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Course Outline

Introduction to Google Cloud Platform

  • Overview of Google Cloud Platform and its global infrastructure
  • Understanding cloud computing models and core GCP services
  • Navigating the Google Cloud Console, Cloud Shell, and Cloud SDK

Compute Services and Application Deployment

  • Creating and managing virtual machines with Compute Engine
  • Deploying containerized applications with Google Kubernetes Engine (GKE)
  • Using Cloud Run and App Engine for serverless deployments

Storage and Database Services

  • Managing Cloud Storage classes and lifecycle policies
  • Deploying and administering Cloud SQL, Cloud Spanner, and AlloyDB
  • Using Firestore and Bigtable for NoSQL workloads

Networking and Connectivity

  • Configuring Virtual Private Cloud (VPC) networks and subnets
  • Managing firewall rules, Cloud DNS, and Cloud NAT
  • Implementing Cloud Load Balancing, Cloud CDN, and hybrid connectivity

Identity, Security, and Resource Management

  • Managing IAM roles, service accounts, and organization policies
  • Securing resources using Identity-Aware Proxy (IAP) and Secret Manager
  • Managing projects, folders, labels, and resource hierarchy

Billing and Cost Management

  • Configuring Cloud Billing accounts and budgets
  • Creating billing alerts and monitoring costs
  • Exporting billing data for reporting and cost optimization

Infrastructure Automation and Operations

  • Provisioning infrastructure with Terraform
  • Automating deployments using Cloud Build and CI/CD pipelines
  • Managing resources with Infrastructure as Code best practices

Monitoring, Logging, and Troubleshooting

  • Using Cloud Monitoring and Cloud Logging
  • Configuring dashboards, alerts, and uptime checks
  • Troubleshooting common compute, networking, and storage issues

Google Cloud AI Services

  • Introduction to Vertex AI and generative AI capabilities
  • Using pre-trained AI APIs for vision, language, speech, and translation
  • Understanding responsible AI practices and common AI use cases

Exam Preparation and Best Practices

  • Reviewing the Associate Cloud Engineer exam domains
  • Practicing deployment, networking, security, and operational tasks
  • Completing sample questions and mock exams

Summary and Next Steps

Requirements

Prerequisites

  • Basic understanding of cloud computing concepts
  • Experience using the Linux command-line interface
  • Familiarity with networking, virtualization, and system administration fundamentals
  • Basic knowledge of containers and application deployment is beneficial but not required

Audience

  • IT professionals preparing for the Google Certified Associate Cloud Engineer certification
  • Cloud engineers, system administrators, and DevOps engineers working with Google Cloud
  • Developers and platform engineers deploying and managing applications on Google Cloud
  • Infrastructure and operations professionals responsible for cloud administration, automation, and monitoring
 35 Hours

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