GCIAPGOGoogleGO-GCIAP1.0<p>What you&rsquo;ll learn:</p> <ul> <li>Explain best practices for the Google Cloud solutions that incorporate resources and access management in Google Cloud.</li><li>Implement Google Cloud networks by using best practices for Cloud virtual private network (VPN), Virtual Private Cloud (VPC), and Google Cloud Firewall.</li><li>Create and customize virtual machine (VM) instances by using Compute Engine.</li><li>Configure load balancers and autoscaling for VM instances.</li><li>Implement data storage services in Google Cloud.</li><li>Design a solution by using Google Kubernetes Engine (GKE) for deploying applications in Google Cloud.</li><li>Examine best practices for the deployment and monitoring of Google Cloud infrastructure.</li><li>Identify the purpose of and use cases for Cloud Run.</li></ul><p>Familiarity with Azure terms and concepts</p><p>Cloud Architects or Cloud Engineers who are experienced with Azure cloud.</p><ul> <li>Resource and Access Management in Google Cloud</li><li>Networking in Google Cloud</li><li>Virtual Machines in Google Cloud</li><li>Load Balancing and Managed Instance Groups on Google Cloud</li><li>Storage in Google Cloud</li><li>Containers in Google Cloud</li><li>Applications in Google Cloud</li><li>Monitoring in Google Cloud</li></ul><h5>Module 1: Resource and Access Management in Google Cloud</h5><ul> <li>Google Cloud Resource Hierarchy</li><li>Identity and Access Management</li><li>Service Accounts</li><li>Interacting with Google Cloud</li><li>Lab: Exploring Identity and Access Management</li></ul><h5>Module 2: Networking in Google Cloud</h5><ul> <li>Networking Concepts in Azure and Google Cloud</li><li>Virtual Private Cloud Networking</li><li>Lab: VPC Networking</li><li>Cloud Routing</li><li>Interconnecting Networks</li><li>Lab: Implement Private Google Access and Cloud NAT</li></ul><h5>Module 3: Virtual Machines in Google Cloud</h5><ul> <li>Google Compute Engine</li><li>Machine Types and Images</li><li>Spot VMs</li><li>Lab: Getting Started with Compute Engine</li></ul><h5>Module 4: Load Balancing and Managed Instance Groups on Google Cloud</h5><ul> <li>Load Balancing in Azure and Google Cloud</li><li>Cloud Load Balancing Features in Google Cloud</li><li>Managed Instance Groups</li><li>Lab: Configuring an HTTP Load Balancer with Autoscaling</li></ul><h5>Module 5: Storage in Google Cloud</h5><ul> <li>Overview of Storage and Database Services</li><li>Cloud Storage</li><li>Lab: Cloud Storage</li><li>Managed Database Services</li><li>Data Lake Options</li><li>Lab: Implementing Cloud SQL</li></ul><h5>Module 6: Containers in Google Cloud</h5><ul> <li>Containers in Google Cloud</li><li>Google Kubernetes Engine</li><li>Kubernetes Concepts and Architecture</li><li>Lab: Getting Started with Google Kubernetes Engine</li><li>Deployments and Networking</li><li>Hybrid and Multi-Cloud Computing with GKE Enterprise</li><li>Lab: Creating Google Kubernetes Engine Deployments</li></ul><h5>Module 7: Applications in Google Cloud</h5><ul> <li>Developing Applications in Google Cloud</li><li>Cloud Run Functions</li><li>Cloud Run</li><li>Lab: Hello Cloud Run</li></ul><h5>Module 8: Monitoring in Google Cloud</h5><ul> <li>Monitoring in the Cloud</li><li>Cloud Operations</li><li>Monitoring GKE Clusters</li><li>Monitoring Tools in Azure and Google Cloud</li><li>Lab: Monitoring a Compute Engine VM using Ops Agent</li></ul>What you’ll learn: - Explain best practices for the Google Cloud solutions that incorporate resources and access management in Google Cloud. - Implement Google Cloud networks by using best practices for Cloud virtual private network (VPN), Virtual Private Cloud (VPC), and Google Cloud Firewall. - Create and customize virtual machine (VM) instances by using Compute Engine. - Configure load balancers and autoscaling for VM instances. - Implement data storage services in Google Cloud. - Design a solution by using Google Kubernetes Engine (GKE) for deploying applications in Google Cloud. - Examine best practices for the deployment and monitoring of Google Cloud infrastructure. - Identify the purpose of and use cases for Cloud Run.Familiarity with Azure terms and conceptsCloud Architects or Cloud Engineers who are experienced with Azure cloud.- Resource and Access Management in Google Cloud - Networking in Google Cloud - Virtual Machines in Google Cloud - Load Balancing and Managed Instance Groups on Google Cloud - Storage in Google Cloud - Containers in Google Cloud - Applications in Google Cloud - Monitoring in Google CloudModule 1: Resource and Access Management in Google Cloud - Google Cloud Resource Hierarchy - Identity and Access Management - Service Accounts - Interacting with Google Cloud - Lab: Exploring Identity and Access Management Module 2: Networking in Google Cloud - Networking Concepts in Azure and Google Cloud - Virtual Private Cloud Networking - Lab: VPC Networking - Cloud Routing - Interconnecting Networks - Lab: Implement Private Google Access and Cloud NAT Module 3: Virtual Machines in Google Cloud - Google Compute Engine - Machine Types and Images - Spot VMs - Lab: Getting Started with Compute Engine Module 4: Load Balancing and Managed Instance Groups on Google Cloud - Load Balancing in Azure and Google Cloud - Cloud Load Balancing Features in Google Cloud - Managed Instance Groups - Lab: Configuring an HTTP Load Balancer with Autoscaling Module 5: Storage in Google Cloud - Overview of Storage and Database Services - Cloud Storage - Lab: Cloud Storage - Managed Database Services - Data Lake Options - Lab: Implementing Cloud SQL Module 6: Containers in Google Cloud - Containers in Google Cloud - Google Kubernetes Engine - Kubernetes Concepts and Architecture - Lab: Getting Started with Google Kubernetes Engine - Deployments and Networking - Hybrid and Multi-Cloud Computing with GKE Enterprise - Lab: Creating Google Kubernetes Engine Deployments Module 7: Applications in Google Cloud - Developing Applications in Google Cloud - Cloud Run Functions - Cloud Run - Lab: Hello Cloud Run Module 8: Monitoring in Google Cloud - Monitoring in the Cloud - Cloud Operations - Monitoring GKE Clusters - Monitoring Tools in Azure and Google Cloud - Lab: Monitoring a Compute Engine VM using Ops Agent2 days1500.001500.001500.001500.001550.001300.001500.00