Course Overview
This course provides in-depth knowledge and hands-on skills to design, deploy, secure, and manage scalable solutions on Google Cloud Platform. Learners will gain practical experience with advanced GCP services, architecture design, networking, security, data, and operations. The course aligns with Google Professional certifications and prepares learners for real-world enterprise cloud environments.
Course Content
Module 1: GCP Architecture & Core Concepts
GCP global infrastructure (regions, zones, multi-region)
Projects, folders, and organizations
Resource hierarchy and quotas
Shared responsibility model
Module 2: Identity, Access & Security
Advanced IAM roles and policies
Service accounts and workload identity
Organization policies
Cloud KMS and Secret Manager
Security best practices
Module 3: Compute Services (Advanced)
Compute Engine (custom machine types)
Managed instance groups & autoscaling
App Engine (Standard & Flexible)
Cloud Functions and Cloud Run
Containerized workloads overview
Module 4: Networking & Connectivity
VPC architecture (global VPC)
Subnets, routes, and firewall rules
Load balancing (HTTP(S), TCP/UDP)
Cloud VPN & Cloud Interconnect
Network security design
Module 5: Storage & Data Services
Cloud Storage design and lifecycle policies
Persistent Disk and Filestore
Cloud SQL and AlloyDB
Firestore and Bigtable
Data service selection strategies
Module 6: Containers & Kubernetes
Kubernetes fundamentals
Google Kubernetes Engine (GKE)
Cluster design and security
Workload deployment and scaling
GKE networking and storage
Module 7: Data, Analytics & AI (Overview)
BigQuery architecture and use cases
Dataflow and Dataproc overview
Pub/Sub messaging
Introduction to AI/ML services
Module 8: Monitoring, Logging & Operations
Cloud Monitoring & Logging
Error reporting and tracing
SRE principles overview
Performance and reliability optimization
Module 9: Automation & Infrastructure as Code
Deployment Manager overview
Terraform with GCP
CI/CD pipeline basics
Automation best practices
Module 10: Cost Management & Optimization
GCP pricing models
Billing accounts and budgets
Cost optimization techniques
Resource utilization analysis
Module 11: High Availability & Disaster Recovery
Multi-zone and multi-region design
Backup and restore strategies
DR planning and execution
Business continuity design
Module 12: Security, Compliance & Governance
Compliance programs and audits
Data protection and privacy
Security Command Center (advanced)
Governance best practices
Module 13: Real-World Architecture & Case Studies
Enterprise cloud architecture patterns
Hybrid and multi-cloud design
Migration strategies
Performance and security trade-offs
Module 14: Capstone Project & Exam Readiness
End-to-end GCP solution design
Architecture documentation
Professional certification exam preparation
Course Outcomes
By the end of this course, learners will be able to:
– Design secure, scalable, and highly available solutions on GCP
– Implement advanced compute, networking, and storage architectures
– Deploy and manage containerized workloads using GKE
– Apply IAM, security, and governance best practices
– Monitor, optimize, and troubleshoot GCP environments
– Automate infrastructure using Infrastructure as Code
– Implement cost-optimized and resilient cloud solutions
– Architect enterprise-grade GCP environments
– Confidently prepare for Google Cloud Professional certifications
