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Course Outline

Google Cloud Platform Overview

  • Fundamentals of Google Cloud Platform and its worldwide infrastructure
  • Cloud computing models and essential GCP services for government operations
  • Utilizing the Google Cloud Console, Cloud Shell, and Cloud SDK

Compute Services and Application Deployment

  • Provisioning and managing virtual machine instances with Compute Engine
  • Deploying containerized applications using Google Kubernetes Engine (GKE)
  • Implementing serverless solutions with Cloud Run and App Engine

Storage and Database Services

  • Configuring Cloud Storage classes and lifecycle management policies
  • Administering Cloud SQL, Cloud Spanner, and AlloyDB
  • Leveraging Firestore and Bigtable for NoSQL data requirements

Networking and Connectivity

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

Identity, Security, and Resource Management

  • Configuring IAM roles, service accounts, and organization policies for government access control
  • Securing resources through Identity-Aware Proxy (IAP) and Secret Manager
  • Organizing projects, folders, labels, and resource hierarchies

Billing and Cost Management

  • Setting up Cloud Billing accounts and budget constraints
  • Establishing billing alerts and monitoring expenditure trends
  • Exporting billing data for reporting and cost optimization strategies

Infrastructure Automation and Operations

  • Provisioning infrastructure resources with Terraform
  • Automating deployments via Cloud Build and CI/CD pipelines for government systems
  • Adopting Infrastructure as Code best practices for resource management

Monitoring, Logging, and Troubleshooting

  • Utilizing Cloud Monitoring and Cloud Logging services
  • 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 for government use cases
  • Accessing pre-trained AI APIs for vision, language, speech, and translation
  • Understanding responsible AI practices and applicable AI scenarios

Exam Preparation and Best Practices

  • Reviewing the Associate Cloud Engineer exam domains relevant to government roles
  • Practicing deployment, networking, security, and operational tasks
  • Completing sample questions and mock exams for certification readiness

Summary and Next Steps

Requirements

Prerequisites

  • Fundamental knowledge of cloud computing principles
  • Proficiency in utilizing the Linux command-line interface
  • Understanding of networking protocols, virtualization technologies, and core system administration practices
  • Awareness of containerization and application deployment methodologies is advantageous but not mandatory

Target Audience

  • Information technology personnel pursuing the Google Certified Associate Cloud Engineer credential
  • Cloud infrastructure specialists, system administrators, and DevOps practitioners engaged with Google Cloud environments
  • Software developers and platform engineers managing application deployment within Google Cloud ecosystems
  • Infrastructure and operations staff tasked with cloud administration, automated processes, and system monitoring for government applications
 35 Hours

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