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 Duration 35 hours

Course Outline

Introduction to Google Cloud Platform

  • Overview of the Google Cloud Platform and its global infrastructure
  • Exploration of 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 via Compute Engine
  • Deploying containerized applications using Google Kubernetes Engine (GKE)
  • Leveraging 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
  • Utilizing 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 solutions

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 the resource hierarchy

Billing and Cost Management

  • Configuring Cloud Billing accounts and budgets
  • Setting up billing alerts and tracking costs
  • Exporting billing data for reporting and cost optimization

Infrastructure Automation and Operations

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

Monitoring, Logging, and Troubleshooting

  • Utilizing Cloud Monitoring and Cloud Logging
  • Configuring dashboards, alerts, and uptime checks
  • Diagnosing 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 domains of the Associate Cloud Engineer exam
  • Practicing deployment, networking, security, and operational tasks
  • Completing sample questions and mock exams

Summary and Next Steps

Requirements

Prerequisites

  • Fundamental comprehension of cloud computing principles
  • Practical experience with the Linux command-line interface
  • Working knowledge of networking, virtualization, and system administration basics
  • Basic understanding of containers and application deployment, though not strictly mandatory

Target Audience

  • IT specialists preparing for the Google Certified Associate Cloud Engineer examination
  • Cloud engineers, system administrators, and DevOps professionals engaged with Google Cloud
  • Developers and platform engineers responsible for deploying and managing applications on Google Cloud
  • Infrastructure and operations specialists charged with cloud administration, automation, and monitoring

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