CKAD: Certified Kubernetes Application Developer Certification Video Training Course
CKAD: Certified Kubernetes Application Developer Certification Video Training Course includes 67 Lectures which proven in-depth knowledge on all key concepts of the exam. Pass your exam easily and learn everything you need with our CKAD: Certified Kubernetes Application Developer Certification Training Video Course.
Curriculum for CNCF CKAD Certification Video Training Course
CKAD: Certified Kubernetes Application Developer Certification Video Training Course Info:
The Complete Course from ExamCollection industry leading experts to help you prepare and provides the full 360 solution for self prep including CKAD: Certified Kubernetes Application Developer Certification Video Training Course, Practice Test Questions and Answers, Study Guide & Exam Dumps.
The Kubernetes Certified Application Developer certification is one of the most recognized credentials for professionals working in containerized application development. This course is designed to provide a structured path toward mastering the core concepts of Kubernetes while focusing on the practical knowledge necessary for the exam. The overview of this training introduces not just the exam content but also the philosophy behind Kubernetes, the learning goals of this program, and the way learners can approach both the theoretical and hands-on parts of the preparation.
The cloud-native ecosystem has become the backbone of modern software delivery. Containers, microservices, and orchestration have reshaped how applications are built and scaled. Kubernetes stands as the de facto platform for orchestrating containers at scale, which makes the knowledge of Kubernetes essential for developers who aim to remain competitive in the industry. The CKAD certification validates not only familiarity with Kubernetes but also the ability to deploy and troubleshoot applications in real-world scenarios.
This course has been developed with a dual purpose: to ensure that learners thoroughly prepare for the CKAD exam and to provide them with the competence to handle Kubernetes workloads in professional environments. Beyond the exam, the course equips learners with skills they can carry into enterprise-grade projects, ensuring they are not simply memorizing exam objectives but truly gaining expertise.
The training is structured into four parts, each focusing on different aspects of preparation. The first part introduces learners to the course, its modules, and how the entire structure builds up progressively. Each subsequent part covers additional requirements, descriptions, and intended audience to ensure clarity of scope. The first stage offers a comprehensive overview that sets the stage for in-depth learning, explains the examination domains, and provides the roadmap for successful completion.
By the end of this training program, learners will understand how Kubernetes orchestrates applications, how to build manifests, manage pods, configure deployments, handle networking, and work with advanced constructs like ConfigMaps, Secrets, and Helm. The outcome extends to soft skills as well, such as managing time effectively during the exam, practicing troubleshooting under pressure, and approaching practical labs with a clear strategy.
The CKAD exam is built around practical problem-solving within Kubernetes clusters. It tests domains like core concepts, configuration, multi-container pods, observability, pod design, services, networking, and state persistence. This training course provides focused practice on each of these domains while maintaining alignment with the weightage prescribed by the Cloud Native Computing Foundation. Learners will see how each module maps back to exam expectations.
Unlike theoretical certifications, the CKAD is performance-based. This means learners must interact with Kubernetes clusters in real time. The training emphasizes hands-on labs, command-line practice, and scenario-driven exercises. The overview explains how practice will be integrated into every section so learners develop muscle memory with kubectl commands and YAML configurations, both of which are central to success in the exam.
Every concept introduced in this course is tied to a real-world scenario. Learners are shown not only how Kubernetes features work but also why they are important in specific contexts, such as scaling a microservice under heavy load or rolling out a new version without downtime. This contextual approach ensures that knowledge is retained long-term and applied beyond the scope of the certification.
The course integrates frequent checkpoints, mock tests, and review sessions to help learners measure their progress. These assessments are designed to mimic the actual exam’s style and constraints. While this overview does not delve into every assessment in detail, it sets the expectation that learners will be evaluated throughout the training, ensuring readiness before the actual exam day.
The overview aims to set expectations, provide clarity on the scope of the training, and outline the relevance of Kubernetes in modern development. It also instills confidence by showing learners the structured path they will follow, ensuring that every hour of study is focused and purposeful.
