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Hello and welcome back. In this lesson you’ll get a concise tour of the Google Cloud Console and the key terminology you will use as a GCP data engineer. We’ll cover how to identify the active project, where to find the project ID, how projects are organized, and quick navigation tips to locate services and built‑in AI assistants.
A screenshot of the Google Cloud Console welcome dashboard for the project "KodeKloud-GCP-Training," showing project details and quick action buttons (Create a VM, Run a query in BigQuery, Deploy an application). A "Try Gemini Cloud Assist chat" panel and various service tiles (API, IAM, Billing, Compute Engine, etc.) are visible below.

1) Identify the active project

The project selector at the top of the Console shows which project is active. In the screenshot above the current project is KodeKloud GCP Training. Always verify the selected project before creating or modifying resources. Click the project selector to open the “Select a project” dialog. In larger organizations you will typically see many projects, potentially arranged under an Organization and grouped into Folders.
  • Click All to list every project you can access.
  • Choose the correct project based on its name, ID, or purpose.
  • Ensure you have the necessary IAM permissions for the project you select.
A project’s human-readable name is for display only. For programmatic access (APIs, SDKs, gcloud CLI, BigQuery jobs, Terraform, etc.) always use the project ID, which is globally unique within GCP. See the APIs documentation and BigQuery docs for examples.

2) Project name vs project ID vs project number

PropertyPurposeExample / Usage
Project nameFriendly display name shown in ConsoleKodeKloud GCP Training
Project IDGlobal, programmatic identifier used in code and API callsgcp-data-engineer-123456
Project numberNumeric identifier used by some Google systems123456789012
Common commands and usage examples:
  • Set active project for gcloud:
gcloud config set project gcp-data-engineer-123456
  • Specify a project when running a BigQuery command:
bq --project_id=gcp-data-engineer-123456 query 'SELECT count(*) FROM `dataset.table`'
  • Example Python client instantiation for BigQuery:
from google.cloud import bigquery
client = bigquery.Client(project="gcp-data-engineer-123456")

3) Creating and managing projects

To create a new project:
  1. Click New Project from the project selector.
  2. Enter a project name.
  3. Select a parent Organization or Folder (if applicable).
  4. Click Create.
Projects provide isolated workspaces for resources and billing. In enterprises, cloud administrators often manage project creation and apply organization policies.

4) Finding services and documentation

Use the top search bar to quickly locate services, documentation pages, and resource types. For example, type VPC to find the VPC service page and relevant docs. This integrated search returns both Console pages and links to official documentation. If you prefer browsing, open the main navigation menu (the “hamburger” icon). Services are grouped by use case and include categories such as:
  • Recently visited
  • Solution-based groupings
  • Cloud Overview and Cloud Hub

5) Built-in AI assistance

The Console integrates AI features, such as the Gemini Code Assist chat pane. Click the Gemini icon to open an assistant that can help with tasks like creating a VPC, listing steps for granting IAM roles, or generating example CLI commands. Close the pane when you finish to free screen space.

6) Organization-level view and Dashboard

From the navigation menu go to Cloud Overview → Dashboard to see an organization-level summary. What you see depends on your IAM role:
  • Admins may view all projects under the Organization.
  • Non-admins only see projects they have access to.
The Dashboard helps locate projects you manage and provides quick links to common admin and billing tasks.

Quick reference: Console elements

Console elementWhere to find itTip
Project selectorTop barVerify before creating resources
Search barTop centerFind services, docs, or resources
Navigation menuLeft hamburger iconBrowse categories by use case
Cloud Overview / DashboardNavigation menu → Cloud OverviewOrganization-level project visibility
Gemini AI assistIcon on Console (chat pane)Use for quick guidance and examples

Summary

This overview covered how to:
  • Identify and select the active project
  • Distinguish between project name, ID, and number
  • Create new projects and understand their role in resource isolation
  • Quickly find services using search or the navigation menu
  • Use the Console’s AI assistant and organization dashboard
Specific services and step-by-step workflows (e.g., creating VPCs, running BigQuery jobs, configuring IAM) are covered in the following lessons. See you in the next lesson.

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