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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
Testimonials (2)
All of the training was great. Especially liked the training documentation to reference. Looking forward to the Advanced Training, when we are ready.
Amy Gregg - Qualfon
Course - Boomi Integration Fundamentals
I've find out new interesting things about Lambda and Serverless