Get Started with Google Cloud Platform (GCP) Mastery (Beginner to Advanced)

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Programming

Google Cloud Platform (GCP) Mastery (Beginner to Advanced)

Comprehensive Google Cloud training from fundamentals to enterprise architecture. Covers cloud concepts, IAM, networking, Compute Engine, storage, databases, serverless, GKE, DevOps, BigQuery, data engineering, Vertex AI, security, migration, cost optimization, and production-ready architecture design aligned with Google Cloud certifications.

  • 12 Months Duration
  • 30 Modules
  • Free Access
Course fee Free enrollment

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Learning path

Course Modules

Work through each module and pass quizzes to unlock the next step in your journey.

Module 1 Locked

Introduction to Cloud Computing and Google Cloud

Build a strong foundation in cloud computing concepts, service models, and Google Cloud global infrastructure.

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Learning objectives
  • • Define cloud computing and its core characteristics
  • • Compare IaaS, PaaS, and SaaS service models
  • • Explain public, private, hybrid, and multi-cloud deployment models
  • • Identify key benefits of cloud adoption
  • • Understand GCP as a leading cloud provider
  • • Explore Google regions, zones, and edge locations
Module 2 Locked

Getting Started with Google Cloud

Set up and manage Google Cloud accounts using the console, Cloud Shell, gcloud CLI, and billing controls.

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Learning objectives
  • • Create and secure a Google Cloud account
  • • Understand projects, folders, and organizations
  • • Navigate the Google Cloud Console
  • • Use Cloud Shell for interactive management
  • • Install and use the gcloud CLI
  • • Monitor billing and manage account settings
Module 3 Locked

Identity and Access Management (IAM)

Master Google Cloud IAM for secure identity, access control, and organization-wide governance.

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Learning objectives
  • • Explain IAM concepts and the security model
  • • Create and manage users, groups, and service accounts
  • • Assign predefined and custom roles
  • • Write and apply IAM policies
  • • Enforce constraints with organization policies
  • • Apply IAM security best practices
Module 4 Locked

Google Cloud Networking Fundamentals

Design secure and scalable network architectures using VPC, routing, firewall rules, and Cloud NAT.

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Learning objectives
  • • Apply core networking concepts in GCP
  • • Build and configure VPC networks
  • • Plan subnets and IP addressing
  • • Configure routes and firewall rules
  • • Enable outbound internet access with Cloud NAT
  • • Design foundational network topologies
Module 5 Locked

Compute Engine

Deploy and manage scalable virtual machines with Compute Engine, disks, and instance groups.

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Learning objectives
  • • Understand Compute Engine fundamentals
  • • Work with VM instances and images
  • • Select appropriate machine types and families
  • • Create, connect to, and manage VM instances
  • • Attach and manage persistent disks
  • • Use instance groups and templates for scale
Module 6 Locked

Storage Services

Choose and implement the right Google Cloud storage services for object, block, and file workloads.

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Learning objectives
  • • Create and manage Cloud Storage buckets and objects
  • • Select storage classes for cost and performance
  • • Configure object lifecycle management rules
  • • Use persistent disks for VM storage
  • • Deploy shared file storage with Filestore
  • • Implement backup and data protection strategies
Module 7 Locked

Databases on Google Cloud

Evaluate and deploy relational, NoSQL, and globally distributed databases on Google Cloud.

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Learning objectives
  • • Understand relational vs NoSQL database models
  • • Provision and manage Cloud SQL instances
  • • Explore Cloud Spanner for global consistency
  • • Model and query data in Firestore
  • • Use Bigtable for large-scale NoSQL workloads
  • • Select the right database for workload requirements
Module 8 Locked

Load Balancing and High Availability

Build highly available applications using load balancers, managed instance groups, and autoscaling.

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Learning objectives
  • • Explain high availability and fault tolerance
  • • Configure global HTTP(S) load balancing
  • • Route traffic with regional load balancers
  • • Deploy workloads with managed instance groups
  • • Configure autoscaling policies
  • • Design resilient multi-tier systems
Module 9 Locked

DNS and Traffic Management

Manage domains and DNS routing with Cloud DNS for reliable global traffic delivery.

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Learning objectives
  • • Understand DNS records and resolution
  • • Create and manage Cloud DNS zones and records
  • • Configure domain settings for GCP services
  • • Apply traffic routing policies
  • • Configure health checks for endpoints
  • • Design global traffic distribution strategies
Module 10 Locked

Monitoring and Logging

Implement observability with Cloud Monitoring, Logging, alerting, and distributed tracing.

