Google Cloud Platform Administration | Training

📚 Intermediate 45 hours 🏷️ Cloud 👨‍🏫 TBA
Exam Code Associate Cloud Engineer
Level Intermediate
Duration 45 hours
Format Live Online
0+ Learning Hours
0+ Practical Labs
0 Learning Modules
24/7 Learning Resources
0% Hands-On Focus
Overview

Course Overview

Google Cloud is widely used to build modern applications, manage infrastructure, store data, and run scalable cloud services. This course is designed for learners who want to understand Google Cloud in a simple and practical way.

You will start with basic cloud concepts and gradually learn how to create Google Cloud projects, manage billing, configure IAM, deploy virtual machines, build VPC networks, manage storage and databases, work with Google Kubernetes Engine (GKE), use Cloud Run and Cloud Functions, and monitor cloud resources.

The training also introduces the gcloud CLI and Cloud Shell, so you can manage Google Cloud resources from the command line.

The course is designed around practical learning. Instead of only studying theory, you will work with real Google Cloud services and complete hands-on exercises that help you understand how cloud environments are used in real IT jobs.

The curriculum is also aligned with the major areas covered by the Google Cloud Associate Cloud Engineer certification, including environment setup, solution planning, deployment, operations, access, and security.

What You'll Learn

  • GCP projects, billing and resource hierarchy
  • IAM, service accounts and access control
  • Compute Engine and managed compute services
  • Cloud Storage and database basics
  • VPC networks, subnets and firewall rules
  • Load balancing, DNS and connectivity
  • Monitoring, logging and troubleshooting
  • Practical GCP deployment and certification review

By the end of this course, you will be able to:

  • Understand cloud computing and Google Cloud fundamentals.
  • Create and manage Google Cloud projects.
  • Understand organizations, folders, projects, and resources.
  • Manage Google Cloud billing and budgets.
  • Configure IAM users, groups, roles, and service accounts.
  • Create and manage Compute Engine virtual machines.
  • Configure VPC networks, subnets, routes, and firewall rules.
  • Work with Cloud Storage and storage options.
  • Configure load balancing and Cloud DNS.
  • Monitor cloud resources using Cloud Monitoring and Cloud Logging.
  • Create and manage Google Kubernetes Engine clusters.
  • Deploy applications using GKE and Cloud Run.
  • Understand serverless services such as Cloud Run and Cloud Functions.
  • Use Cloud Shell, gcloud, and other Google Cloud CLI tools.
  • Work with Cloud SQL, BigQuery, Spanner, and other data services.
  • Apply basic cloud security and access-control practices.
  • Prepare for the Google Cloud Associate Cloud Engineer certification.
Curriculum

Course Curriculum

Structured learning from fundamentals to advanced administration

  • What is cloud computing?
  • Traditional IT vs. cloud computing
  • Public, private, and hybrid cloud
  • IaaS, PaaS, and SaaS
  • Virtualization and cloud infrastructure
  • Introduction to Google Cloud
  • Google Cloud global infrastructure
  • Google Cloud Console
  • Google Cloud resource hierarchy
  • Organizations and folders
  • Projects and resources
  • Creating and managing projects
  • Enabling APIs
  • Understanding regions and zones
  • Resource locations and planning
  • Understanding Google Cloud billing
  • Billing accounts
  • Linking projects with billing accounts
  • Budgets and alerts
  • Google Cloud pricing
  • Pricing Calculator
  • Cost monitoring
  • Basic cost optimization
  • IAM fundamentals
  • Users and groups
  • Service accounts
  • Roles and permissions
  • Basic, predefined, and custom roles
  • IAM policies
  • Project-level and organization-level access
  • Least-privilege access
  • Service account management
  • Introduction to Compute Engine
  • Creating virtual machines
  • VM machine types
  • Boot disks and attached disks
  • SSH access
  • VM lifecycle management
  • Snapshots
  • Images and machine images
  • Instance templates
  • Managed instance groups
  • Autoscaling
  • VM backup and recovery
  • VPC networking
  • Default and custom VPCs
  • Subnets
  • Routes
  • Internal and external IP addresses
  • Firewall rules
  • Ingress and egress traffic
  • VPC Network Peering
  • Cloud VPN introduction
  • Cloud NAT
  • Network troubleshooting
  • Introduction to Cloud Storage
  • Buckets and objects
  • Storage classes
  • Uploading and downloading objects
  • Access permissions
  • Object lifecycle management
  • Versioning
  • Backup and recovery
  • Static website hosting
  • Storage security
  • Why load balancing is required
  • Google Cloud Load Balancing
  • HTTP/HTTPS load balancing
  • Backend services
  • Health checks
  • Managed instance groups with load balancing
  • Public and private services
  • Cloud DNS
  • DNS records
  • Basic traffic management
  • Cloud Monitoring
  • Cloud Logging
  • Metrics
  • Logs
  • Dashboards
  • Alerting policies
  • Notification channels
  • Log filtering
  • Troubleshooting cloud resources
  • Monitoring VM and application health
  • Operational best practices
  • Containers and containerization
  • Introduction to Kubernetes
  • Kubernetes architecture
  • GKE overview
  • GKE cluster creation
  • Autopilot and Standard concepts
  • Nodes and node pools
  • Pods
  • Deployments
  • Services
  • Ingress
  • ConfigMaps and Secrets
  • Application deployment
  • Application updates
  • Scaling applications
  • Basic GKE troubleshooting
  • What is serverless computing?
  • Cloud Run
  • Cloud Functions
  • Deploying applications
  • Revision management
  • Scaling
  • Event-driven applications
  • Pub/Sub integration
  • Choosing between Compute Engine, GKE, Cloud Run, and Cloud Functions
  • Google Cloud Shell
  • Installing/configuring Cloud SDK
  • gcloud commands
  • Project configuration
  • Managing Compute Engine with CLI
  • Managing Cloud Storage with CLI
  • gsutil concepts
  • Working with APIs from the command line
  • Cloud SQL
  • Relational databases
  • Cloud SQL deployment
  • Backup and restore
  • BigQuery introduction
  • Firestore introduction
  • Spanner introduction
  • Bigtable overview
  • Choosing the right database for a workload
  • Cloud security fundamentals
  • IAM security
  • Service accounts
  • Least privilege
  • Firewall security
  • Data protection
  • Encryption basics
  • Audit logs
  • Security monitoring
  • Secure cloud architecture
  • Introduction to Infrastructure as Code
  • Terraform fundamentals
  • Google Cloud resource automation
  • Configuration management
  • Basic deployment automation
  • Reusable infrastructure
  • Introduction to CI/CD concepts
  • Build a complete Google Cloud environment
  • Deploy a web application
  • Configure VPC networking
  • Deploy and manage Compute Engine VMs
  • Configure Cloud Storage
  • Deploy an application on GKE
  • Deploy a serverless application
  • Configure monitoring and alerts
  • Apply IAM security
  • Troubleshoot common cloud problems
  • Practice exam questions
  • Associate Cloud Engineer exam preparation
  • No formal Google Cloud certification prerequisite.
  • Basic computer and IT knowledge is recommended.
  • Basic understanding of networking is helpful.
  • Basic Linux knowledge is helpful but not mandatory.
  • Basic understanding of virtualization is useful.
  • Programming experience is helpful for some modules but is not required.
  • For the certification exam, Google recommends around 6+ months of hands-on Google Cloud experience.
  • Google Cloud skills are useful for modern cloud and DevOps careers.
  • You learn practical skills instead of only studying theory.
  • The course covers important Google Cloud services used in real environments.
  • You build knowledge across compute, networking, storage, security, databases, and Kubernetes.
  • You learn both the Google Cloud Console and command-line tools.
  • The training provides a strong foundation for the Associate Cloud Engineer certification.
  • Google recommends hands-on Google Cloud experience before taking the ACE exam, making practical lab work especially valuable.
  • Google Cloud skills can also support future learning in DevOps, Kubernetes, cloud security, data engineering, and cloud architecture.

