Section outline

• Select section Day 1: Introduction to Google Cloud and Core Services (7 Hours)

  Day 1: Introduction to Google Cloud and Core Services (7 Hours)

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  Module 1: Overview of Cloud Computing (2 hours)

  • Definition and cloud service models: IaaS, PaaS, SaaS.
  • Benefits of cloud adoption.

  Module 2: Introduction to GCP (2 hours)

  • GCP architecture and global infrastructure.
  • Setting up a GCP account and using the console.

  Module 3: Compute Services (3 hours)

  • Compute Engine: VMs, instances, and images.
  • App Engine: Serverless application hosting.
  • Google Kubernetes Engine (GKE): Basics of containers and Kubernetes.
• Select section Day 2: Storage and Databases on GCP (7 Hours)

  Day 2: Storage and Databases on GCP (7 Hours)

  Module 4: Cloud Storage and Data Management (4 hours)

  • Cloud Storage: Buckets, objects, and access control.
  • Persistent Disk and Filestore.

  Module 5: Database Services (3 hours)

  • Cloud SQL, Cloud Spanner, and BigQuery.
  • Managing relational and NoSQL databases on GCP.
• Select section Day 3: Networking and Security on GCP (7 Hours)

  Day 3: Networking and Security on GCP (7 Hours)

  Module 6: Networking on GCP (4 hours)

  • Virtual Private Cloud (VPC), subnets, and IP ranges.
  • Load balancing and auto-scaling.
  • Cloud CDN and Cloud DNS.

  Module 7: Security Best Practices (3 hours)

  • IAM (Identity and Access Management).
  • Key Management Service (KMS).
  • Best practices for securing GCP environments.
• Select section Day 4: DevOps and Automation on GCP (7 Hours)

  Day 4: DevOps and Automation on GCP (7 Hours)

  Module 8: DevOps on Google Cloud (4 hours)

  • CI/CD concepts and best practices.
  • Cloud Build for continuous integration.
  • Container Registry and Artifact Registry.

  Module 9: Infrastructure Automation (3 hours)

  • Cloud Deployment Manager for infrastructure as code.
  • Using Terraform for cloud resource automation.
• Select section Day 5: Advanced Topics and Machine Learning (7 Hours)

  Day 5: Advanced Topics and Machine Learning (7 Hours)

  Module 10: Monitoring and Management (2 hours)

  • Stackdriver for monitoring and logging.
  • Cloud Operations Suite.

  Module 11: Introduction to Machine Learning on GCP (3 hours)

  • Cloud AI, AutoML, and Vertex AI.
  • Building and deploying ML models on GCP.

  Module 12: Final Project and Review (2 hours)

  • Hands-on capstone project integrating key concepts.
  • Review of major topics and Q&A session.