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Learning objectives
  • • Use Cloud Monitoring for operational visibility
  • • Centralize logs with Cloud Logging
  • • Build metrics dashboards for key services
  • • Create alerting policies for proactive response
  • • Trace requests with Cloud Trace
  • • Apply observability best practices
Module 11 Locked

Security Fundamentals

Secure Google Cloud workloads using foundational security services and the shared responsibility model.

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Learning objectives
  • • Explain Google Cloud security architecture
  • • Apply cloud security best practices
  • • Encrypt data with Cloud KMS
  • • Manage secrets with Secret Manager
  • • Monitor threats with Security Command Center
  • • Understand shared responsibility boundaries
Module 12 Locked

Application Integration Services

Build decoupled, event-driven systems using Pub/Sub, Workflows, Cloud Tasks, and Eventarc.

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Learning objectives
  • • Publish and subscribe with Cloud Pub/Sub
  • • Design event-driven architectures
  • • Orchestrate workflows with Workflows
  • • Queue asynchronous tasks with Cloud Tasks
  • • Route events using Eventarc
  • • Apply messaging and integration patterns
Module 13 Locked

Serverless Computing

Develop serverless applications with Cloud Functions, Cloud Run, App Engine, and event-driven patterns.

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Learning objectives
  • • Understand serverless benefits and trade-offs
  • • Deploy functions with Cloud Functions
  • • Run containerized apps with Cloud Run
  • • Build web apps on App Engine
  • • Create event-driven serverless workflows
  • • Apply serverless operational best practices
Module 14 Locked

Containers and Kubernetes

Containerize and orchestrate applications using Docker and Google Kubernetes Engine (GKE).

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Learning objectives
  • • Understand container concepts and benefits
  • • Build and run Docker images
  • • Provision and manage GKE clusters
  • • Understand Kubernetes control plane and nodes
  • • Deploy applications to GKE
  • • Scale containerized workloads efficiently
Module 15 Locked

Infrastructure as Code

Automate infrastructure provisioning with Deployment Manager, Terraform, and IaC workflows.

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Learning objectives
  • • Explain IaC principles and benefits
  • • Create resources with Deployment Manager
  • • Provision GCP resources with Terraform
  • • Manage infrastructure through version-controlled code
  • • Automate environment provisioning
  • • Apply IaC review and governance practices
Module 16 Locked

DevOps on Google Cloud

Implement CI/CD pipelines on Google Cloud using Cloud Build, Artifact Registry, and Cloud Deploy.

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Learning objectives
  • • Understand DevOps culture and practices
  • • Build artifacts with Cloud Build
  • • Store images and packages in Artifact Registry
  • • Automate releases with Cloud Deploy
  • • Orchestrate end-to-end CI/CD pipelines
  • • Apply DevOps security and quality gates
Module 17 Locked

Content Delivery and Performance

Accelerate global content delivery with Cloud CDN, caching strategies, and performance optimization.

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Learning objectives
  • • Understand CDN architecture and benefits
  • • Distribute content with Cloud CDN
  • • Design effective caching strategies
  • • Optimize application and network performance
  • • Leverage edge networking capabilities
  • • Deliver applications globally with low latency
Module 18 Locked

BigQuery Fundamentals

Analyze data at scale using BigQuery for warehousing, SQL analytics, and cost-efficient queries.

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Learning objectives
  • • Understand BigQuery architecture and use cases
  • • Apply data warehousing concepts on GCP
  • • Load and query large datasets
  • • Write SQL for analytics in BigQuery
  • • Use analysis techniques for business insights
  • • Optimize BigQuery costs and performance
Module 19 Locked

Data Engineering on Google Cloud

Build data pipelines with Dataflow, Dataproc, Data Fusion, and ETL/ELT patterns.

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Learning objectives
  • • Understand data engineering roles and workflows
  • • Process batch and stream data with Dataflow
  • • Run Spark and Hadoop workloads on Dataproc
  • • Build visual pipelines with Data Fusion
  • • Design reliable data pipelines
  • • Apply ETL and ELT architecture patterns
Module 20 Locked

Big Data and Streaming Analytics

Architect big data and streaming analytics solutions on Google Cloud.