The course modules form the backbone of the learning process. Each module addresses a core area of the CKAD exam and builds knowledge progressively. The modular approach ensures that learners can focus on one domain at a time while still appreciating how all domains interconnect in the broader Kubernetes ecosystem.
The first major module covers the foundation of Kubernetes. This includes understanding clusters, nodes, pods, namespaces, and the control plane. Learners dive into the architecture of Kubernetes and explore how components like the API server, scheduler, and controller manager interact. Mastering these basics is essential because nearly every question in the CKAD exam assumes an understanding of the core architecture.
This module emphasizes how applications are configured in Kubernetes. Learners practice writing manifests for ConfigMaps and Secrets, using environment variables, mounting volumes for configuration, and applying resource requests and limits. The module demonstrates how configuration drives application behavior and how developers can use these tools to create resilient and secure deployments.
Since the CKAD exam frequently tests the ability to design and manage pods with multiple containers, this module focuses on sidecar, adapter, and ambassador patterns. Learners explore why multi-container pods are used, how they communicate internally, and how to manage their lifecycle. By working through examples, learners understand when to use single versus multi-container approaches.
This module equips learners with the skills needed to monitor and troubleshoot applications. Topics include logging, metrics, probes, and debugging commands. Observability is a heavily tested area in the exam and a crucial part of real-world application management. Learners practice deploying probes, checking container health, and investigating issues through kubectl commands.
Application design in Kubernetes involves more than simply creating pods. This module focuses on higher-level objects like Deployments, ReplicaSets, and StatefulSets. Learners study rolling updates, rollbacks, canary deployments, and blue-green strategies. The design module also integrates service discovery, exposing workloads, and ensuring availability across clusters.
Networking is central to Kubernetes, and this module explains cluster IPs, node ports, load balancers, and DNS resolution inside the cluster. Learners practice defining services, troubleshooting connectivity, and using network policies to secure communication. This module not only prepares for exam tasks but also builds confidence in managing production-grade networking challenges.
Many workloads require persistent storage, and this module covers PersistentVolumes, PersistentVolumeClaims, and StorageClasses. Learners explore how Kubernetes abstracts storage, integrates with cloud providers, and ensures stateful applications maintain data across pod restarts. This knowledge is critical for exam scenarios involving databases and message queues.
While the exam primarily covers fundamentals, advanced concepts like Helm charts, custom resource definitions, and operator patterns are introduced in this module. These topics expand the learner’s perspective and prepare them for the future beyond certification, even if only basic Helm usage appears in practice scenarios.
Every module is tied to specific exam objectives, ensuring that learners are not wasting time on irrelevant material. Practice exercises are aligned with the exam structure, and mock scenarios are derived from actual exam-style challenges. The integration guarantees that learners walk away with both knowledge and confidence.
The modules section sets the foundation for structured learning. Each module is a building block, and together they form a comprehensive preparation program. By progressing through them, learners move from fundamentals to advanced concepts, u
Every structured learning program begins with a set of requirements that guide learners toward readiness. For a certification like the CKAD, requirements do not exist merely as formal prerequisites but rather as a framework to ensure that learners can engage fully with the material. This section outlines the technical, conceptual, and personal requirements necessary to benefit from the training and succeed in the certification exam.
Before diving into Kubernetes, learners should already possess a basic understanding of containers. This includes familiarity with how containers are built, shipped, and run, most often through Docker. Understanding concepts like container images, registries, and networking at the container level is essential because Kubernetes orchestrates containers at scale. Learners who are comfortable building Dockerfiles and managing images will find the transition into Kubernetes far smoother.
The Kubernetes environment is deeply rooted in Linux systems, as clusters are commonly deployed on Linux nodes. Learners should have familiarity with shell commands, process management, file permissions, and networking basics in Linux. Knowledge of commands such as grep, cat, ps, and systemctl helps learners interpret container logs, debug services, and manage system-level interactions that indirectly affect workloads inside clusters.
Kubernetes relies heavily on declarative configuration files written in YAML. A requirement of this course is comfort with reading and writing YAML syntax. Learners need to understand indentation, key-value pairs, nested structures, and lists. YAML is prone to errors if spacing or alignment is wrong, and the exam environment does not allow mistakes that cost time. Proficiency in YAML ensures that learners can quickly draft and debug Kubernetes manifests during the exam.
