This course prepares learners for the Google Cloud Associate Cloud Engineer (v4/2025) certification by building hands-on skills in deploying, managing, and securing cloud resources. Students will explore compute, storage, networking, IAM, and monitoring services, while learning to apply Google Cloud best practices in real-world scenarios. The training combines guided instruction, live demos, and practical examples to ensure readiness for both the exam and day-to-day cloud operations.
Overview
Skills Learned
After completing this online training course, students will be able to:
Deploy and manage Google Cloud projects, billing accounts, and IAM policies
Launch and configure Compute Engine VMs, storage, and networking resources
Work with Kubernetes Engine (GKE) and Cloud Run for containerized workloads
Implement autoscaling, load balancing, and high-availability solutions
Configure monitoring, logging, and diagnostic tools for cloud environments
Secure cloud resources using IAM roles, service accounts, and OS Login
Automate infrastructure management with Terraform and Config Connector
Apply Google Cloud best practices to optimize performance and cost
- Individuals seeking the Associate Cloud Engineer certification
- Students interested in learning more about the Google Cloud Console
None
01. Cloud Projects and Accounts
- Resource Hierarchies
- Cloud Identity
- Cloud Asset Inventory
- Gemini Cloud Assist
- Google Cloud Observability
02. Billing Management
- Billing Accounts
- Billing Budgets and Alerts
- Billing Exports
03. Compute Resources
- Selecting the Right Resources
- Launching a Compute Engine Instance
- Compute Engine Storage
- Creating an Autoscaled Instance Group with an Instance Template
- Configuring OS Login
- Configuring VM Manager
- Using Spot VM Instances
- Using Custom Machine Types
- Installing the CLI for Kubernetes
- Deploying GKE Clusters
- Deploying a Containerized App to GKE
- Deploying Apps to Serverless Compute Platforms
04. Storage and Data Solutions
- Choosing the Right Data Product
- Choosing the Right Storage Product
- Cloud Storage Options
- Loading Data
- Maintaining Multi-region Redundancy
05. Networking Resources
- Creating a VPC
- Cloud NGFW Policies
- Establishing Network Connectivity
- Choosing and Deploying Load Balancers
- Network Service Tiers
06. Infrastructure as Code
- Fabric FAST
- Config Connector
- Terraform
- Helm
07. Managing Compute Resources
- Compute Engine
- GKE
- Cloud Run
08. Managing Storage and Data Solutions
- Cloud Storage
- Executing Queries
- Estimating Costs
- Backing Up and Restoring
- Reviewing Job Status
- Using Database Center to Manage the Google Cloud Database Fleet
09. Managing Networking Resources
- VPCs
- Cloud DNS
- Cloud NAT
10. Monitoring and Logging
- Cloud Monitoring
- Cloud Logging
- Using Cloud Diagnostics
- Personalized Service Health Dashboard
- Ops Agent
- Google Cloud Managed Service for Prometheus
- Configuring Audit Logs
- Gemini Cloud Assist for Cloud Monitoring
- Active Assist
11. Managing IAM
- IAM Policies
- IAM Roles
12. Managing Service Accounts
- Service Account Creation
- Management
SKILLS LEARNED
Skills Learned
After completing this online training course, students will be able to:
Deploy and manage Google Cloud projects, billing accounts, and IAM policies
Launch and configure Compute Engine VMs, storage, and networking resources
Work with Kubernetes Engine (GKE) and Cloud Run for containerized workloads
Implement autoscaling, load balancing, and high-availability solutions
Configure monitoring, logging, and diagnostic tools for cloud environments
Secure cloud resources using IAM roles, service accounts, and OS Login
Automate infrastructure management with Terraform and Config Connector
Apply Google Cloud best practices to optimize performance and cost
WHO SHOULD ATTEND
- Individuals seeking the Associate Cloud Engineer certification
- Students interested in learning more about the Google Cloud Console
PREREQUISITES
None
COURSE OUTLINE
01. Cloud Projects and Accounts
- Resource Hierarchies
- Cloud Identity
- Cloud Asset Inventory
- Gemini Cloud Assist
- Google Cloud Observability
02. Billing Management
- Billing Accounts
- Billing Budgets and Alerts
- Billing Exports
03. Compute Resources
- Selecting the Right Resources
- Launching a Compute Engine Instance
- Compute Engine Storage
- Creating an Autoscaled Instance Group with an Instance Template
- Configuring OS Login
- Configuring VM Manager
- Using Spot VM Instances
- Using Custom Machine Types
- Installing the CLI for Kubernetes
- Deploying GKE Clusters
- Deploying a Containerized App to GKE
- Deploying Apps to Serverless Compute Platforms
04. Storage and Data Solutions
- Choosing the Right Data Product
- Choosing the Right Storage Product
- Cloud Storage Options
- Loading Data
- Maintaining Multi-region Redundancy
05. Networking Resources
- Creating a VPC
- Cloud NGFW Policies
- Establishing Network Connectivity
- Choosing and Deploying Load Balancers
- Network Service Tiers
06. Infrastructure as Code
- Fabric FAST
- Config Connector
- Terraform
- Helm
07. Managing Compute Resources
- Compute Engine
- GKE
- Cloud Run
08. Managing Storage and Data Solutions
- Cloud Storage
- Executing Queries
- Estimating Costs
- Backing Up and Restoring
- Reviewing Job Status
- Using Database Center to Manage the Google Cloud Database Fleet
09. Managing Networking Resources
- VPCs
- Cloud DNS
- Cloud NAT
10. Monitoring and Logging
- Cloud Monitoring
- Cloud Logging
- Using Cloud Diagnostics
- Personalized Service Health Dashboard
- Ops Agent
- Google Cloud Managed Service for Prometheus
- Configuring Audit Logs
- Gemini Cloud Assist for Cloud Monitoring
- Active Assist
11. Managing IAM
- IAM Policies
- IAM Roles
12. Managing Service Accounts
- Service Account Creation
- Management
