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Google Cloud Associate Cloud Engineer Certification Training Program

Classroom Training and Live Online Courses

Deploy, monitor, and maintain high‑scale cloud solutions on Google Cloud Platform (GCP). This program is designed for cloud professionals who want to master GCP core services — Compute Engine, Kubernetes (GKE), Cloud Storage, VPC, IAM, and Cloud Operations — preparing you for the official Google Cloud Associate Cloud Engineer certification exam.

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55% hands-on labs & real‑world GCP projects using Compute Engine, GKE, Cloud Functions, Cloud Storage, and BigQuery.

Exam‑focused curriculum aligned with the latest Associate Cloud Engineer domains — GCP architecture, security, storage, networking, monitoring & logging.

Learn from Google Cloud certified trainers with real‑world experience in enterprise GCP deployments.

Google Cloud Associate Cloud Engineer – Program Overview

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.

Course Highlights

✔ 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.

Skills You Will Gain

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.

Eligibility & Prerequisites

Basic knowledge of Linux command line, networking concepts, and general IT fundamentals. No prior GCP experience required — we start from basics.

Real-World Projects

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.

Career Support

Exam vouchers, mock tests, resume review, portfolio development, and interview preparation for Cloud Engineer, DevOps Engineer, and GCP Architect roles.

Corporate Training

Tailored Google Cloud upskilling for teams and enterprises

Custom Learning Paths

Choose from ACE, Professional Cloud Architect, or Data Engineer tracks.

Sandbox GCP Environments

Hands-on practice in isolated Google Cloud projects with cost controls (Qwiklabs integration).

Team Dashboards

Monitor progress and skill gaps with detailed analytics.

Flexible Pricing

Volume discounts for teams of 10+, plus pay-as-you-go options.

24/7 Lab Support

Dedicated cloud engineers to assist your learners anytime.

Account Manager

Single point of contact for seamless training delivery.

Google Cloud Corporate Training

Ready to upskill your team on Google Cloud?

Get a custom quote for your organization's GCP training.

Skills You Will Gain In Our Google Cloud Associate Cloud Engineer Program

From GCP Fundamentals to Production Operations

Identity & Access Management (IAM) – GCP

Manage Cloud IAM roles, service accounts, and policies. Implement resource hierarchy (organization, folders, projects) and VPC Service Controls.

Compute Engine & Virtual Machines

Create and manage VM instances, use machine types, images, snapshots, instance groups, and load balancing for scalable applications.

Google Kubernetes Engine (GKE)

Deploy and manage Kubernetes clusters, use GKE Autopilot, configure workloads, Services, Ingress, persistent volumes, and monitoring.

Cloud Storage & Databases

Manage Cloud Storage buckets (classes, lifecycle, encryption), use Cloud SQL, Firestore (NoSQL), Bigtable, and Spanner for different data models.

Networking & Security

Design VPCs, subnets, firewalls, Cloud NAT, Cloud VPN, Cloud CDN, Cloud Interconnect, and Shared VPC. Implement private Google access.

Cloud Operations & Monitoring

Use Cloud Monitoring, Cloud Logging, Error Reporting, Trace, and Debugger. Set up uptime checks, alerting policies, and logging sinks.

Who This Program Is For

Ideal Candidates for Google Cloud Associate Cloud Engineer Certification

Cloud Engineers starting with GCP

System Administrators moving to cloud

DevOps Engineers wanting GCP expertise

Solutions Architects expanding to multi‑cloud

Recent graduates with IT background

IT Professionals aiming for Google Cloud 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.

Google Cloud Associate Cloud Engineer – Program Roadmap

Your Step‑by‑Step Path to GCP Certification

Google Cloud Roadmap

Step 1: GCP Foundations & IAM

Master resource hierarchy, Cloud IAM, service accounts, and billing setup — the foundation of every GCP project.

Eligibility and Prerequisites for Google Cloud Associate Cloud Engineer Certification

What You Need Before You Start

Objective: To certify your ability to deploy, monitor, and maintain projects on Google Cloud. Candidates should have:

PREREQUISITES:

Foundational IT & Linux Knowledge:

Basic command line navigation, understanding of IP networking, DNS, and system administration concepts.

