To ensure that participants are well-prepared and can gain the maximum benefit from the Certified Kubernetes Administrator (CKA) course, the following are the minimum prerequisites:

• Basic understanding of Linux: Familiarity with Linux command line operations, as Kubernetes often runs on Linux.
• Fundamentals of containerization: Knowledge of container concepts and containerization technology, such as Docker, is essential.
• Networking basics: Comprehension of basic networking concepts, including TCP/IP, IP addresses, HTTP, DNS.
• Command line interface (CLI) experience: Comfort with using the CLI, as Kubernetes command-line tool kubectl will be extensively used.
• YAML proficiency: Ability to read and write YAML files, as Kubernetes manifests and configuration files are typically written in YAML.

While prior experience with cloud computing and orchestration isn't strictly necessary, it can be beneficial. This course is designed to be accessible for those who are new to Kubernetes but have some foundational IT and technical knowledge.

Target Audience for Certified Kubernetes Administrator (CKA)

The Certified Kubernetes Administrator (CKA) course caters to professionals seeking expertise in Kubernetes deployment, management, and scaling.

• DevOps Engineers
• Systems Administrators
• Cloud Engineers
• Site Reliability Engineers (SRE)
• Technical Leads
• Infrastructure Architects
• Software Developers with an interest in deployment and network operations
• IT Project Managers involved in software development lifecycle management
• Security Professionals responsible for containerized application security
• Application Developers looking to understand the deployment environment
• Technical Support Professionals specializing in container technologies
• IT Professionals aiming to specialize in orchestration and cloud-native deployments

Learning Objectives - What you will Learn in this Certified Kubernetes Administrator (CKA)?

Introduction to the Course's Learning Outcomes and Concepts Covered

The Certified Kubernetes Administrator (CKA) course equips learners with in-depth knowledge and hands-on skills to deploy, manage, and troubleshoot Kubernetes clusters effectively.

Learning Objectives and Outcomes

• Understand container orchestration fundamentals and the components and architecture of Kubernetes, preparing for efficient cluster design and deployment.
• Gain practical experience in setting up Kubernetes clusters, including configuring master and node components, and choosing the right network solutions.
• Master resource management by handling pods, labels, selectors, replica sets, services, and DaemonSets to ensure high availability and scalability.
• Learn to schedule workloads manually and automatically using scheduler features like taints, tolerations, node selectors, and node affinity.
• Manage application deployments, rollouts, and updates, leveraging Kubernetes deployment strategies for continuous integration and delivery.
• Configure and manage environment variables within a cluster using ConfigMaps, Secrets, and volume mounts to ensure secure and flexible configuration management.
• Understand storage in Kubernetes by working with volumes, persistent volumes, and persistent volume claims to maintain stateful applications.
• Implement robust security measures by managing authentication, users, service accounts, and role-based access control (RBAC) within a Kubernetes environment.
• Perform cluster maintenance tasks such as operating system upgrades, cluster version updates, ETCD backups, and manage static pods and cron jobs.
• Develop proficiency in logging and monitoring Kubernetes clusters and applications, using tools like Prometheus for comprehensive observability.
• Navigate Kubernetes networking, including CNI, pod networking, DNS configurations, ingress rules, namespaces, and load balancing to ensure proper communication within the cluster.
• Troubleshoot common cluster issues related to ETCD, kubelet, container runtime, and scheduler to minimize downtime and maintain cluster health.
• Configure and manage high-availability Kubernetes clusters with multi-master setups to ensure fault tolerance and service reliability.