Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Google Cloud Platform
- Overview of the Google Cloud Platform and its global infrastructure architecture.
- Exploring cloud computing models and the core services offered by GCP.
- Essential navigation of 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 with Google Kubernetes Engine (GKE).
- Implementing serverless deployments using Cloud Run and App Engine.
Storage and Database Services
- Managing Cloud Storage classes and defining 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.
- Organizing projects, folders, labels, and the resource hierarchy.
Billing and Cost Management
- Configuring Cloud Billing accounts and setting up budgets.
- Creating billing alerts and tracking costs effectively.
- Exporting billing data for detailed reporting and cost optimization.
Infrastructure Automation and Operations
- Provisioning infrastructure using Terraform.
- Automating deployments with Cloud Build and CI/CD pipelines.
- Applying Infrastructure as Code best practices for resource management.
Monitoring, Logging, and Troubleshooting
- Leveraging Cloud Monitoring and Cloud Logging for observability.
- Configuring dashboards, alerts, and uptime checks.
- Diagnosing and resolving common issues related to compute, networking, and storage.
Google Cloud AI Services
- Introduction to Vertex AI and generative AI capabilities.
- Utilizing pre-trained AI APIs for vision, language, speech, and translation tasks.
- Understanding responsible AI practices and common application use cases.
Exam Preparation and Best Practices
- Reviewing the key domains of the Associate Cloud Engineer exam.
- Practicing deployment, networking, security, and operational tasks.
- Completing sample questions and mock exams to assess readiness.
Summary and Next Steps
Requirements
Prerequisites
- A solid grasp of fundamental cloud computing concepts.
- Proficiency with the Linux command-line interface.
- Familiarity with networking, virtualization, and core system administration principles.
- Basic knowledge of containers and application deployment is advantageous, though not mandatory.
Target Audience
- IT professionals preparing for the Google Certified Associate Cloud Engineer certification.
- Cloud engineers, system administrators, and DevOps specialists working within the Google Cloud ecosystem.
- Developers and platform engineers responsible for deploying and managing applications on Google Cloud.
- Infrastructure and operations professionals tasked with 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
I've find out new interesting things about Lambda and Serverless
