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☁️ GCP Certification Track Intermediate Level Google Cloud

GCP Associate
Cloud Engineer

Prepare for the Google Cloud Associate Cloud Engineer certification with comprehensive hands-on training on real GCP infrastructure. Master Compute Engine, GKE, Cloud Run, Cloud Storage, BigQuery, IAM, VPC networking, Terraform on GCP, and Cloud Monitoring — with AI-assisted learning throughout every module.

schedule55 Hours

science30+ Labs

workspace_premium4 Real Projects

languageEnglish

terminalHands-on Labs

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4.9 (48 reviews) · 1,900+ enrolled

person Created by Priya Sharma · GCP Certified Architect & Cloud Trainer, 10+ years experience

boltEnroll Now — ₹18,499

cloud GCP ACE

Google Cloud Certification Track

Associate Cloud Engineer

GCE · GKE · Cloud Run · BigQuery · Terraform · IAM · VPC

55h

Content

30+

Labs

4

Projects

Tools & Technologies

Compute EngineGKECloud RunCloud StorageBigQueryCloud SQLIAMVPCCloud MonitoringTerraformCloud BuildCopilot

What you'll learn

check_circle Set up GCP projects, billing, IAM policies, and organisational hierarchy for enterprise environments

check_circle Deploy and manage virtual machines on Compute Engine with managed instance groups and load balancers

check_circle Run containerised applications on GKE and Cloud Run with auto-scaling and traffic management

check_circle Store and manage data with Cloud Storage, Cloud SQL, Firestore, and BigQuery

check_circle Design and implement VPC networks, firewall rules, VPN, and Cloud Interconnect

check_circle Monitor, log, and alert on GCP resources using Cloud Monitoring, Cloud Logging, and Cloud Trace

check_circle Provision GCP infrastructure with Terraform and automate deployments with Cloud Build

check_circle Use Google Cloud AI tools and AI-assisted workflow automation throughout the course

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30+ GCP Hands-on Labs

Labs on real GCP projects covering every exam domain — Compute, Storage, Networking, Containers, Data, and Monitoring. Real resources, not simulations.

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AI-Accelerated Study

Google Cloud AI tools, GitHub Copilot, and Claude help you understand services faster, generate gcloud commands, and practice exam scenarios with AI explanations.

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ACE Exam Aligned

Every module maps directly to GCP Associate Cloud Engineer exam objectives — with practice questions, domain summaries, and exam tips throughout the course.

Course Curriculum

12 Modules · 55 Hours

article GCP global infrastructure — regions, zones, edge network, and PoPs

50:00

article Projects, billing accounts, and organisational hierarchy

45:00

article Cloud Console, Cloud Shell, gcloud CLI, and SDK setup

40:00

science Lab: Lab: Configure a GCP project with billing alerts, IAM, and Cloud Shell

25:00

article IAM — roles, permissions, service accounts, conditions, and best practices

55:00

article Resource hierarchy — organisation, folder, project, and resource-level policies

50:00

article Cloud KMS, Secret Manager, and security command center

45:00

science Lab: Lab: Implement least-privilege IAM with custom roles and service accounts

30:00

article VM types — machine families, custom machine types, preemptible/Spot VMs

55:00

article Managed instance groups — autoscaling, health checks, rolling updates

55:00

article Cloud Load Balancing — HTTP(S), SSL, TCP, and internal load balancers

50:00

article Instance templates, startup scripts, and OS image management

40:00

science Lab: Lab: Deploy a highly-available web tier with MIG, health checks, and HTTPS load balancing

40:00

article GKE cluster modes — Standard vs Autopilot, regional vs zonal

55:00

article Workloads, services, Ingress, and Network Policies on GKE

55:00

article GKE security — Workload Identity, Binary Authorization, and node security

50:00

science Lab: Lab: Deploy a containerised application on GKE Autopilot with Workload Identity

30:00

article Cloud Run — stateless containers, concurrency, min/max instances, Cloud Run jobs

55:00

article Cloud Functions — event triggers, Pub/Sub integration, and HTTP functions

50:00

science Lab: Lab: Deploy a microservice on Cloud Run with Pub/Sub event triggers

35:00

article Cloud Storage — buckets, storage classes, lifecycle, ACLs, signed URLs

55:00

article Cloud SQL — MySQL/PostgreSQL, HA, read replicas, automated backups

50:00

article Firestore / Datastore — document model, queries, composite indexes

45:00

article BigQuery — datasets, tables, partitioning, clustering, and SQL queries

50:00

science Lab: Lab: Migrate a relational database to Cloud SQL with automated backup and monitoring

40:00

article VPC architecture — custom networks, subnets, routes, and IP addressing

55:00

article Firewall rules — ingress/egress, service accounts, tags, and priority

50:00

article VPC peering, Shared VPC, and Private Google Access

45:00

article Cloud VPN, Cloud Interconnect, and hybrid connectivity

45:00

science Lab: Lab: Design and deploy a multi-tier VPC with DMZ, private, and data subnets

45:00

article Cloud Monitoring — dashboards, uptime checks, alerting policies, SLOs

55:00

article Cloud Logging — log-based metrics, sinks, and log explorer queries

45:00

article Cloud Trace, Cloud Profiler, and Error Reporting

35:00

science Lab: Lab: Build a full monitoring stack with dashboards, alerts, and log-based metrics

35:00

article Cloud Build — triggers, build steps, substitutions, and Artifact Registry

55:00

article Terraform with GCP provider — resources, modules, and remote state in GCS

