
Create a Compute Engine Linux VM, connect via SSH, install nginx, and serve a sample index page, then explore VM actions and details, observability, and screenshot tabs.
Understand suspend and resume in Google Cloud, where memory moves to and from persistent storage, with a 60-day limit and 120 GB cap for dev/test use cases and pricing.
Learn how VM startup scripts run on Linux and Windows VMs, with VM-level and project-level configuration, the execution order, and applying scripts via direct text, metadata, or cloud storage.
Learn to implement an instance-level startup script, override the project-level startup script, and verify nginx installation and app access via the VM IP, with deletion protection.
Learn how Google Cloud Shell offers a development environment with browser access, command line access to virtual machine instances, a 5 GB persistent home directory, and the Cloud Shell editor.
Explore gcloud CLI to manage Compute Engine VMs and other cloud services, with a hands-on demo creating a VM with startup scripts, tags, and firewall settings.
Discover Google Compute Engine instance templates to rapidly create identical VM instances or managed groups, storing machine configuration, boot disk, startup scripts, identity and API access, and firewall rules.
Create a regional instance template in Google Cloud Compute Engine using the console and gcloud, configure a startup script and HTTP traffic, then launch a VM from the template.
Machine images capture VM properties, metadata, permissions, and disk data to create new instances. Use them for backup, cloning, and rapid deployment, stored regionally or multi-regionally.
Create a vm instance from a mission image, customize its name, and preserve the boot disk and ip, while learning to create and delete mission images with gcloud.
Explore how spot VMs use excess Compute Engine capacity to offer 60–91% discounts, with preemption and a 30-second warning, plus stop or delete termination options for fault-tolerant workloads.
Learn to create spot VMs with Google Cloud Console and gcloud, configure provisioning model spot, set termination behavior, enable HTTP firewall, and deploy a startup script for a running demo.
Explore Compute Engine machine families and types, from general purpose to workload optimized, with preset and custom configurations, and learn how to choose CPU, memory, storage, and GPUs for workloads.
Increase your GPU quota via IAM and admin quotas, then create a Compute Engine VM with an attached Nvidia T4 GPU and a CUDA-enabled deep learning image.
Learn to create sole-tenant nodes in Google Cloud by building a node group and node template, configuring auto scaling, maintenance, and sharing, then deploy VMs within the group.
Course Modules
Compute Engine - 26 Demos
Cloud Run and Cloud Functions - 5 Demos
Virtual Private Cloud - 12 Demos
Cloud Load Balancing - 11 Demos
Google Kubernetes Engine - 28 Demos
Cloud Identity and Access Management (IAM) - 9 Demos
Data Solutions - 27 Demos
Cloud Monitoring - 7 Demos
Cloud Logging - 6 Demos
Compute Engine: 26 Practical Demos
Compute Engine: VM Instances Demo List
VM Instance Basics
Startup Scripts
Cloud Shell & gcloud CLI
Instance Templates
Machine Images
Spot VMs
Attach GPU to a VM
Sole-tenant Nodes
Ops Agent
Compute Engine: Persistent Disk Demo List
Cloud KMS
Attach Non-boot disk
Resize Disks
Regional Persistent Disks
Hyper Disks
Hyper Disk Storage Pools
Disk Images
Disk Snapshots
Local SSDs
Compute Engine: Instance Groups
Unmanaged Instance Groups
Managed Instance Groups - Stateless
Managed Instance Groups - Stateful
Compute Engine: SSH Keys
Default SSH Keys
Project-level Metadata
Instance-level Metadata
SSH OS Login
SSH OS Login - Thir-party Tools
Google Kubernetes Engine - 28 Practical Demos
GKE Kubernetes Pods
Kubernetes Pods - Imperative
Kubernetes Pods - Declarative
GKE Kubernetes Deployments
Kubernetes Deployment - Imperative
Kubernetes Deployment - Declarative
Kubernetes Deployment - Update
Kubernetes Deployment - Rollback
GKE Kubernetes Other Workload Resources
Kubernetes ReplicaSets
Kubernetes StatefulSets
Kubernetes DaemonSets
Kubernetes NodePort Service
Kubernetes ClusterIP Service
Kubernetes Headless Service
Kubernetes Ingress Service
GKE Kubernetes Jobs
Kubernetes Job Basics
Kubernetes Job Back-off limits
Kubernetes Job Completions
Kubernetes Job Parallelism
Kubernetes Job Active Deadline Seconds
Kubernetes Cron Jobs
GKE Cluster Management
Node Pools and Node Selectors
GKE Cluster Types
GKE Regional Standard Cluster
GKE Auto-pilot Cluster
GKE Private Cluster
GKE Autoscaling
GKE Cluster Autoscaler
GKE Horizontal Pod Autoscaling
GKE Vertical Pod Autoscaling
GKE Kubernetes Storage
GKE Storage with Compute Engine Persistent Disks
GKE Container Registry
Google Artifact Registry
Cloud Identity and Access Management (Cloud IAM) - 9 Practical Demos
IAM Roles
IAM Roles - gcloud CLI
IAM Policy
IAM Conditions
IAM Service Account
IAM Service Account - gcloud CLI
IAM Service Account - Impersonation
IAM Service Account Keys - Long-lived Credentials
IAM Service Account - Short-lived Credentials
Virtual Private Cloud - 12 Practical Demos
VPC Types (Auto and Custom)
Static IP Addresses (External and Internal)
Cloud NAT and Cloud Router
VPC Private Google Access
Cloud Domains
Cloud DNS
Firewall Ingress Rules
Firewall Ingress Rule with Target Tags
Firewall Ingress Rule with Service Accounts
Firewall Ingress Rule with Destination Filters
Firewall Egress Deny Rule
Firewall Policies
Cloud Load Balancing - 11 Practical Demos
Regional Managed Instance Groups
Global HTTP Load Balancer
Global HTTPS Load Balancer (Self-signed SSL)
Global HTTPS Load Balancer (Google-managed SSL)
Global TCP Proxy Load Balancer
Global SSL Proxy Load Balancer
Zonal Managed Instance Groups
Regional HTTP Load Balancer
Regional HTTP Internal Load Balancer
Regional TCP Proxy Load Balancer
Regional TCP Pass-through Load Balancer
Cloud Run and Cloud Functions - 5 Practical Demos
Cloud Run Services
Cloud Run Jobs
Cloud Functions - HTTP
Cloud Functions - Events with Cloud Pub/Sub
Cloud Functions - Events with Cloud Storage
Google Cloud Data Solutions - 12 Services, 27 Practical Demos
Cloud SQL
Cloud Spanner
Cloud Dataflow
Cloud AlloyDB
Cloud Firestore
Cloud Datastore
Cloud Bigtable
Cloud Dataproc
Cloud Pub/Sub
Cloud Pub/Sub Lite
Cloud Storage
Cloud Big Query
Cloud Monitoring - 7 Practical Demos
Uptime Checks
Alert Policies and Notification Channels
Monitoring Groups
Synthetic Monitor - Custom Scripts
Synthetic Monitor - Mocha Template
Synthetic Monitor - Broken-link Checker
Custom Dashboards
Cloud Logging - 6 Practical Demos
Log Explorer
Application Integration
Log-based Metrics and Alerts
Log-based Alert Policy
Log Storage and Log Router Sinks
Log Analysis and BigQuery Linked Datasets
Each of my courses comes with
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Practical demos for each and every concept
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