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Learning objectives
  • • Design scalable big data architectures
  • • Ingest streaming data with Pub/Sub
  • • Build real-time analytics pipelines
  • • Implement data lake architectures on GCP
  • • Choose appropriate data processing strategies
  • • Apply analytics governance best practices
Module 21 Locked

Artificial Intelligence and Machine Learning

Build intelligent applications using Vertex AI, generative AI, and managed ML services.

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Learning objectives
  • • Understand AI/ML service categories on GCP
  • • Train and manage models with Vertex AI
  • • Use generative AI capabilities on Google Cloud
  • • Prepare data and train ML models
  • • Deploy models to production endpoints
  • • Design end-to-end AI application workflows
Module 22 Locked

Advanced Security and Governance

Implement enterprise security, governance, and compliance across Google Cloud organizations.

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Learning objectives
  • • Manage organizations, folders, and projects
  • • Understand the GCP resource hierarchy
  • • Use Security Command Center for threat detection
  • • Map controls to compliance requirements
  • • Enforce policies across the organization
  • • Apply enterprise security strategies
Module 23 Locked

Hybrid and Multi-Cloud Solutions

Connect on-premises and multi-cloud environments with Anthos and hybrid connectivity patterns.

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Learning objectives
  • • Explain hybrid and multi-cloud drivers
  • • Understand Anthos for hybrid management
  • • Evaluate multi-cloud architecture strategies
  • • Establish hybrid connectivity options
  • • Modernize applications for cloud and hybrid deployment
  • • Apply enterprise integration patterns
Module 24 Locked

Disaster Recovery and Business Continuity

Design disaster recovery and business continuity strategies for mission-critical workloads on GCP.

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Learning objectives
  • • Define RTO, RPO, and DR tiers
  • • Implement backup and restore strategies
  • • Deploy multi-region resilient architectures
  • • Replicate data across regions
  • • Create and test recovery plans
  • • Design business continuity solutions
Module 25 Locked

Cost Optimization and FinOps

Optimize Google Cloud spending with pricing models, budgets, and FinOps practices.

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Learning objectives
  • • Understand on-demand and committed pricing models
  • • Analyze spend with billing reports
  • • Set budgets and alerts for cost control
  • • Right-size and optimize resources
  • • Use committed use discounts strategically
  • • Apply FinOps cost accountability practices
Module 26 Locked

Advanced Networking

Design advanced enterprise networks with Shared VPC, peering, Interconnect, and VPN.

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Learning objectives
  • • Share VPC networks across projects with Shared VPC
  • • Connect VPCs with VPC peering
  • • Establish dedicated connectivity with Cloud Interconnect
  • • Secure site-to-site access with Cloud VPN
  • • Monitor networks with Network Intelligence Center
  • • Design scalable enterprise network architectures
Module 27 Locked

Cloud Architecture Design

Apply the Google Cloud Architecture Framework to design production-grade cloud systems.

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Learning objectives
  • • Use the architecture framework review process
  • • Improve reliability and fault tolerance
  • • Strengthen security architecture
  • • Optimize performance for workloads
  • • Reduce cost without sacrificing quality
  • • Build operational excellence into designs
Module 28 Locked

Migration to Google Cloud

Plan and execute cloud migrations using Google Cloud migration tools and proven strategies.

Enroll in this course to access modules.

Learning objectives
  • • Understand cloud migration drivers and phases
  • • Select appropriate migration strategies
  • • Migrate databases to managed services
  • • Move applications to GCP
  • • Use Migrate for Compute Engine for VM migrations
  • • Build detailed migration plans and runbooks
Module 29 Locked

Real-World GCP Architectures

Study production architecture patterns for web, microservices, serverless, analytics, and SaaS workloads.

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Learning objectives
  • • Design scalable web application stacks
  • • Architect microservices on Google Cloud
  • • Build serverless application architectures
  • • Model data analytics platform designs
  • • Design multi-tenant SaaS solutions
  • • Apply enterprise cloud architecture patterns
Module 30 Locked

Google Cloud Professional Mastery

Consolidate professional GCP skills for architecture, security, data, DevOps, and certification readiness.

Enroll in this course to access modules.

Learning objectives
  • • Apply Cloud Architect design best practices
  • • Implement security engineering controls for production
  • • Build reliable data engineering pipelines
  • • Integrate DevOps practices into GCP delivery
  • • Design production-ready, observable systems
  • • Plan a Google Cloud career and certification path
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