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      About Featured

      Linux Foundation Certified Kubernetes Application Developer

      Prove you can build and run applications on Kubernetes, hands on. Design, deploy, configure, observe and expose them.

      4.9 out of 5 for LUNARTECH, from 100+ reviews10,000+ students

      Partners and press
      Anthropic logo featuring a clean, modern font, symbolizing responsible AI development and innovation supported by LUNARTECH.NVIDIA logo representing industry-leading graphics processing, AI innovation, and cutting-edge computing technologies, integrated by LUNARTECH.Microsoft Azure logo with a sleek, minimalist design, symbolizing powerful cloud computing and AI capabilities integrated by LUNARTECH.White Google logo featuring an abstract swirl design. -| LUNARTECHOpenAI logo with a hexagonal geometric design next to the text 'OpenAI' in a clean sans-serif font. - LUNARTECH
      Anthropic logo featuring a clean, modern font, symbolizing responsible AI development and innovation supported by LUNARTECH.NVIDIA logo representing industry-leading graphics processing, AI innovation, and cutting-edge computing technologies, integrated by LUNARTECH.Microsoft Azure logo with a sleek, minimalist design, symbolizing powerful cloud computing and AI capabilities integrated by LUNARTECH.White Google logo featuring an abstract swirl design. -| LUNARTECHOpenAI logo with a hexagonal geometric design next to the text 'OpenAI' in a clean sans-serif font. - LUNARTECH
      Anthropic logo featuring a clean, modern font, symbolizing responsible AI development and innovation supported by LUNARTECH.NVIDIA logo representing industry-leading graphics processing, AI innovation, and cutting-edge computing technologies, integrated by LUNARTECH.Microsoft Azure logo with a sleek, minimalist design, symbolizing powerful cloud computing and AI capabilities integrated by LUNARTECH.White Google logo featuring an abstract swirl design. -| LUNARTECHOpenAI logo with a hexagonal geometric design next to the text 'OpenAI' in a clean sans-serif font. - LUNARTECH
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      Entrepreneur logo showcasing startup and business innovation by LUNARTECH.Forbes logo representing a global leader in business, finance, and entrepreneurship insights, associated with innovation and industry expertise by LUNARTECH.Bloomberg logo symbolizing financial data and market analytics, integrated by LUNARTECH.Insider logo highlighting business and technology trends by LUNARTECH.
      Overview

      Writing the app is half the work. This exam tests the half that runs it.

      A Professional exam for developers, with no prerequisites listed by the Linux Foundation. In two hours you build container images, pick workloads, configure apps and expose them with Ingress at a command line. Environment, configuration and security weigh most at 25%, in a performance-based exam with one retake and two years of validity.

      10Modules
      120Minutes
      2Years valid
      7Roles
      What it tests

      Learn all the way down.
      Perform when it matters.

      Design and build

      Build container images, pick the right workload resource, and design multi-container pods with the volumes they need.

      Deploy safely

      Run rolling updates, blue/green and canary strategies, and deploy existing packages with Helm and Kustomize.

      Configure and secure

      Use ConfigMaps, Secrets, ServiceAccounts, resource limits, SecurityContexts and admission control.

      Observe and expose

      Add probes, read logs, debug failing pods, and expose apps through services, Ingress and NetworkPolicies.

      Course outline

      Applications built for Kubernetes,
      not just copied onto it.

      10 modules60 lessonsSelf-paced

      We design this course ourselves. Linux Foundation runs the exam and issues the credential, and LUNARTECH is independent of Linux Foundation.

      Every workload starts as an image, and a careless one costs you at build time, pull time and in production. You write Dockerfiles for real services, shrink them with multi-stage builds, and publish them to a registry your cluster can pull from.

      • Writing a Dockerfile for a service
      • Multi-stage builds and small base images
      • Layers, caching and the build context
      • Tagging and pushing to a registry
      • Running as a non-root user
      • Building with Docker or Podman

      You build A small non-root image for a web service, pushed to a registry and running in a pod.

      The same container can run as a pod, a Deployment, a Job or a CronJob, and the choice changes how it restarts and scales. You match the resource to the work, and treat batch and scheduled tasks as carefully as long-running services.

      • Pods and why you rarely run one directly
      • Deployments for stateless services
      • Jobs, completions and parallelism
      • CronJobs, schedules and concurrency policy
      • StatefulSets and DaemonSets: when they apply
      • Restart policies and backoff limits

      You build Manifests that run a service, a one-off migration and a nightly cleanup, each with the right resource.

