D24
GrowthIntermediate6 weeks
GCP Cloud Engineering
Get hands-on with Google Cloud Platform — compute, storage, BigQuery, Kubernetes Engine, and IAM — building and deploying real applications on GCP specifically.
What you'll learn
Core GCP compute and storage services
BigQuery for data warehousing and analytics
Deploying containerized apps on GKE
IAM and cost management on GCP
Course details
Duration
6 weeks
Best for
Developers who want GCP-specific skills for cloud roles or GCP-based data/AI work
On completion
Verified certificate & placement assistance
Choose how you learn
Course Curriculum
A module-by-module breakdown of what you'll cover in GCP Cloud Engineering.
01
Getting Started & Environment Setup
Week 1- Setting up a free-tier GCP account
- Installing the gcloud CLI
- Creating a service account and key
- Verifying access with gcloud auth list
02
GCP Fundamentals & IAM
Week 2- Projects, billing, and resource hierarchy
- IAM roles and least-privilege access
- Compute Engine basics
- Cloud Storage classes
03
BigQuery & Data Warehousing
Weeks 3–4- BigQuery architecture and SQL
- Partitioning and clustering for cost control
- Scheduled queries
- Cost-aware query design
04
Containers & GKE
Week 5- GKE managed Kubernetes basics
- Deploying Pods, Deployments, Services
- Cloud Run as a serverless alternative
- Choosing between GKE and Cloud Run
05
Serverless & Cost Management
Week 6- Cloud Functions and event-driven architecture
- Cost monitoring and budget alerts
- Terraform on GCP
- Responsible cost governance
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
GooGoogle Cloud Platform
ComCompute Engine
CloCloud Storage
BigBigQuery
GKEGKE
CloCloud Functions
TFTerraform
Hands-on Projects
This is project-based learning — you'll build real, portfolio-ready work as you go, not just watch lectures.
Deployed web app on Compute Engine with a load balancer
BigQuery data warehouse with scheduled queries
Containerized microservice deployed to GKE
Serverless data pipeline using Cloud Functions and Cloud Storage triggers
Every course includes a guided internship on top of your project work — so you graduate with real experience, not just a certificate.
Communication & Soft Skills
Built into every course, alongside the technical curriculum.
Communication Skills
Practice explaining technical work clearly to teammates, managers, and clients.
Practical AI Skills
Hands-on training in using AI tools well — prompting, everyday workflows, and where AI actually helps versus where it doesn't.
Teamwork & Collaboration
Work in small project teams using real workflows like stand-ups and code reviews.
Problem Solving
Build the habit of breaking down ambiguous problems into clear, solvable steps.
Time Management
Learn to plan, prioritize, and deliver project work against realistic deadlines.
Presentation Skills
Present your project work and results with confidence, as you would to a client.
Resume & Profile Building
Build a strong resume, LinkedIn profile, and project portfolio that recruiters notice.
Interview Preparation
Mock interviews and portfolio reviews to get you ready for real job applications.