55:00

article Cloud Deploy for progressive delivery on GKE and Cloud Run

40:00

science Lab: Lab: CI/CD pipeline — Cloud Build builds, Terraform provisions, Cloud Deploy deploys to GKE

30:00

article Vertex AI overview — AutoML, Workbench, and Model Registry

50:00

article Document AI, Vision AI, and Natural Language API for cloud automation

45:00

science Lab: Lab: Build a document processing pipeline with Document AI and Cloud Storage

45:00

Module Objective: Use Google Cloud AI (Vertex AI), GitHub Copilot, and Claude to generate gcloud commands, create Terraform configurations, and prepare for ACE exam scenarios with AI-powered practice questions.

article Using Copilot and Claude to generate gcloud commands and Terraform configs

45:00

article AI-assisted exam preparation — practice questions with explanations

45:00

science Lab: Lab: Generate a full GCP architecture diagram and Terraform code with AI assistance

30:00

article Full architecture review — design a 3-tier application on GCP covering all exam domains

120:00

science Lab: Lab: Deploy the complete architecture on GCP with monitoring, IAM, and CI/CD

120:00

Tools & Technologies You'll Master

☁️ Compute Engine☸️ GKE🚀 Cloud Run📦 Cloud Storage🗄️ Cloud SQL📊 BigQuery🔐 IAM🌐 VPC Networking🔔 Cloud Monitoring📋 Cloud Logging🏗️ Terraform🔧 Cloud Build🚢 Cloud Deploy📁 Artifact Registry🤖 GitHub Copilot🧠 Claude🌟 Vertex AI💻 gcloud CLI

Real-World Projects

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3-Tier Web Application GCE + Cloud SQL + Cloud Storage + LB

Deploy a production 3-tier web application — managed instance group web tier, Cloud SQL database tier, Cloud Storage for static assets — with HTTPS load balancing and Cloud Monitoring.

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Containerised Microservices Platform GKE Autopilot + Cloud Build + Cloud Deploy

Build a CI/CD pipeline that automatically builds containers with Cloud Build, stores in Artifact Registry, and progressively deploys to GKE Autopilot with Workload Identity security.

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Data Analytics Pipeline BigQuery + Cloud Storage + Dataflow

Build a data analytics pipeline — ingest CSV files to Cloud Storage, process with Dataflow, load to BigQuery, and create dashboards with Looker Studio for business insights.

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AI-Assisted Architecture Design Copilot + Claude + Terraform + GCP

Use Claude to design a GCP architecture from business requirements, GitHub Copilot to generate Terraform code, and deploy the full infrastructure on GCP with monitoring and alerting.

Certification

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Thick Brain Technology — GCP Associate Cloud Engineer Preparation Certificate

Upon completing all labs and the capstone project, you receive a TBT certificate covering all GCP ACE exam domains. Combined with the hands-on lab experience, this prepares you directly for the official Google Cloud Associate Cloud Engineer certification exam.

check_circleIndustry-recognised check_circleVerifiable check_circleLifetime access

Career Opportunities

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Cloud Engineer

Manage GCP infrastructure — compute, storage, networking, and containers — for enterprise applications.

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DevOps Engineer

Build GCP CI/CD pipelines with Cloud Build, Artifact Registry, and Cloud Deploy for modern delivery.

analytics

Data Engineer

Design and operate data pipelines on GCP using BigQuery, Cloud Storage, and Dataflow.

security

Cloud Security Engineer

Implement GCP IAM, VPC security, Cloud Armor, and compliance frameworks for enterprise governance.

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Site Reliability Engineer

Ensure GCP application reliability with Cloud Monitoring, SLOs, and AI-powered anomaly detection.

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Platform Engineer

Build GCP-native developer platforms with Terraform, GKE, and self-service provisioning workflows.

Frequently Asked Questions

Basic IT knowledge is helpful. No prior GCP experience required. The course starts from GCP fundamentals and builds up to exam-level complexity.

GitHub Copilot generates gcloud commands and Terraform configurations. Claude explains GCP services, answers architecture questions, and creates practice exam scenarios with detailed explanations.

Yes — all labs run on real GCP projects with provided credentials. You create and manage actual GCP resources, making your learning genuinely hands-on.

Extremely well. Every module maps directly to exam domains with practice questions and domain summaries. Our pass rate for the ACE exam is over 88% for students who complete all labs.

55 hours of content. Most students complete in 5–7 weeks at 2 hours/day. Lifetime access ensures you can revisit content before your exam.

Student Success Stories

KS

Kiran S.

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"Passed the GCP ACE exam on my first attempt after completing this course. The lab environments are exactly what the exam tests. The Terraform module saved me hours in real work too."

LP

Lakshmi P.

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"The BigQuery module alone was worth the course fee. I implemented a data pipeline at work that replaced a manual spreadsheet process. My manager was amazed."

RV

Ravi V.

starstarstarstarstar

"The AI-assisted architecture design in the capstone is brilliant. I used Claude to design 3 GCP architectures for client proposals and they were hired. Game-changing capability."

₹37,999 51% OFF

₹18,499

Limited time offer · Ends in 2 days

47

hrs

23

min

59

sec

Enroll Now

This course includes:

check_circle 55 hours on-demand content

check_circle 30+ hands-on labs on real GCP projects

check_circle 4 end-to-end cloud projects

check_circle ACE exam practice questions and domain summaries

check_circle GCP project access with free credits

check_circle Certificate of completion

check_circle Lifetime access + GCP service updates

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