← Back to the catalogueGoogle Cloud Platform (GCP)
Beginner to Advanced
Level
Classroom . Online . Hybrid
Mode
Course overview
A Google Cloud course covering compute, storage, data and container services with an emphasis on managed platforms. The course follows the Google approach of preferring managed services: Compute Engine and VPC first for grounding, then Cloud Run, GKE, Cloud SQL, BigQuery and Pub/Sub, with IAM and the operations suite throughout.
Learners deploy a containerised application on Cloud Run and GKE and query a public BigQuery dataset.
Who it is for
- Cloud engineers and administrators
- Developers deploying containers
- Data engineers using BigQuery
- Graduates preparing for Associate Cloud Engineer
Prerequisites
Basic Linux, networking and one programming language.
How it runs
Learn → Practise → Build → Experience → Demonstrate, ending in a capstone. Delivered by practitioners from the engineering bench, in Madurai, Coimbatore and online.
Final project
Containerised App on GCP with Monitoring
Programme sheet
The printed sheet carries the full module breakdown, labs, project work and certification path. Fees, dates and formats for the next intake are confirmed by the education team on enquiry.
Learning outcomes
01
Structure projects, folders and billing accounts.
02
Run workloads on Compute Engine and Cloud Run.
03
Store and serve data from Cloud Storage and Cloud SQL.
04
Query datasets in BigQuery and monitor with the operations suite.
05
Grant access with IAM roles and service accounts.
06
Design VPCs, firewall rules and load balancing.
07
Deploy and scale containers on GKE.
Module structure
8 modulesResource hierarchy . Regions and zones . Projects and billing . Pricing calculator . APIs and quotas
Module 02
IAM and Security
Predefined and custom roles . Workload identity basics . Secret Manager . Service accounts . Organisation policy
Lab
Service Account Access
Instance groups . Startup scripts . Images and snapshots . Preemptible VMs . Autoscaling
Lab
Managed Instance Group
VPC and subnets . Firewall rules . Load balancing types
Module 05
Storage and Databases
Lifecycle . Signed URLs . Firestore . Memorystore basics
Module 06
Containers and Serverless
Artifact Registry . Workloads and services . GKE clusters
Lab
Cloud Run and GKE Deployment . Cloud Build . Cloud Functions
Module 07
Data and Messaging
BigQuery datasets and queries . Partitioning . Pub/Sub topics . Dataflow overview . Looker Studio connection
Module 08
Operations and Cost
Alerting policies . Error Reporting . Budgets
Assessment & certification
Module assignments and labs
25%
Final project and review
40%
Learners who complete all modules, submit the final project and clear the review receive a course completion certificate from Kaizen Infinities Private Limited. Project work is documented for the learner's portfolio, and interview preparation is included in the closing sessions.
Career outcomes . Roles this programme prepares for
GCP Cloud EngineerCloud AdministratorDevOps EngineerData Platform EngineerSite Reliability Engineer
