Google Cloud Architect Certification
End-to-end learning path, mapped to Cloud Architect responsibilities
Architecture mastery: IAM, networking, compute, storage, databases
Practise through guided labs on VPC, VMs, GKE, Cloud Run
Certified instructors bring practical cloud architecture delivery experience
Build scalable, reliable systems with monitoring, logging, and observability
Confidently prepare for the Google Cloud Professional Architect exam
4.8/53130 EnrolledEnrolled Learners
4.8/53130 EnrolledEnrolled Learners
Overview
What you will learn:
- Master Google Cloud fundamentals covering storage, containers, applications, and access
- Configure VPC networking and Compute Engine using Console and Cloud Shell
- Implement IAM, Cloud Storage, Cloud SQL, and BigQuery billing analysis
- Google Cloud Architect Certification helps develop scalable load balancing and autoscaling expertise
- Deploy services using Cloud Build, GKE Autopilot clusters, and Cloud Run
- Monitor systems using Operations Suite, audit logs, alerting, and Cloud Trace
Upcoming sessions
Curriculum
1
Introducing Google Cloud
2
Resources and Access in the Cloud
3
Virtual Machines and Networks in the Cloud
4
Storage in the Cloud
5
Containers in the Cloud
6
Applications in the Cloud
7
Prompt Engineering
8
Google Cloud Fundamentals: Getting Started with Cloud Marketplace
9
Getting Started with VPC Networking and Google Compute Engine
10
Optional - Google Cloud Fundamentals: Getting Started with Cloud Storage and Cloud SQL
11
Optional - Hello Cloud Run
1
Interacting with Google Cloud
2
Virtual Networks
3
Virtual Machines
4
Working with the Google Cloud Console and Cloud Shell
5
VPC Networking
6
Optional - Implement Private Google Access and Cloud NAT
7
Creating Virtual Machines
8
Optional - Working with Virtual Machines
1
Identity and Access Management (IAM)
2
Storage and Database Services
3
Resource Management
4
Exploring IAM
5
Cloud Storage
6
Optional - Implementing Cloud SQL
7
Optional - Examining Billing data with BigQuery
1
Interconnecting Networks
2
Load Balancing and Autoscaling
3
Infrastructure Automation
4
Managed Services
5
Configuring Google Cloud HA VPN
6
Configuring an Application Load Balancer with Autoscaling
7
Optional - Configure an Internal Network Load Balancer
8
Optional - Automating the Deployment of Infrastructure Using Terraform
1
Introduction to Containers and Kubernetes
2
Kubernetes Architecture
3
Kubernetes Operations
4
Working with Cloud Build
5
Deploying GKE Autopilot Clusters
6
Optional - Deploying GKE Autopilot Clusters from Cloud Shell
1
Fundamentals of Cloud Run
2
Service Identity and Authentication
3
Application Development, Testing, and Integration
4
Implementing Least Privilege IAM Policy Bindings in Cloud Run [APPRUN]
5
Using Cloud PubSub with Cloud Run [APPRUN]
1
Defining Services
2
Microservice Design and Architecture
3
DevOps Automation
4
Choosing Storage Solutions
5
Google Cloud and Hybrid Network Architecture
6
Deploying Applications to Google Cloud
7
Designing Reliable Systems
8
Security
9
Maintenance and Monitoring
10
Building a DevOps Pipeline
11
Deploying Apps to Google Cloud
12
Optional - Monitoring Applications in Google Cloud
1
Introduction to Google Cloud Operations Suite
2
Monitoring Critical Systems
3
Alerting Policies
4
Advanced Logging and Analysis
5
Working with Audit Logs
6
Monitoring and Dashboarding Multiple Projects
7
Alerting in Google Cloud
8
Optional - Log Analytics on Google Cloud
9
Cloud Audit Logs
1
Configuring Google Cloud Services for Observability
2
Monitoring Google Cloud Network
3
Investigating Application Performance Issues
4
Optimising the Costs for Google Cloud Observability
5
Monitoring a Compute Engine using the Ops Agent
6
Analysing Network Traffic with VPC Flow Logs
7
Optional - View application latency with Cloud Trace
Meet your Trainer
Our Trainers
Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.
We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.
Learning Outcomes
After completion of the course, you will master the following:
1
Master VPC Networking and Google Compute Engine to design reliable cloud foundations
2
Implement Identity and Access Management (IAM) least-privilege policy bindings for secure operations
3
Automate infrastructure deployment using Terraform, load balancing, and autoscaling for scalable services
4
Deploy containers with Google Kubernetes Engine Autopilot and Cloud Build for modern delivery
5
Monitor and troubleshoot systems with Google Cloud Operations Suite, Cloud Audit Logs, and VPC Flow Logs
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Overall ratings by our students
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Frequently asked questions
Google Cloud Architect Certification validates that you can design, build, and operate secure, scalable Google Cloud solutions aligned with real business requirements. This learning path progresses from core infrastructure to networking, IAM, storage, Kubernetes (GKE), Cloud Run, reliability, and observability, supported by guided labs. It signals the ability to make sound architecture choices across cost, performance, security, and operational continuity, which helps organisations build dependable cloud environments and deliver services with confidence.
Google Cloud Architect Certification is a Google-issued professional credential, recognised globally, across industries that use Google Cloud for infrastructure, data platforms, and application hosting. It is also time-bound (validity is defined by Google), which helps employers trust that certified professionals stay current.
Google Cloud Architect Certification strengthens architecture credibility and decision quality:
- Improve design trade-offs across cost, performance, resilience, and security
- Standardise cloud patterns for networking, identity, storage, and runtimes
- Reduce rework through clearer documentation and architecture review readiness
- Support stakeholder alignment using measurable operational and risk outcomes
- Accelerate progression into senior cloud architecture job roles
This Google Cloud Architect course fits professionals moving into architecture ownership:
- Cloud engineers, DevOps/SRE, infrastructure, network, and security professionals
- Teams supporting migrations, hybrid connectivity, and platform standardisation
- Consultants delivering repeatable Google Cloud reference architectures for clients
- Professionals preparing for the Google Cloud Certified Professional Cloud Architect exam
- Future job roles such as Platform Architect and Cloud Consultant
Employers prioritise architecture skills that reduce risk and improve operations:
- VPC design: segmentation, routing, connectivity, hybrid patterns
- IAM governance: least privilege, role design, access lifecycle controls
- Reliability engineering: load balancing, autoscaling, resilient deployments
- Runtime decisions: GKE patterns, Cloud Run service identity, and integration
- Observability discipline: metrics, logs, alerts, audit log investigation
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