      Some applications need helpers that live and die with them. You build pods with init containers and sidecars, share data through volumes, and decide when a second container is better than a second pod.

      • Init containers and start-up ordering
      • Sidecar containers for logging and proxying
      • The adapter and ambassador patterns
      • emptyDir and shared scratch space
      • Persistent volumes and claims for application data
      • Projected volumes and ephemeral storage

      You build A pod with an init container and a log-shipping sidecar sharing one volume with the application.

      An image should not change between environments, but its settings must. You inject configuration with ConfigMaps and environment variables, handle credentials with Secrets, and expose pod facts to the application through the downward API.

      • ConfigMaps from literals, files and directories
      • Environment variables and mounted files compared
      • Secrets: types, encoding and the limits of encoding
      • The downward API and pod metadata
      • Updating configuration without rebuilding
      • Immutable ConfigMaps and Secrets

      You build One image running in two namespaces with different configuration and credentials.

      A pod runs with the identity and limits you give it. You assign ServiceAccounts, set SecurityContexts that drop privileges, cap resources with requests, limits and quotas, and see how authentication and admission control gate every request.

      • ServiceAccounts and the tokens pods receive
      • Authentication and authorization at the API
      • Admission control: what mutates and what rejects
      • SecurityContext: users, capabilities, read-only filesystems
      • Requests, limits and what happens past a limit
      • ResourceQuotas and LimitRanges per namespace

      You build A hardened pod spec that runs as a non-root user inside a namespace with enforced quotas.

      Teams increasingly consume platform features as custom resources. You read and write CRDs, create instances of them, and learn what operators do behind the API so that you can use them without surprises.

      • What a CustomResourceDefinition adds to the API
      • Reading a CRD’s schema and versions
      • Creating and editing custom resources
      • The operator pattern and reconciliation
      • Installing and using an existing operator
      • Finding the cause when a custom resource is stuck

      You build A custom resource definition with a schema, and instances of it managed with kubectl.

      Shipping a change safely is part of an application’s design. You tune rolling updates, run blue/green and canary releases with plain Kubernetes objects, and package deployments with Helm and Kustomize.

      • Rolling update settings: surge and unavailable
      • Blue/green releases by switching a service selector
      • Canary releases with replica ratios and labels
      • Rollback and revision history
      • Installing and customizing Helm charts
      • Kustomize overlays for each environment

      You build An application released through a canary, then promoted, with a documented rollback.

      Kubernetes can only restart what it knows is unhealthy. You add liveness, readiness and startup probes, read logs and resource use from the command line, and debug failing pods from outside and from within.

      • Liveness, readiness and startup probes
      • Choosing probe type, timing and thresholds
      • Reading container logs, current and previous
      • kubectl top and basic resource monitoring
      • Debugging with exec, port-forward and ephemeral containers
      • Finding and fixing deprecated API versions

      You build A service with correct probes and a short debugging guide for its three likeliest failures.

      An application is only useful when something can reach it, and only safe when nothing else can. You expose pods through services, route outside traffic with Ingress rules, and restrict flows with NetworkPolicies.

      • Services and label selectors
      • ClusterIP, NodePort and LoadBalancer
      • Ingress rules by host and path
      • Troubleshooting a service with no endpoints
      • NetworkPolicy ingress and egress rules
      • Testing connectivity from a debug pod

      You build A front end and API exposed through Ingress, with policies that allow only the intended traffic.

      Take one application from source code to a running, observable release. You build the image, choose the resources, wire configuration and security, release with a strategy, and expose it, all from the command line.

      • Breaking an application into Kubernetes resources
      • Building, tagging and publishing the image
      • Writing manifests for configuration, security and storage
      • Releasing, probing and exposing it
      • Debugging a deliberately broken release
      • Reviewing the manifests as a teammate would

      You build A full application, from image to Ingress, with health checks, limits and a release procedure.

      Issued by
      Linux Foundation

      Certifying body · Independent of LUNARTECH

      Linux Foundation

      The Linux Foundation is a nonprofit that hosts open source projects, including Linux and Kubernetes. It runs the certification program itself, with online, proctored exams. Every certification in this list is valid for two years. LUNARTECH is independent of the Linux Foundation.

      How you get there

      Top-tier roles go to people who can do the work.
      Here’s how you get there.

      Know where you start.

      The Linux Foundation lists no prerequisites for this exam.

      Work through the course.

      Ten modules, designed by LUNARTECH, at your own pace.

      Sit it with Linux Foundation.

      Linux Foundation runs the exam and issues the credential, so you register and book directly with them.

      Support

      Support at every stage.
      You won’t be working through this alone.

