GCP Google Cloud Professional Cloud Developer Certification

Explore a basic overview of Google Cloud Platform, set up a free Google Cloud account, and learn about core products—compute, storage, database, analytics, machine learning, and networking—along with regions.

Create a free trial Google Cloud account using a Google account, verify identity with a credit card, and access a $300 credit to start your first project.

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.

Discover Google Cloud Shell features, including a built-in editor, web preview, and file management, and deploy tests using Python and Apache. Prepare for gcloud command-line work.

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

Create a new Google Cloud project in the cloud console, learning about project name, project ID, and project number, and how to navigate via the hamburger menu and dashboard.

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.

Explore how global flags in the gcloud cli apply across all commands, enabling consistent project and account settings, plus formatting options like json and csv output.

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 gcloud commands move through alpha and beta channels before general availability, including alpha access permissions and role assignments, beta testing, and interactive mode for faster command suggestions.

Explore essential Google Cloud SDK utilities beyond gcloud, including bq for BigQuery, gsutil for Cloud Storage, kubectl for Kubernetes, and cbt for Cloud Bigtable, with practical command examples.

Explore Google Cloud APIs to automate cloud workflows using REST or gRPC, with client libraries for Python, Java, or Node.js, and use API explorer to manage enabled services.

Explore the Google Cloud Storage API by listing buckets for a project, authenticate your account, and compare web console, cli, and python sdk workflows.

Learn to create a Google Cloud storage bucket using Python code with the Google Cloud client library, setting up a service account and credentials in Cloud Shell for programmatic access.

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.

Set up budgets and billing alerts to monitor Google Cloud charges across projects, with thresholds like 10%, 90%, and 100% and email or popup notifications.

Export detailed billing data to Google Cloud BigQuery for analytics using the standard query export. Disable the deprecated file export option and create a per-project BigQuery dataset for analysis.

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.

Explore how resource quotas cap resources per project, with regional and global limits and hard caps; view quotas in the console, monitor usage, and request increases.

Explore how resources are organized into projects, folders, and an organization, with regional, multi regional, dual region, and global resource types provisioning under a hierarchical root.

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

Learn Google Cloud identity and access management, covering IAM identities, members, roles, permissions, and how to assign roles to service accounts and compute engines with keys.

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.

Learn about service accounts, a non human identity in Google Cloud used by apps and VMs to authenticate with keys, with up to ten keys per account.

Learn how permissions define granular operations on Google Cloud resources, with services, resources, and actions forming each permission, and how primitive, predefined, and custom roles bundle these permissions for identities.

Explore primitive roles in Google Cloud (viewer, editor, and owner) defined at the project level with permissions. Compare their access and permissions in the cloud console and gcloud.

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.

Learn how to assign standard, predefined, and custom roles to various identities using policy bindings in Google Cloud IAM, including service accounts, Google Workspace accounts, and Google Groups.

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.

Understand the shared responsibility model with Google Cloud, outlining security, encryption, identity and access management as you move from on premises to IaaS, PaaS, and SaaS, plus cost perspective.

Compare Google Cloud compute options—from Compute Engine to Kubernetes Engine, App Engine, Cloud Run, and Cloud Functions—and understand the tradeoffs between flexibility and management.

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.

Explore the lifecycle of a compute engine virtual machine, including starting, stopping, suspending, resetting, and deleting. Discover boot disk, network interface, and instance details, plus scheduling and image creation.

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.

Explore Google Cloud machine families and types, including general purpose, compute optimized, memory optimized, and custom configurations. Learn how virtual CPU, RAM, and pricing guide workload choices.

Learn to create a Google Compute Engine VM from the command line with gcloud compute instances create, including name, zone, image (Debian 11 bullseye), and machine type.

Install nginx web server on a Google Cloud virtual machine, test access via external IP, and distinguish internal vs external IP while introducing startup scripts for automated provisioning.

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.

Use instance templates to simplify virtual machine creation by bundling parameters into a blueprint, then create virtual machines or instance groups from the template.

Learn how to back up a Compute Engine disk with snapshots, including manual creation, regional storage, and the incremental nature that preserves changes across snapshots.

Learn how incremental snapshots back up a virtual machine, creating snapshot two from one, and how to schedule hourly auto-deleting backups.

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.

Learn how a machine image provides a complete backup of a Compute Engine VM, including metadata, permissions, and data from all disks, enabling restore or recreating an instance.

Detach a data disk from a Google Compute Engine instance using the cloud console or gcloud commands, and learn to detach, list, and delete disks.

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.

Explore preemptive virtual machines on Google Cloud, offering up to 80% discount with a 24-hour lifespan, for batch tasks rather than live hosting, with a 30-second warning if preempted.