2.1 GCP Global Infrastructure

   - Regions, Zones, and Points of Presence (PoPs)

   - Understanding the GCP Network

   - Edge caching with Google Cloud CDN

2.2 GCP Identity and Access Management (IAM)

   - Managing users, groups, and service accounts

   - Security best practices for IAM

   - Role-based access control (RBAC)

2.3 GCP Compute Services

   - Google Compute Engine (GCE) instances

   - Autoscaling and Load Balancing

   - Serverless computing with Google Cloud Functions

3.1 Google Cloud Storage (GCS)

   - Object storage fundamentals

   - GCS storage classes and lifecycle policies

   - Security and access control in GCS

3.2 Google Cloud SQL and Cloud Spanner

   - Managed relational databases and globally distributed databases

   - High availability and scalability with Cloud SQL and Cloud Spanner

3.3 Other Storage Services

   - Google Cloud Bigtable for NoSQL databases

   - Google Cloud Filestore for managed file storage

4.1 Virtual Private Cloud (VPC)

   - VPC fundamentals: subnets, routes, firewalls

   - VPC peering and VPN connectivity

   - Hybrid cloud networking with Cloud Interconnect

4.2 Google Cloud Load Balancing

   - Global HTTP(S) Load Balancing

   - Internal TCP/UDP Load Balancing

   - Network Load Balancing for high-throughput applications

4.3 Google Cloud CDN and DNS

   - Content delivery network (CDN) fundamentals

   - Configuring Cloud CDN for caching static content

   - Managing DNS records with Google Cloud DNS

5.1 GCP Security Best Practices

   - Shared responsibility model

   - Data encryption at rest and in transit

   - Security monitoring and logging with Stackdriver

5.2 GCP Compliance Programs

   - Overview of compliance standards: PCI DSS, HIPAA, GDPR, etc.

   - Implementing compliance controls in GCP environments

   - Accessing compliance reports and certifications

5.3 Real-Time Scenario: Designing Secure and Compliant GCP Solutions

   - Architecting solutions that meet specific security and compliance requirements

   - Implementing encryption, access controls, and monitoring mechanisms

6.1 GCP Scalability Concepts

   - Horizontal vs. vertical scaling

   - Scalable architecture patterns: load balancing, caching, sharding

6.2 High Availability Architectures on GCP

   - Designing fault-tolerant applications

   - Multi-region architectures and disaster recovery

6.3 Real-Time Scenario: Designing Highly Scalable and Available GCP Solutions

   - Architecting solutions for high traffic and demanding workloads

   - Implementing auto-scaling, fault tolerance, and disaster recovery strategies

7.1 GCP Cost Management

   - Understanding GCP pricing models: Compute Engine, Cloud Storage, etc.

   - Cost allocation and billing

   - Cost optimization tools and recommendations

7.2 Cost Optimization Strategies

   - Right-sizing instances and services

   - Utilizing committed use discounts and sustained use discounts

   - Leveraging managed services for cost efficiency

7.3 Real-Time Scenario: Optimizing GCP Costs for a Business

   - Analyzing cost patterns and identifying optimization opportunities

   - Implementing cost-saving measures without compromising performance or reliability

8.1 Google Cloud BigQuery

   - Serverless, highly scalable data warehouse

   - Running SQL queries on large datasets

   - BigQuery ML for machine learning models

8.2 Google Cloud Dataflow and Dataproc

   - Managed stream and batch processing

   - Running Apache Spark and Hadoop clusters on GCP

8.3 Google Cloud AI and ML Services

   - Pre-trained machine learning models

   - AutoML for custom machine learning models

   - TensorFlow and AI Platform for deep learning

9.1 GCP Developer Tools

   - Cloud Source Repositories for version control

   - Cloud Build for continuous integration and delivery

   - Deployment Manager for infrastructure as code

9.2 Infrastructure as Code (IaC) with Terraform and Deployment Manager

   - Managing GCP resources declaratively

   - Creating reusable templates for infrastructure deployment

9.3 Real-Time Scenario: Implementing DevOps Practices in GCP Environments

   - Setting up automated build, test, and deployment pipelines

   - Managing infrastructure as code and automating deployment processes

10.1 GCP Migration Strategies

   - Lift-and-shift migration

   - Re-platforming and re-factoring

   - Hybrid cloud architectures with Anthos

10.2 GCP Migration Tools and Services

   - Migrating VMs with Migrate for Compute Engine

   - Data migration with Transfer Service

10.3 Real-Time Scenario: Planning and Executing a GCP Migration

   - Assessing current infrastructure and workloads

   - Developing a migration plan and timeline

   - Executing the migration with minimal downtime and risk