Cluster Management Courses and Certifications

Data Storage Fundamentals with IBM Storage Scale

Learn to install, configure, and manage IBM Storage Scale clusters, covering storage management, high availability, and information lifecycle management for Linux and AIX environments.

• Coursera
• 13 hours 58 minutes
• Self-Paced
• Paid Course

Coursera

ArgoCD Essentials: Automating Kubernetes Deployments

Master ArgoCD for automating Kubernetes deployments with GitOps principles. Gain hands-on experience with configuration, monitoring, and streamlining deployment workflows across single or multiple clusters.

• Coursera
• 3 hours 8 minutes
• Self-Paced
• Paid Course

Certified Kubernetes Administrator (CKA): Unit 6

Master Kubernetes administration through two full-length practice exams with detailed walkthroughs to assess readiness and identify improvement areas before certification.

• Coursera
• 3 hours 56 minutes
• Self-Paced
• Paid Course

IBM Storage Scale Administration

Comprehensive training on administering IBM Storage Scale clusters, covering installation, upgrades, monitoring, security, and performance optimization for IT professionals.

• Coursera
• 13 hours 43 minutes
• Self-Paced
• Paid Course

Certified Kubernetes Administrator (CKA): Unit 5

Master troubleshooting Kubernetes clusters through logging, monitoring, and hands-on labs covering nodes, services, ingress, and cluster components for reliable operations.

• Coursera
• 53 minutes
• Self-Paced
• Paid Course

Coursera

Deploy, Manage, and Orchestrate Your Models

Master containerization and orchestration for ML models using Docker and Kubernetes. Build, deploy, and manage scalable machine learning systems with hands-on projects and real-world applications.

• Coursera
• 1 hour 25 minutes
• Self-Paced
• Paid Course

Certified Kubernetes Application Developer (CKAD): Unit 4

Dive into Kubernetes services and networking to master application traffic management and optimization within clusters through hands-on labs and expert guidance.

• Coursera
• 2 hours 30 minutes
• Self-Paced
• Paid Course

The Amazon EKS Cluster

Explore AWS Elastic Kubernetes Service architecture, deploy clusters, and upgrade to the latest Kubernetes version while reducing operational overhead.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Managing a GKE Multi-tenant Cluster with Namespaces

This is a self-paced lab that takes place in the Google Cloud console. This lab explores best practices in managing and monitoring a multi-tenant cluster in order to optimize your costs.

• Coursera
• 1 hour 15 minutes
• Self-Paced
• Paid Course

EDUCBA

Kubernetes: From Fundamentals to Advanced Deployment

Master Kubernetes from basics to advanced deployment, covering architecture, cluster management, Pods, autoscaling, and real-world applications like WordPress integration.

• Coursera
• 4 hours 57 minutes
• Self-Paced
• Paid Course

EDUCBA

Hadoop: Analyze, Configure & Manage Big Data

Master Big Data challenges through Hadoop architecture, HDFS configuration, MapReduce programming, and advanced cluster management with hands-on Java integration and enterprise operations.

• Coursera
• 16 hours 27 minutes
• Self-Paced
• Paid Course

APIs Explorer: Create and Update a Cluster

This is a self-paced lab that takes place in the Google Cloud console. In this lab you’ll learn how to use an inline Google APIs Explorer template to call the Cloud Dataproc API to create a cluster, run a simple Spark job in the cluster, and update the…

• Coursera
• 1 hour
• Self-Paced
• Paid Course

EDUCBA

Kubernetes Case Studies: Deploy & Troubleshoot Apps

Master Kubernetes deployment and troubleshooting through hands-on cluster setup, secure app deployment, RBAC configuration, and custom Docker image creation with monitoring integration.

• Coursera
• 7 hours 58 minutes
• Self-Paced
• Paid Course

Packt

Foundations of Kubernetes for Enterprise Environments

Master Docker, Kubernetes, and enterprise networking with hands-on cluster deployment, load balancing, DNS management, and network policies for scalable, high-availability environments.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Manage Multi-cluster Workloads at Scale with GKE Fleets and Teams

Provision and manage infrastructure resources across multiple clusters using GKE Enterprise's fleet team management features for scalable workload distribution.

• Coursera
• 1 hour
• Self-Paced
• Paid Course