Kubernetes and Cloud Native Associate (KCNA) Course Overview

To ensure that participants can effectively grasp the concepts and practical skills taught in the Kubernetes and Cloud Native Associate (KCNA) course, the following prerequisites are recommended:

• Basic understanding of Linux command line and Linux operating system environments.
• Familiarity with the basic concepts of containers, such as Docker.
• Fundamental knowledge of cloud computing and the cloud service models (IaaS, PaaS, and SaaS).
• Awareness of basic software development or system administration processes can be beneficial.
• No prior knowledge of Kubernetes is strictly required, but any exposure to the tool or similar orchestration systems could be advantageous.

These prerequisites are designed to provide a foundation upon which the course will build. They are not meant to be barriers to entry but rather to ensure that you can keep pace with the course content and fully benefit from the training.

Target Audience for Kubernetes and Cloud Native Associate (KCNA)

The Kubernetes and Cloud Native Associate course offers deep insights into Kubernetes and cloud-native technologies, ideal for IT professionals seeking to advance their skills.

• DevOps Engineers
• Cloud Engineers
• Software Developers
• System Administrators
• IT Project Managers
• Technical Leads
• Cloud Architects
• Infrastructure Architects
• Application Developers
• Site Reliability Engineers (SRE)
• IT Operations Staff
• Open Source Enthusiasts
• IT Graduates and Undergraduates with a focus on cloud computing
• Professionals looking to switch to cloud-native roles

Learning Objectives - What you will Learn in this Kubernetes and Cloud Native Associate (KCNA)?

Introduction to the Learning Outcomes and Concepts Covered

The KCNA course equips learners with foundational knowledge and skills in Kubernetes and Cloud Native technologies, focusing on orchestration, architecture, observability, and application delivery.

Learning Objectives and Outcomes

• Understand the core components and resources of Kubernetes, including pods, services, and deployments.
• Comprehend the Kubernetes cluster architecture and how the control plane and worker nodes interact.
• Learn to interact with the Kubernetes API and understand its significance in managing cluster operations.
• Gain knowledge about containerization, its benefits, and how containers are managed and orchestrated in Kubernetes.
• Master the principles of scheduling and how Kubernetes decides where to run applications.
• Grasp the basics of container orchestration, including lifecycle management, health checks, and scalability.
• Analyze Kubernetes security best practices, including authentication, authorization, and network policies.
• Explore Kubernetes networking, service discovery, and how communication is handled both inside and outside the cluster.
• Understand the role and configuration of service meshes and storage solutions in a cloud-native environment.
• Learn about cloud-native observability, including telemetry, monitoring with Prometheus, and efficient cost management.
• Familiarize with autoscaling, serverless architectures, and their roles in cloud-native infrastructure.
• Recognize the importance of community, governance, and open standards in the Cloud Native Computing Foundation (CNCF) ecosystem.
• Identify different roles in the cloud-native landscape and the competencies required for each.
• Gain insights into modern application delivery, encompassing GitOps, continuous integration (CI), and continuous deployment (CD) practices.