Master GCP from the ground up — IAM, Compute Engine, GKE, Cloud Storage, VPC networking, Cloud Operations, and BigQuery. This program prepares you to deploy and maintain production workloads on Google Cloud and pass the ACE certification exam.
✔ 55% hands-on GCP labs • 20+ real‑world projects • Official-style practice exams • Capstone project (multi‑tier app on GKE + Cloud SQL) • 24/7 GCP lab access.
Cloud IAM, Compute Engine, Google Kubernetes Engine (GKE), Cloud Run, Cloud Functions, Cloud Storage, Filestore, Persistent Disk, VPC, Cloud Load Balancing, Cloud Interconnect, Cloud Monitoring, Logging, Cloud Shell, gcloud CLI, Deployment Manager.
Basic knowledge of Linux command line, networking concepts, and general IT fundamentals. No prior GCP experience required — we start from basics.
Deploy a scalable web app on Compute Engine with load balancing, build a serverless backend with Cloud Functions and Firestore, run containers on GKE with CI/CD, and implement infrastructure as code with Deployment Manager/Terraform.
Exam vouchers, mock tests, resume review, portfolio development, and interview preparation for Cloud Engineer, DevOps Engineer, and GCP Architect roles.
Tailored Google Cloud upskilling for teams and enterprises
Choose from ACE, Professional Cloud Architect, or Data Engineer tracks.
Hands-on practice in isolated Google Cloud projects with cost controls (Qwiklabs integration).
Monitor progress and skill gaps with detailed analytics.
Volume discounts for teams of 10+, plus pay-as-you-go options.
Dedicated cloud engineers to assist your learners anytime.
Single point of contact for seamless training delivery.
Get a custom quote for your organization's GCP training.
From GCP Fundamentals to Production Operations
Manage Cloud IAM roles, service accounts, and policies. Implement resource hierarchy (organization, folders, projects) and VPC Service Controls.
Create and manage VM instances, use machine types, images, snapshots, instance groups, and load balancing for scalable applications.
Deploy and manage Kubernetes clusters, use GKE Autopilot, configure workloads, Services, Ingress, persistent volumes, and monitoring.
Manage Cloud Storage buckets (classes, lifecycle, encryption), use Cloud SQL, Firestore (NoSQL), Bigtable, and Spanner for different data models.
Design VPCs, subnets, firewalls, Cloud NAT, Cloud VPN, Cloud CDN, Cloud Interconnect, and Shared VPC. Implement private Google access.
Use Cloud Monitoring, Cloud Logging, Error Reporting, Trace, and Debugger. Set up uptime checks, alerting policies, and logging sinks.
Ideal Candidates for Google Cloud Associate Cloud Engineer Certification
Designed for IT professionals and cloud beginners who have basic Linux command line and networking knowledge. This program bridges theoretical concepts with hands‑on GCP practice, giving you the confidence to pass the Google Cloud Associate Cloud Engineer (ACE) exam and excel in cloud engineering roles. Average salaries for GCP Cloud Engineers in India range from ₹7 Lakhs to ₹18+ Lakhs per year.
Your Step‑by‑Step Path to GCP Certification
Master resource hierarchy, Cloud IAM, service accounts, and billing setup — the foundation of every GCP project.
What You Need Before You Start
Objective: To certify your ability to deploy, monitor, and maintain projects on Google Cloud. Candidates should have:
Basic command line navigation, understanding of IP networking, DNS, and system administration concepts.
Familiarity with IaaS, PaaS, SaaS models is helpful but not mandatory.
No prior GCP experience required — we start from scratch and quickly ramp up to advanced topics.
Comprehensive Google Cloud modules aligned to ACE exam domains
Set up resource hierarchy, IAM roles, service accounts, and policies for least privilege access.
Configure billing accounts, budgets, alerts, and manage API quotas.
Create VMs, use preemptible VMs, custom machine types, and live migration policies.
Configure managed/unmanaged instance groups, load balancers (HTTP(S), TCP/UDP), and health checks.
Provision clusters, deploy workloads, configure horizontal pod autoscaling and cluster autoscaler.
Work with Services, Ingress, network policies, private clusters, and IAM integration.
Buckets, storage classes (Standard, Nearline, Coldline, Archive), object lifecycle, encryption, IAM, and signed URLs.
Deploy Cloud SQL (MySQL/PostgreSQL), Firestore (NoSQL), and Bigtable for time‑series/analytics workloads.
Create VPCs, subnets, firewall rules, and route policies. Implement shared VPC and VPC peering.
Configure Cloud VPN, Cloud Interconnect, Cloud Router, and Cloud NAT for internet egress.
Deploy stateless containers with automatic scaling, manage revisions, and configure IAM and domain mapping.
Write lightweight functions triggered by Cloud Storage, Pub/Sub, Firestore, or HTTP requests.
Write declarative YAML/ Jinja templates to provision GCP resources repeatedly.
Use Terraform to manage GCP resources, state management, and modules for reusable infrastructure.
Create dashboards, set up uptime checks, configure alerting policies, and use metrics explorer.
Collect log entries, build log‑based metrics, export logs to BigQuery / Cloud Storage, and use Cloud Audit Logs.
Query large datasets, use partitions/clustering, manage slots, and export data.
Use Cloud Dataflow (Apache Beam) and Cloud Composer (Apache Airflow) for ETL pipelines.
Build and deploy a microservices app with GKE, Cloud SQL, Cloud Storage, and external load balancer.
Practice with official‑style questions across all ACE exam domains. Review weak areas and test strategies.
Lifetime Access
Real GCP Projects Included
Mentor Support
Practice Assignments
Certificate Preparation
Join 13,000+ successful GCP engineers who accelerated their careers with our hands‑on training. Google Cloud skills are in high demand, with certified engineers earning premium salaries.
✅ Limited seats available for the upcoming batch • EMI options available