The CKAD exam is performance-based and entirely command-line driven. Learners must be proficient in navigating the terminal, running commands, and editing files with tools like vi or nano. Command-line efficiency is critical because time management is one of the most significant challenges in the exam. This requirement emphasizes not only knowledge of kubectl commands but also the ability to use them rapidly and accurately.
While deep cloud expertise is not mandatory, learners should have conceptual knowledge of cloud-native principles. This includes ideas such as microservices architecture, scalability, stateless versus stateful workloads, and the importance of automation. These principles form the philosophical foundation of Kubernetes and ensure that learners understand why Kubernetes is designed the way it is.
To practice effectively, learners need access to an environment where they can install and run Kubernetes. This can be a local setup using tools like Minikube or Kind, or it can be a managed cloud environment such as Google Kubernetes Engine or Azure Kubernetes Service. Having a reliable environment is essential for hands-on practice, and learners should be comfortable setting up clusters, configuring them, and troubleshooting issues that arise during setup.
A system with sufficient resources is necessary to run Kubernetes environments locally. Learners should have at least 8 GB of RAM and a modern processor to handle containerized workloads without lag. Additionally, they should install essential tools such as kubectl, Docker or containerd, and text editors that integrate well with YAML. Without meeting these hardware and software requirements, learners may experience frustration or inefficiency in practice.
Beyond technical prerequisites, one of the most important requirements for this course is the commitment to regular practice. The CKAD exam is not about memorizing answers but about applying knowledge under timed conditions. Learners are required to dedicate consistent study hours, revisit concepts through repetition, and build confidence through lab-based practice. Without commitment, even the best-prepared materials cannot translate into exam success.
Kubernetes often presents scenarios where the same task can be solved in multiple ways. Learners must adopt a problem-solving mindset where they evaluate requirements and choose the most efficient solution. This mindset is required not just for the exam but for professional application in real projects. The ability to think critically about trade-offs, efficiency, and scalability is as important as technical skill.
Time management is a subtle but critical requirement of this course. The CKAD exam allows two hours to solve real-time challenges across multiple domains. Learners must practice managing their time by quickly understanding questions, drafting solutions, and verifying their work without spending too long on any single task. Building this skill requires repeated timed practice sessions throughout the training.
While the CKAD exam does not require years of software development background, it is helpful for learners to have some prior experience building or deploying applications. Understanding how applications interact with databases, services, and external dependencies helps in grasping Kubernetes concepts more naturally. This requirement is especially valuable when learners design deployments and troubleshoot application behaviors in the cluster.
A unique aspect of the CKAD exam is that learners have access to the official Kubernetes documentation during the test. This means that while memorization is not strictly required, the ability to navigate documentation efficiently is. Learners are required to practice looking up topics, finding examples, and applying them to solutions under exam conditions. This requirement ensures learners are not lost during the exam and can adapt to unfamiliar scenarios quickly.
Since the CKAD exam simulates real-world challenges, learners must prepare by practicing realistic scenarios rather than isolated commands. This includes simulating failures, designing deployments that scale, and troubleshooting workloads under stress. A requirement of this course is that learners commit to solving practice labs that mirror the complexity of the actual exam, ensuring they are not surprised on exam day.
Although the exam focuses strictly on Kubernetes, learners must understand its surrounding ecosystem. Tools like Helm, kubectl plugins, and observability frameworks play a role in managing Kubernetes environments. Learners should be aware of these tools, even if they are not heavily tested, because they shape the overall understanding of Kubernetes usage in real-world contexts.
Effective learners document their journey by maintaining notes, command references, and YAML templates. This requirement emphasizes the importance of organizing study material, recording errors encountered, and creating quick-reference guides for revision. The act of documenting also reinforces memory retention, which is crucial in a timed exam setting.
Kubernetes learning can be challenging, especially for those new to container orchestration. Errors in YAML, failed deployments, or connectivity issues can cause frustration. One of the non-technical requirements of this course is persistence—the ability to keep practicing despite setbacks. Resilience ensures that learners develop not only technical skills but also the confidence to overcome unexpected challenges during the exam.
