GCP Google Cloud Professional Cloud Developer Certification

Distribute your application across multiple regions and zones to reduce latency, meet data residency rules, and ensure high availability and disaster recovery.

Discover four ways to access Google Cloud: web console, command line interface, language SDKs (Python, Java, Go, Node), and mobile access; start by exploring the web console.

Learn to access Google Cloud via the web console, with a free Cloud Shell and project-based workflow. Navigate dashboards, search services, and explore Compute Engine basics.

Discover Google Cloud Shell, a Linux-based virtual machine that offers a free command-line interface to Google Cloud with 5 GB of persistent storage and a sandboxed, ephemeral home directory.

Interact with the Google Cloud platform using the mobile app on Android and iOS to easily manage cloud resources.

Discover the Google Cloud SDK, a set of libraries and tools for interacting with Google Cloud services via the gcloud CLI, BQ, and kubectl, on local machines or Cloud Shell.

Master the gcloud command line basics, including groups, subgroups, actions, and global flags. Use a compute instances workflow to list, create, and delete a VM.

Explore the gcloud cli core commands and groups, list regions and zones, manage projects via list, describe, and delete, and navigate between compute, storage, and Google Cloud services.

Learn how the gcloud CLI root commands operate independently of specific products, explore cloud shell, view version and components, and preview global flags and configuration in the Google Cloud SDK.

Explore gcloud config in the cloud cli by creating and switching configurations and setting project and accessibility reader. Learn to list, get, and activate configurations to tailor cloud shell outputs.

Learn how to initialize and authenticate with the gcloud cli, use gcloud init, manage configurations, and authenticate or login across cloud shell or local machine.

Manage Google Cloud SDK components with the gcloud CLI, including listing, installing, updating, and uninstalling components, checking versions, and handling component manager settings.

Learn how Google Cloud billing accounts pay for resources, attach projects, and manage invoices and cost reports, including creating or linking multiple billing accounts for an organization.

Learn to use the GCP pricing calculator to estimate costs by configuring CPU, memory, and requests for services like Compute Engine or Cloud Run; save estimates and email your estimation.

Demonstrate how to build a three-level resource hierarchy in Google Cloud by creating an organization, folders, and projects under departments.

Define identity and access management in Google Cloud Platform, showing how a member’s email and roles grant permissions to resources like Compute Engine and Cloud Storage.

Explore the cloud identities that connect to Google Cloud, including Google account, service account, cloud identity domain, Google Workspace, and Google Groups, plus all user and all authenticated user.

Explore predefined roles managed by Google for specific services, enabling granular access beyond permissions, including storage, compute, and BigQuery roles; apply the principle of list privilege and bare minimum roles.

Learn how to create custom roles by combining permissions from compute engine admin and storage admin, removing or adding permissions, to grant VM creation and storage bucket access.

Explore binding users to roles via policy, applying access at project, folder, or organization levels, and test viewer, editor, and owner permissions in hands-on role assignment.

Explore transferring ownership, accepting invitations, and assigning service-specific roles such as compute admin and cloud spanner admin to control IAM permissions and cross-project access.

Explore using a service account as the compute engine identity, switch it via the console with gcloud, grant storage admin for buckets, and note that changes propagate.

Explore Google Cloud compute models: IaaS, PaaS, SaaS, and container as a service, comparing who manages what, with examples like Cloud Run, GKE, App Engine, and FaaS.

Provision a virtual machine with compute engine, defining CPU, memory, storage, and networking, and enable the compute engine API to establish the default VPC.

Launch your first Compute Engine instance from the default VPC, selecting region and zone, a machine type, and a Debian image, and configure disks, networking, and a service account.

Learn to SSH into a Google Compute Engine virtual machine using browser-based SSH and the gcloud command-line tool, including cloud shell and key-based authentication.

Learn to automate provisioning with a startup script that installs the engine x web server on boot, test via external and internal IPs, and clone a similar VM.

Discover how custom images differ from snapshots by creating a full image from a disk attached to a stopped instance, including the OS, patches, and data, unlike incremental snapshots.

Attach an extra network disk to a running compute engine, mount it, and verify space via SSH, comparing local versus network storage and standard vs SSD disk options.

Attach an extra disk to a virtual machine, verify the 13 GB SDB is visible, format and mount it at /data/disk1, and set write permissions for data access.

Learn how to attach a local ssd to a Google Cloud VM, enabling nvme performance, selecting machine types, a 375 gb local disk, and cost considerations.

Understand Google Compute Engine availability policy for maintenance events and automatic restart. Compare provisioning models (standard vs spot), preemption behavior with stop or delete actions, and live migration.

Optimize Compute Engine costs in Google Cloud by applying flat rate pricing, sustained use discount, and committed use discount. Discover how usage duration and commitments drive savings.