This course is suitable for:

  • Students and IT graduates.
  • Beginners interested in cloud computing.
  • Linux and system administrators.
  • Network administrators and engineers.
  • DevOps engineers.
  • Software developers.
  • IT support professionals.
  • Infrastructure engineers.
  • Professionals moving from traditional data centers to cloud.
  • AWS or Azure professionals who want to add Google Cloud skills.
  • Anyone preparing for the Google Cloud Associate Cloud Engineer certification.

After completing the training, you can work toward roles such as:

  • Google Cloud Associate Cloud Engineer
  • Cloud Engineer
  • Junior Cloud Engineer
  • Cloud Administrator
  • Cloud Support Engineer
  • DevOps Engineer
  • Infrastructure Engineer
  • Cloud Operations Engineer
  • Cloud Security Associate
  • Site Reliability Engineer
  • Kubernetes / GKE Administrator
  • Cloud Network Engineer

The Google Cloud Associate Cloud Engineer certification is focused on deploying and securing applications and infrastructure, operating cloud environments, and configuring access and security.

Google Cloud Associate Cloud Engineer

Exam Detail Information
Certification Google Cloud Associate Cloud Engineer
Exam Code Associate Cloud Engineer / ACE
Level Associate
Exam Duration 2 hours
Questions 50–60
Question Type Multiple Choice & Multiple Select
Exam Fee $125 USD + applicable tax
Prerequisites None
Recommended Experience 6+ months hands-on Google Cloud
Exam Delivery Online proctored or testing center
Certification Validity 3 years
Exam Languages English, Japanese, Spanish, Portuguese
Passing Score Not officially published by Google; result is Pass/Fail

Google's current certification page confirms the 2-hour duration, 50–60 questions, $125 registration fee, online/onsite delivery, no prerequisites, and three-year validity.

Recommended website wording for passing score:

Passing Score: Google Cloud does not publish the exact passing score. Candidates receive a Pass/Fail result.

This is safer and more accurate than publishing “70%” as an official Google requirement

Methodology

Our Learning Methodology

A structured approach to building practical skills

01

Learn

Understand the concept through expert-led instruction

02

Practice

Follow guided exercises to reinforce learning

03

Build

Complete practical labs in real environments

04

Validate

Take quizzes and exam simulations to test your skills

Instructor

Learn From An Expert

Experienced technology professional with real-world expertise

T

TechHub Instructor

Lead Instructor

A certified professional with extensive experience in the field. Passionate about helping students build practical skills that lead to rewarding careers.

5+Years Experience
500+Students Trained
10+Certifications
Why TechHub

Why Learn With TechHub?

Practical, career-focused education designed for real-world success

💻

Hands-On Learning

Practice instead of simply watching. Build skills through real labs.

🎯

Industry-Focused

Learn skills used in real production environments.

🧪

Practical Labs

Work with realistic scenarios and exercises.

👨‍🏫

Expert Instruction

Learn from experienced professionals.

📝

Exam Preparation

Practice certification-style scenarios.

🚀

Career-Focused

Build skills for real job roles.

TECHHUB CERTIFICATION

Google Cloud Platform Administration | Training

Practical training for real-world success

Format Live Online
Duration 45 hours
Level Intermediate
Labs Hands-On
Certification Certification Available
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Google Cloud Platform Administration | Training
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