Although the exam is individual, Kubernetes is rarely used in isolation in the workplace. Learners are encouraged to collaborate with peers, participate in study groups, or engage in community forums. Collaboration builds deeper understanding and exposes learners to diverse problem-solving approaches. This requirement enhances the richness of the learning process and mirrors the collaborative environment of real-world DevOps teams.
A final requirement of this course is to approach preparation with strategy. Learners must be prepared to review exam objectives, prioritize high-weight topics, and build a schedule that covers all areas while allowing for revision. This requirement ties together technical, conceptual, and personal preparation, ensuring that learners are not only capable but also confident when entering the exam.
The requirements for this course are broad, covering technical prerequisites, conceptual knowledge, hardware and software setup, and personal attributes such as persistence and time management. Meeting these requirements ensures that learners can fully engage with the training and perform effectively in the CKAD exam. This section emphasizes that preparation is not simply about technical knowledge but about building a holistic foundation that combines skills, mindset, and strategy.
The Certified Kubernetes Application Developer training course is more than just an exam preparation guide. It is a carefully designed educational journey that integrates theory, practice, and strategy. The course description provides learners with a clear understanding of what they can expect in terms of content, methodology, and outcomes. By reading this section, learners will gain a sense of how the program unfolds, what types of learning experiences are included, and how the course aligns with different learning goals.
The scope of this course is to prepare learners for every aspect of the CKAD exam while ensuring they develop real-world Kubernetes skills. The course is not limited to exam-specific objectives but extends to best practices, real deployment examples, and lessons that can be applied directly in the workplace. The description clarifies that learners will leave with the confidence to design, deploy, and manage Kubernetes applications in diverse environments.
This course is designed around the principle that learning is most effective when it is active and contextual. Instead of passive memorization, learners are encouraged to interact with Kubernetes clusters, build configurations, and troubleshoot issues. The philosophy ensures that every concept is reinforced through hands-on activity. By adopting this active learning model, the course mirrors the performance-based nature of the CKAD exam, where knowledge must be demonstrated through execution.
The course begins with foundational concepts and gradually builds toward advanced topics. It starts with an introduction to Kubernetes architecture and core objects, followed by deeper dives into configuration, observability, networking, and persistence. Each module increases in complexity, with practice labs woven into the learning process. The progression is intentional, ensuring that learners are never overwhelmed but steadily challenged to stretch their understanding.
One of the central features of this course is the emphasis on practical exercises. Learners are not only shown examples but are guided through solving problems themselves. The exercises mirror real-world use cases, such as configuring an application with environment variables, designing a deployment with zero downtime, or securing workloads with network policies. The description emphasizes that the majority of learning happens through doing, as this is the most reliable way to prepare for the CKAD exam.
The course teaches learners how to use the official Kubernetes documentation effectively. Since the exam allows access to this resource, learners must develop the skill of navigating it quickly. The course description makes it clear that exercises will often include a step where learners consult documentation, reinforcing both their technical skills and their ability to use the official reference material efficiently.
The course is designed to be adaptable to different learning styles. Some learners prefer to read and reflect, while others learn best by direct experimentation. The course accommodates both approaches by offering rich explanatory content alongside guided labs and timed challenges. The adaptability ensures inclusivity, enabling learners from diverse backgrounds to engage meaningfully with the material.
Although the course builds broad Kubernetes expertise, it never loses sight of its exam orientation. Each concept is mapped to a specific domain of the CKAD exam, and learners are frequently reminded of the relevance of each topic to their certification goals. This focus ensures that learners can confidently sit for the exam knowing that their preparation has been aligned with official expectations.
The course is designed to be flexible in duration. Depending on prior experience, learners may complete the training over a few weeks of dedicated study or spread it out over several months. The description emphasizes that success depends more on consistent engagement than on total hours. Learners are encouraged to pace themselves while ensuring that they cover every module and complete all practice labs before attempting the certification.