      Before you start

      Try it first.

      A 3-day free trial opens a selection of the content. Your card is only charged once it ends.

      While you learn

      Mentors within reach.

      Stuck on a concept? Reach out to a mentor whenever you need help.

      While you learn

      One-on-one sessions.

      On the yearly plan, one-on-one sessions give you dedicated support.

      Any time

      A team behind you.

      Write to info@lunartech.ai at any point, from your trial onwards. If your employer is funding you, we’ll set it up with them directly.

      All the way through

      A schedule that fits around your life.

      Your own paceFrom anywhereAt any hour

      After the last lesson

      Stay in the network.

      Your alumni network stays with you: ongoing support, opportunities and industry insight.

      Career support

      Career support, past the last lesson. Coaching, a sharper resume, real interview preparation and the people to know.

      Career direction

      Tailored coaching helps you decide where to aim and how to get there.

      Course · 1 hourLaunching Your Data Science Career

      Strong portfolio

      Hands-on projects become work you can show, not just claim.

      Course · 60 hoursBuild Your Data Science Portfolio

      Resume and profile

      Personalized refinement, so what you send says what you can actually do.

      Course · 10 hoursPersonal Branding for Professionals

      Interview preparation

      Preparation for the questions that decide it, so you walk in ready.

      Course · 12 hoursMaster Deep Learning Interviews: 50 Q&A

      Network and search

      Connections with industry leaders, and an alumni network that stays with you.

      Course · 40 hoursData Science Career Playbook
      Reviews

      Real stories from the community.

      4.9out of 5, from 100+ reviews
      LUNARTECH Academy has been the most empowering learning experience of my life, giving me a clear, structured path from the absolute basics to building real-world AI systems with confidence.
      Farnia GhanizadehSerajAI Engineer
      Your page is fantastic. As a bachelor’s student in Data Science now accepted for a master’s at UConn, your work has been a real source of motivation.
      Mahmoud A.Data Scientist
      The programme’s clear, bite-sized content and practical projects dramatically improved my speed from fuzzy idea to MVP and my ability to communicate AI value. I followed the system, and it works.
      Rod MorrissonHead of Data Science & AI
      I really appreciate your teaching style and the way you break down complex topics. It has been incredibly helpful.
      Narine P.Data Analyst
      After years working mainly with R for econometrics, I found your Python machine learning course a refreshing and engaging way to learn Python.
      Raphael J., PhDQuantitative Analyst
      As a Data Science graduate, I want to thank you for the effort you put into making videos to support growing data scientists.
      Stanley M.AI Engineer
      I’ve been following your work since taking your machine learning course, and I’m impressed by your practical approach to applying AI.
      Sai Eshwar G.Data Scientist
      Why choose us

      Built around how you actually learn.

      One standard behind every course, from the first lesson to long after the last.

      Hands-on practice

      Apply every idea to real problems, so it becomes something you have used, not only seen.

      Industry-aligned curriculum

      We keep courses current with the tools, techniques and skills the field asks for.

      Flexible learning

      Study at your own pace, from anywhere, at any hour.

      Certificate of completion

      Finish the course and earn a certificate that shows what you have learned.

      Focus on your success

      Personalized learning plans and support structures carry you through the hard parts.

      Lifetime alumni network

      Stay connected after you finish, with ongoing support, opportunities and industry insight.

      Your certificate

      It doesn’t raise its voice. Neither will you.

      Finish a LUNARTECH course and its certificate is issued in your name, under our signature. Linux Foundation’s credential comes from Linux Foundation, when you pass its exam.

      A sample, for a course in the Academy. Only yours carries your name.
      Pricing

      This course comes with the membership.
      So does everything else.

      One membership opens every course, certification, workshop and masterclass in the Academy. Every plan starts with a 3-day free trial. You register and book the exam directly with Linux Foundation.

      3 days free, then $29.97 a month. Your card is only charged once the trial ends.

      Included in every plan

      • Every course in the Academy
      • Every certification course
      • Workshops and masterclasses
      • A certificate of completion
      • A 3-day free trial
      • Learning at your own pace
      • The lifetime alumni network
      • Upgrades at any time
      In practice

      Seven roles.
      One credential across them all.

      No single job owns it. Here’s where each role leans hardest, and where its work ends up.

      1. 01Design and build
      2. 02Deployment
      3. 03Observability
      4. 04Config, security
      5. 05Networking
      • Your code ships as a pod, not a binary. This exam tests how it gets there.

        Design and build, Deployment, Config, security

        Product engineering teams, SaaS companies

      • Probes and rollouts keep releases boring. That is the goal of the exam.

