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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
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
The friendliness while learning
Didier Matagne - Agence du Numerique
Course - AWS Lambda for Developers
Machine Translated
