Team-wide proficiency in Google Cloud container technologies
Designed for DevOps engineers and cloud infrastructure architects
Customised enterprise learning with in-house training options
Aligned with KSA Vision 2030 and UAE Vision 2031
Maximum ROI with CI/CD pipeline integration strategies
What our training includes:
Upcoming sessions
Use the Google Cloud Console
Use Cloud Shell Define Cloud Computing
Identify Google Cloud Compute Services
Understand Regions and Zones
Understand the Cloud Resource Hierarchy
Administer your Google Cloud Resources
Create a Container Using Cloud Build
Store a Container in Container Registry
Understand the Relationship Between Kubernetes and Google Kubernetes Engine (GKE)
Understand how to Choose Among Google Cloud Compute Platforms
Understand the Architecture of Kubernetes: Pods, Namespaces
Understand the Control-plane Components of Kubernetes
Create Container Images using Cloud Build
Store Container Images in Container Registry Create a Kubernetes Engine Cluster
The Kubectl Command Work with the Kubectl Command
Inspect the Cluster and Pods
View a Pod’s Console Output
Sign in to a Pod Interactively
Deployments
Ways to Create Deployments
Services and Scaling
Updating Deployments
Rolling Updates
Blue/Green Deployments
Canary Deployments
Managing Deployments
Jobs and CronJobs
Parallel Jobs
CronJobs
Cluster Scaling
Downscaling Node Pools
Controlling Pod Placement
Affinity and Anti-Affinity
Pod Placement Example
Taints and Tolerations
Getting Software into your Cluster
Introduction
Pod Networking
Services
Finding Services
Service Types and Load Balancers
How Load Balancers Work
Ingress Resource
Container-Native Load Balancing
Network Security
Volumes
Volume Types
The PersistentVolume Abstraction
More on PersistentVolumes
StatefulSets
ConfigMaps
Secrets
Understand Kubernetes Authentication and Authorization
Define Kubernetes RBAC Roles and Role Bindings for Accessing Resources in Namespaces
Define Kubernetes RBAC Cluster Roles and ClusterRole Bindings for Accessing Cluster-scoped Resources
Define Kubernetes Pod Security Policies
Understand the Structure of IAM
Define IAM roles and Policies for Kubernetes Engine Cluster Administration
Use Cloud Monitoring to monitor and manage availability and performance
Locate and inspect Kubernetes logs
Create probes for wellness checks on live applications
Understand Pros and Cons for Using a Managed Storage Service Versus Self-managed Containerized Storage
Enable Applications Running in GKE to Access Google Cloud Storage Services
Understand Use Cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, and BigQuery from within a Kubernetes Application
CI/CD overview
CI/CD for Google Kubernetes Engine
CI/CD Examples
Manage application code in a source repository that can trigger code changes to a continuous delivery pipeline
After training completion, enterprise personnel will be able to:
1
Deploy scalable containerised applications using Google Kubernetes Engine and Cloud Build infrastructure
2
Architect robust pod networking strategies and implement Container-Native Load Balancing for optimal performance
3
Configure Kubernetes RBAC roles, ClusterRole bindings, and IAM policies for enterprise security compliance
4
Develop seamless integration between GKE applications and Cloud Storage, Cloud SQL, Bigtable services
5
Design CI/CD pipelines utilising Cloud Build and source repositories for automated deployment workflows
6
Acquire leadership skills in cloud-native architecture and DevOps transformation across engineering teams
Overall ratings by our students
The Architecting with Google Kubernetes Engine course is a structured and enterprise-focused training program designed to help organizations architect, deploy, and operate containerised workloads on Google Cloud at scale. It covers the full Kubernetes lifecycle, from cloud foundations and cluster creation to networking, security, storage, monitoring, and CI/CD integration. This is done using Google Kubernetes Engine as the managed platform.
For organizations, this training delivers measurable value by enabling platform standardisation, reducing deployment risks, and improving application reliability. According to Google Cloud research report, organizations adopting Kubernetes-based platforms report up to 30–40% faster application release cycles.
The Architecting with Google Kubernetes Engine training is ideal for cloud architects, DevOps engineers, platform teams, SREs, and application engineers supporting enterprise workloads on Google Cloud. Ideal candidates are:
The GKE course helps organizations improve deployment consistency, system resilience, and operational efficiency across cloud-native environments. This helps to:
The Architecting with Google Kubernetes Engine training emphasises on hands-on experience with GKE operations. It directly translate to reduced incident resolution time and stronger production stability for enterprise teams. This includes:
The Architecting with Google Kubernetes Engine course addresses scaling at both the application and cluster levels, which helps organizations manage growth predictably. It supports deployments and scaling through the following:
Yes. Learners Point offers corporate, on-site, and customised Architecting with Google Kubernetes Engine training in the UAE and across the Middle East. This includes:
Compliance and governance are embedded throughout the training. These practices support audit readiness and regulatory compliance. This includes:
Learners Point stands out as one of the best institutes for delivering enterprise-grade Architecting with Google Kubernetes Engine training with a strong enterprise focus. This is because we include the following:
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