institute is designed to help students and working professionals master Google Cloud Platform (GCP) through real-world projects, practical labs, and expert-led instruction.
Our curriculum covers essential cloud concepts as well as advanced solutions architecture, ensuring you gain the skills required for top cloud roles in the industry. Our training program is designed to give you hands-on experience with Google Cloud Platform (GCP), one of the leading cloud platforms in the industry.Whether you’re a beginner or an experienced professional looking to improve, our course will prepare you for a range of GCP certifications, including the GCP Associate Cloud Engineer certification, helping you master cloud services and solutions on Google Cloud.You will learn how to effectively use GCP services to design, deploy, and manage secure, scalable cloud applications.

Google Cloud Training Objective

Understanding Core GCP Services: Develop a clear understanding of Google Cloud’s core services, including computing, networking, storage, and databases.

Designing Cloud Solutions :Learn how to design scalable and highly available applications on GCP.

Implementing Security and Identity Management: Get hands-on experience with security best practices, managing permissions, and ensuring data protection on the cloud.

Mastering Cost Management :Learn how to manage and optimize costs using GCP’s budgeting and monitoring tools.

Gaining Expertise in Cloud Deployment: Acquire knowledge in deploying, managing, and maintaining cloud applications using GCP’s various tools and services.

 

Why Learn Google Cloud?

Google Cloud is one of the fastest-growing cloud platforms globally. Leading companies use GCP for:

  • Scalable applications

  • AI/ML workloads

  • Data engineering

  • Cloud-native development

  • Enterprise infrastructure

  • Learning GCP opens doors to high-demand roles and globally recognized certifications.

Course Features

100% Practical, Job-Oriented Training

Google Cloud & CLI Hands-On Labs

Real-Time Architecture Design Case Studies

Certification-Focused Syllabus (SAA-C03) Practice Questions + Exam Preparation

Resume + Interview Assistance

Who Can Join This Course?

This course is ideal for:

  • Cloud beginners

  • System administrators

  • DevOps engineers

  • Software developers

  • Networking professionals

  • Students aspiring for cloud careers

Tools and Services Covered

  • Cloud Build
  • Artifact Registry
  • Developer & DevOps Tools
  • Application Integration

Career Opportunities After This Training

  •   Google Cloud Engineer  
  •   Cloud Solutions Architect
  • DevOps/Cloud DevOps Engineer
  • Cloud Administrator
  • Cloud Support Engineer
  • Cloud Infrastructure Specialist

Why Cybermind IT Solution?

  • Modern cloud training infrastructure

  • Industry-oriented curriculum

  • Real-time hands-on practice

  • Experienced Google Cloud certified trainers

  • Placement-oriented training with resume & interview support

Course Outline

Course Duration:  2 Months

Sessions :

  • Weekdays – 4 per week
  • Weekends – 2 per week

Prerequisites :

  • There is no such Prerequisites for this course.
  • Basic computer knowledge will be advantage.
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Mr. Sanjeev Kumar

Qualification: B.Tech (CSE)
Certificate: RHCSA, RHCE, CCNA Certified
Specialisations: Cloud Architecture Specialist
Experience: 14+ Years

Course Contents

  • What is the Cloud
  • Cloud Modules (Private, Public, Hybrid) and Cloud Services (IaaS,
    PaaS,SaaS)
  •  Cloud and Virtualization
  • GCP Organization Concept
  •  Roles of Organization and Project in Enterprise Cloud Architecture
  • Creating Projects and Managing Projects
    Unit.

 

  •  GCP cloud cost management
  •  Cloud billing and pricing calculator
  •  Predictive cost analysis.
  • Users, Groups, Service Accounts, Creation, Deletion & Management.
  • Roles, Custom roles & Policies creation, Deletion & Management
  • Applying for roles on both project and organization level

  • VM Instance Creation, Deletion, Management, Resizing, Backup &
    Restoration
  • Redundancy Options
  • Instance Group
        Concept of Auto Node Scaling
         VM Image Creation
  • Instance Template
  • Machine Image
  • Disk
  • SnapShot
  • Images

  • VPC, subnets

  • VPC peering, Cloud DNS (Private and Public, VPC linking

  • Ingress Egress Firewall rules
  • Routes
  • IP Addresses
  • Cloud storage, file system storage, cloud disk Static website hosting with http load balancer and cloud storage bucket.
  • Storage redundancy
  • Disk snapshot
  • Backup and restore Unit
  • Load Balancing
  • Concept of Private and Public LBs, Use of LBs in multi-tier application
  • Architecture HTTP Load Balancer
  • Health check and Use of instance group for auto-scaling
  • Cloud DNS
  • Monitoring metrics
  • Logging and monitoring observability
  • Alerting rules creation and notification
  • Alerting integrations
  • Concept of container and container orchestration
  • Managed Kubernetes definition and enterprise roles
  • GKE cluster components
  • GKE cluster creation
  • GKE cluster life cycle management
  • Application deployment
  • Application upgrade stratagies
  • Deployment, stateful set, ingress, and services
  • Cloud function
  • Cloud Run
  • Configure GCP Cloud Shel
  • Configure GCP Cloud SDK.Use gcloud and gsutil commands.
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