Home / Training / Google Cloud Platform (GCP)

Training

Google Cloud Platform (GCP)

Master Google's cloud infrastructure with comprehensive training on compute, storage, data analytics, and Kubernetes services powered by Google's global network.

Beginner to Intermediate 10+ Core Topics

Overview

Google Cloud Platform (GCP) provides a suite of cloud computing services running on the same infrastructure that Google uses internally for its end-user products. GCP offers services for compute, storage, networking, big data, machine learning, and IoT, with strengths in data analytics and Kubernetes-native workloads.

Compute Services

GCP offers flexible compute options from traditional VMs to serverless computing and managed container orchestration.

  • Compute Engine - Virtual machines with custom machine types and preemptible instances
  • Google Kubernetes Engine (GKE) - Managed Kubernetes with autopilot mode
  • App Engine - Platform as a Service for application deployment
  • Cloud Functions - Serverless event-driven compute
  • Cloud Run - Fully managed serverless containers
# Create a GKE Autopilot cluster gcloud container clusters create-auto my-cluster \ --region=us-central1 \ --project=my-project # Deploy an application to Cloud Run gcloud run deploy my-service \ --image=gcr.io/my-project/my-image \ --platform=managed \ --region=us-central1 \ --allow-unauthenticated # Create a Compute Engine instance gcloud compute instances create my-vm \ --zone=us-central1-a \ --machine-type=e2-medium \ --image-family=debian-11 \ --image-project=debian-cloud

Storage & Database Services

GCP provides a comprehensive set of storage and database services for different data types and access patterns.

  • Cloud Storage - Object storage with multiple storage classes
  • Persistent Disk - Block storage for VMs (SSD and HDD)
  • Cloud SQL - Managed MySQL, PostgreSQL, and SQL Server
  • Cloud Spanner - Globally distributed relational database
  • Firestore - NoSQL document database for web and mobile

Data Analytics & BigQuery

GCP excels in data analytics with BigQuery leading as a serverless, highly scalable data warehouse.

  • BigQuery - Serverless data warehouse with SQL analytics
  • Dataflow - Stream and batch data processing (Apache Beam)
  • Dataproc - Managed Spark and Hadoop clusters
  • Pub/Sub - Real-time messaging and event streaming
-- BigQuery Example: Analyze web traffic SELECT DATE(timestamp) as date, COUNT(*) as page_views, COUNT(DISTINCT user_id) as unique_visitors, AVG(session_duration) as avg_session_seconds FROM `project.dataset.web_events` WHERE timestamp >= TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 30 DAY) GROUP BY date ORDER BY date DESC;

Networking

GCP's networking leverages Google's global fiber network for low-latency and high-performance connectivity.

  • VPC - Virtual Private Cloud with global scope
  • Cloud Load Balancing - Global and regional load balancing
  • Cloud CDN - Content delivery network
  • Cloud Interconnect - Dedicated connectivity to GCP

Security & Identity

Implement robust security with GCP's identity and access management services.

  • IAM - Identity and Access Management with fine-grained policies
  • Cloud KMS - Key Management Service for encryption
  • Secret Manager - Secure secret storage and access
  • Security Command Center - Security and risk management

GCP Certification Path

This training prepares you for Google Cloud certifications.

  • Cloud Digital Leader (Foundational)
  • Associate Cloud Engineer
  • Professional Cloud Architect
  • Professional Data Engineer

Want this training for your team?

I deliver hands-on sessions tailored to your stack, level and goals.