Basic Understanding of Cloud Concepts:

Familiarity with IaaS, PaaS, SaaS models is helpful but not mandatory.

Willingness to Learn gcloud CLI & Google Cloud Console:

No prior GCP experience required — we start from scratch and quickly ramp up to advanced topics.

Course Modules & Curriculum

Comprehensive Google Cloud modules aligned to ACE exam domains

Module 1

GCP Resource Hierarchy & Identity Management

Lesson 1: Projects, Folders, Organization

Set up resource hierarchy, IAM roles, service accounts, and policies for least privilege access.

Lesson 2: Billing & Quotas

Configure billing accounts, budgets, alerts, and manage API quotas.

Module 2

Compute Engine & Virtual Machines

Lesson 1: VM Management

Create VMs, use preemptible VMs, custom machine types, and live migration policies.

Lesson 2: Instance Groups & Load Balancing

Configure managed/unmanaged instance groups, load balancers (HTTP(S), TCP/UDP), and health checks.

Module 3

Google Kubernetes Engine (GKE)

Lesson 1: GKE Standard & Autopilot

Provision clusters, deploy workloads, configure horizontal pod autoscaling and cluster autoscaler.

Lesson 2: Networking & Security in GKE

Work with Services, Ingress, network policies, private clusters, and IAM integration.

Module 4

Cloud Storage & Data Services

Lesson 1: Cloud Storage Fundamentals

Buckets, storage classes (Standard, Nearline, Coldline, Archive), object lifecycle, encryption, IAM, and signed URLs.

Lesson 2: Cloud SQL, Firestore & Bigtable

Deploy Cloud SQL (MySQL/PostgreSQL), Firestore (NoSQL), and Bigtable for time‑series/analytics workloads.

Module 5

Virtual Private Cloud (VPC) Networking

Lesson 1: VPC Design & Firewall Rules

Create VPCs, subnets, firewall rules, and route policies. Implement shared VPC and VPC peering.

Lesson 2: Hybrid Connectivity & Cloud NAT

Configure Cloud VPN, Cloud Interconnect, Cloud Router, and Cloud NAT for internet egress.

Module 6

Serverless Computing: Cloud Run & Cloud Functions

Lesson 1: Cloud Run (Containers as a Service)

Deploy stateless containers with automatic scaling, manage revisions, and configure IAM and domain mapping.

Lesson 2: Cloud Functions (Event‑driven)

Write lightweight functions triggered by Cloud Storage, Pub/Sub, Firestore, or HTTP requests.

Module 7

Infrastructure as Code with Deployment Manager & Terraform

Lesson 1: Google Cloud Deployment Manager

Write declarative YAML/ Jinja templates to provision GCP resources repeatedly.

Lesson 2: Terraform on GCP

Use Terraform to manage GCP resources, state management, and modules for reusable infrastructure.

Module 8

Monitoring, Logging & Error Reporting

Lesson 1: Cloud Monitoring (formerly Stackdriver)

Create dashboards, set up uptime checks, configure alerting policies, and use metrics explorer.

Lesson 2: Cloud Logging & Audit Logs

Collect log entries, build log‑based metrics, export logs to BigQuery / Cloud Storage, and use Cloud Audit Logs.

Module 9

Data Analytics & BigQuery

Lesson 1: BigQuery Basics

Query large datasets, use partitions/clustering, manage slots, and export data.

Lesson 2: Data ingesting & Pipeline Orchestration

Use Cloud Dataflow (Apache Beam) and Cloud Composer (Apache Airflow) for ETL pipelines.

Module 10

Capstone Project & ACE Exam Preparation

Lesson 1: End‑to‑End Application on GKE

Build and deploy a microservices app with GKE, Cloud SQL, Cloud Storage, and external load balancer.

Lesson 2: Mock Exams & Review

Practice with official‑style questions across all ACE exam domains. Review weak areas and test strategies.

E-LEARNING

₹9999

Google Cloud Associate Cloud Engineer Course

Lifetime Access

Real GCP Projects Included

Mentor Support

Practice Assignments

Certificate Preparation

Ready to Become a Google Cloud Certified Associate Cloud Engineer?

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

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