Google Cloud Platform
Course Description:
The Google Cloud Platform (GCP) Course Training provides a comprehensive learning experience in cloud computing, networking, security, DevOps, AI/ML, and serverless technologies using Google Cloud. This course covers core GCP services, including Compute Engine, Kubernetes Engine (GKE), Cloud Storage, BigQuery, and IAM, while also focusing on CI/CD automation, cost optimization, and best practices. Designed for beginners and IT professionals, it equips learners with hands-on experience to deploy, manage, and scale applications in the cloud. Additionally, the course prepares participants for Google Cloud certifications (ACE, PCA, PCD, PDE, etc.), helping them advance their careers in cloud computing.
Why Choose our Google Cloud Platform Certification?
Comprehensive & Hands-On Learning – Gain practical experience with real-world projects, labs, and case studies.
Expert-Led Live & Self-Paced Training – Learn from certified GCP professionals with real-world expertise.
Certification-Focused Curriculum – Covers Associate Cloud Engineer (ACE), Professional Cloud Architect (PCA), and other GCP certifications with mock tests & exam prep.
Job Assistance & Career Support – Get resume building, interview prep, and job placement support.
Flexible Learning Options – Choose between weekend, weekday, and self-paced learning with lifetime access to materials.
Industry-Recognized Training – Gain skills demanded by top tech companies and enterprises worldwide.
Who Should Enroll?
IT professionals, Developers, and Cloud Enthusiasts.
System Administrators & Network Engineers moving to the cloud.
Beginners looking to start a career in cloud computing.
Business owners & decision-makers exploring cloud migration.
What you will Learn?
Our Google Cloud Platform (GCP) Training equips you with the knowledge and skills needed to design, deploy, and manage cloud applications using Google Cloud services. This course is designed for beginners and IT professionals looking to master cloud computing, security, DevOps, AI/ML, and networking on GCP.
Cloud Computing & GCP Fundamentals
Understanding Cloud Computing (IaaS, PaaS, SaaS)
Overview of Google Cloud architecture & core services
Setting up a GCP account & navigating the Google Cloud Console
2️ GCP Compute & Storage Services
Compute Services: Compute Engine (VMs), Kubernetes Engine (GKE), App Engine
Storage Services: Cloud Storage, Persistent Disks, Filestore, Bigtable
Database Services: Cloud SQL, Firestore, Spanner, BigQuery
3️ Networking & Security in GCP
Networking: Virtual Private Cloud (VPC), Load Balancing, Cloud CDN, Hybrid Connectivity
Security & Identity Management: IAM, Cloud Identity, Security Command Center
Compliance & Governance: Cloud Key Management, Policies, Auditing.
GCP Cloud Engineer Project Life Cycle
Phase 1: Planning & Architecture Design
Understand business requirements and select the right GCP services (Compute Engine, Cloud Storage, BigQuery, Cloud Functions). Design a scalable architecture with best practices, including IAM roles, VPC networking, and high availability.
Phase 2: Deployment & Automation
Deploy infrastructure using Terraform or Deployment Manager. Configure virtual machines, Kubernetes (GKE), databases, and networking. Automate CI/CD pipelines with Cloud Build and implement autoscaling and load balancing for efficiency.
Phase 3: Monitoring & Optimization
Monitor cloud performance using Cloud Monitoring, Cloud Logging, and Security Command Center. Optimize costs with GCP’s cost management tools. Ensure compliance, security, and disaster recovery readiness with backup solutions and policy enforcement.