The course fosters a supportive learning environment through community interaction, peer discussion, and instructor guidance where available. Learners are encouraged to ask questions, share experiences, and reflect on challenges. This community-based support mirrors the collaborative spirit of the Kubernetes ecosystem itself, where open-source contributions and collective problem-solving are highly valued.
This course is designed for developers who want to transition into the cloud-native landscape. Many developers are comfortable building traditional applications but lack exposure to containerized environments. This course equips them with the knowledge and skills to deploy and manage applications within Kubernetes clusters, preparing them for roles in modern DevOps and platform engineering teams.
The CKAD credential is recognized across industries as a benchmark of Kubernetes proficiency. This course is tailored for professionals who want to validate their expertise through certification. For them, the course provides not only technical skills but also strategies for exam performance, giving them the confidence to achieve a passing score on their first attempt.
Many system administrators are experienced in managing infrastructure but have less experience with application deployment in containerized environments. This course bridges that gap by teaching administrators how to design and operate applications on Kubernetes. By the end of the course, they are equipped not only to manage clusters but to handle workloads at the application level.
DevOps engineers often sit at the intersection of development and operations, and Kubernetes mastery is increasingly expected in this role. This course is highly relevant for DevOps professionals who want to strengthen their application deployment skills. The focus on continuous delivery, observability, and scalability aligns closely with the daily responsibilities of DevOps teams.
University students, coding bootcamp graduates, and early-career technologists who want to specialize in cloud-native development will benefit significantly from this course. The material introduces them to both the foundational and advanced aspects of Kubernetes, giving them a competitive edge in the job market. By completing the course and earning the CKAD certification, they can demonstrate readiness for modern engineering roles.
This course is not limited to individual learners. Organizations that want to build Kubernetes capacity across their teams can adopt this training to ensure consistency and quality of knowledge. For enterprises transitioning workloads to Kubernetes, investing in this course prepares teams to handle the complexity of modern application deployments with confidence and expertise.
The technology industry welcomes professionals from diverse backgrounds, and many career changers look to certifications as a pathway into technical roles. This course is suitable for those transitioning from fields such as project management, business analysis, or traditional IT support. It provides them with a structured path to acquire hands-on Kubernetes skills and demonstrate competence through certification.
Not every learner is motivated by career or certification goals. Some are simply passionate about learning new technologies and exploring the mechanics of container orchestration. This course is also for independent learners who enjoy experimenting with open-source tools and want to deepen their technical knowledge for personal growth.
While the course is broadly accessible, it may not be suitable for learners with no prior exposure to basic programming, Linux, or containers. The pace assumes some foundational knowledge, and learners without it may find themselves overwhelmed. However, with supplementary study in those areas, even complete beginners can eventually benefit from the training.
The course has been intentionally designed with its target audiences in mind. By aligning the content with the needs of developers, administrators, DevOps engineers, and students, the course maximizes its relevance. The description makes it clear that this is not a generic technical program but a focused preparation for a certification that carries weight in professional settings.
The course description outlines a training experience that is practical, exam-focused, and adaptable to diverse learners. It emphasizes hands-on learning, structured progression, and community support. The section on who this course is for clarifies the broad but specific audience that will benefit, from aspiring cloud-native developers to seasoned professionals seeking validation of their skills. Together, these elements ensure that learners understand both the value of the course and their place within it.
Student Feedback
Similar CNCF Video Courses
Only Registered Members Can Download VCE Files or View Training Courses
Please fill out your email address below in order to Download VCE files or view Training Courses. Registration is Free and Easy - you simply need to provide an email address.
Log into your ExamCollection Account
Please Log In to download VCE file or view Training Course
Only registered Examcollection.com members can download vce files or view training courses.
SPECIAL OFFER: GET 10% OFF
Pass your Exam with ExamCollection's PREMIUM files!
SPECIAL OFFER: GET 10% OFF
Use Discount Code:
MIN10OFF
A confirmation link was sent to your e-mail.
Please check your mailbox for a message from support@examcollection.com and follow the directions.
Download Free Demo of VCE Exam Simulator
Experience Avanset VCE Exam Simulator for yourself.
Simply submit your e-mail address below to get started with our interactive software demo of your free trial.