        Deployment, Observability, Networking

        Platform teams, Cloud-native startups

      • ConfigMaps and Secrets keep settings out of images. Security contexts limit what a pod can do.

        Design and build, Config, security

        Product engineering teams, SaaS companies

      • A rolling update that cannot roll back is a risk. Deployment tasks teach the safe path.

        Deployment, Observability

        Platform teams, Cloud-native startups

      • A frontend and an API need services and Ingress to meet. You wire them up yourself.

        Design and build, Networking

        Cloud-native startups, SaaS companies

      • Probes and logs are the first things you check. Observability tasks make that a habit.

        Observability, Deployment

        Platform teams, SaaS companies

      • A team that ships to Kubernetes shares one set of defaults. Leads set them.

        Design and build, Config, security

        Product engineering teams, Cloud-native startups

      • Product engineering teams
      • Platform teams
      • SaaS companies
      • Cloud-native startups
      Software Engineer

      Your code ships as a pod, not a binary. This exam tests how it gets there.

      Over 10,000 students trust LUNARTECH

      LUNARTECH gives you the skills
      to learn, build, create and lead.

      Engineers

      Understand systems all the way down. Build the ones others rely on.

      Scientists

      Understand what the data says. Build models that hold up.

      Researchers

      Understand the papers. Build on them, and take the work further.

      The field

      Anyone can use AI.
      Few can engineer it. This is where that starts.

      +340%growth in open roles requiring AI skills

      Data source: Stanford AI Index 2026 & 2024 (Lightcast data), Indeed Hiring Lab, Hacker News “Who’s Hiring”. Aug–Nov 2026 (dashed) is an estimate from the trend.
      Roles and pay

      ~35,000 open roles right now

      Open roles: Built In, Greenhouse, LinkedIn.
      Typical salaries: Glassdoor, Levels.fyi, Payscale, Indeed, Ravio, JobRise, U.S. BLS. Military: 2026 U.S. basic pay, drone officers with aviation incentive pay.
      Updated November 2026.

      FAQ

      Frequently asked questions.

      Need help? These answers cover most of what people ask before they start.

      No. Linux Foundation issues it. LUNARTECH is independent of Linux Foundation, and its names and marks belong to it. When you finish a course of ours, you earn a LUNARTECH certificate of completion for that course.

      No. We design this course ourselves, around what the exam covers. Linux Foundation has no part in it, and you still register and book the exam directly with Linux Foundation.

      120 minutes, online, proctored.

      The Linux Foundation lists no prerequisites for this exam.

      2 years.

      We last reviewed it on 5 November 2026, from Linux Foundation’s own pages. Details change, so check the official page before you book.

      Our 3-day free trial gives you access to a selection of content in the bootcamps, courses and materials, so you can experience the value of our content first-hand. This includes comprehensive learning materials and interactive sessions. You won’t be charged during this period, though we require your credit card details at the start to ensure a seamless transition should you choose to continue.

      Yes, entering your credit card details is a necessary step to begin your free trial. The process is entirely secure, and we ask for it to provide a seamless transition to a paid subscription if you decide to continue beyond the trial. You will only be charged after the trial period ends, with full access to our content based on the plan you choose.

      After your 3-day free trial you gain access to the full breadth of our content, depending on the subscription plan you choose. We offer free trials for our monthly, bi-annual and annual plans, and each plan provides a different scope of access and benefits.

      If your employer has agreed to fund your learning, in part or in full, please contact us at info@lunartech.ai. We’ll work with you and your employer to set up everything needed for your subscription.

      Yes. Our support remains strong both during your free trial and after you subscribe. Reach the team at info@lunartech.ai with any question, whether you’re onboarding, navigating your trial, or need help as a member. Subscribers to the yearly plan also receive dedicated support in one-on-one sessions.

      You can upgrade your plan at any time during your subscription. Downgrading is not available for bi-annual or annual plans, but you can cancel and then choose a new plan that suits you better. For bi-annual and annual plans we also offer payment in instalments; please reach out to learn more.

      The course

      Build the skills behind CKAD.

      Prove you can build and run applications on Kubernetes, hands on. Start with a free trial, or enroll in a plan and work through the course at your own pace. Linux Foundation runs the exam and issues the credential.

      10 modulesSelf-pacedIssued by Linux FoundationReviewed 5 November 2026

      LUNARTECH is independent of the vendors and certifying bodies listed here. Their names, exam titles and marks belong to them, exams are run by them, and credentials are issued by them. Reviewed 5 November 2026. Catalogues change often, so confirm the details on the official page before you book.