IntermediateSoftware trackCDS-GOOGLE-P03

GKE Kubernetes deployment

Build GKE Kubernetes deployment end to end using GCP, Cloud Run, GKE, BigQuery, Terraform. Ten guided workspace steps take you from requirements to a deployed, AI-graded deliverable. Submit: Repo/IaC + deployment evidence + architecture doc.

Cloud, DevOps & SecurityGoogle Cloud

10 Guided Steps120h Internship TierSubmit: Repo/IaC + deployment evidence + architecture docVerified CertificateAI Rubric Graded

Core Tech Stack:TerraformGCPCloud RunGKEBigQuery

Program Overview

What you submit

Repo/IaC + deployment evidence + architecture doc

Stack: GCP, Cloud Run, GKE, BigQuery, Terraform

How it is graded

Signals: IaC applies & pipeline green; reachable; security & cost checks; docs

Functionality & requirements30
Technical quality & architecture25
Documentation15
Deployment & evidence15
Innovation10
Presentation5

Pass 60% · Merit 75% · Distinction 90%

Learning Outcomes

Graded on: IaC applies & pipeline green; reachable; security & cost checks; docs. Pass 60% · Merit 75% · Distinction 90%.

Target Audience

Engineering Students

Diploma, B.Tech, B.E., BCA, MCA, or M.Tech students seeking practical experience.

Aspiring Developers

Developers who want to build proof-of-work capstone projects for tech resumes.

Job Seekers

Graduates looking for AI-evaluated code review & verified industry credentials.