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Welcome to the Certified Argo Project Associate course. I’m Barahalikar Siddharth, and I’ll guide you through the Argo ecosystem on Kubernetes — focusing on practical, hands-on skills that matter to employers and real-world cloud-native teams. Why this course matters:
  • Argo CD and other Argo projects are widely used at companies like Adobe, Tesla, and NVIDIA.
  • GitOps is now a core pattern for scalable, auditable deployments.
  • This course emphasizes labs and practice so you can learn by doing and recover from mistakes confidently.
This course is lab-focused. Expect guided exercises, break/fix scenarios, and mock exams designed to mirror real certification tasks.
Course modules at a glance:
ModuleKey TopicsExample/Outcome
Argo CDGitOps principles, installation, app management via UI/CLI, reconciliation & health checks, Helm support, multi-clusterManage Git-backed app syncs and declarative deployments
Argo WorkflowsWorkflow authoring (DAGs, steps), artifacts, CLI/UI usage, data processing patternsSubmit and monitor reproducible workflows
Argo RolloutsBlue/Green, Canary, progressive delivery, AnalysisTemplates, Prometheus integrationImplement safe canary rollouts with automated analysis
Argo EventsEvent-sources, sensors, triggers (webhooks, queues)Trigger workflows from events for automation
Certification ReadinessMock exams, exam tips, common pitfallsPrepare for the Certified Argo Project Associate exam
We begin with Argo CD, covering GitOps fundamentals, the differences between traditional CI/CD and GitOps workflows, deployment models, and the surrounding tooling. You will install Argo CD, configure it, and manage applications from both the web UI and the CLI — including syncing manifests, managing secrets, and understanding reconciliation loops and health checks. 
apiVersion: argoproj.io/v1alpha1
kind: Workflow
metadata:
  generateName: cosmic-cow-recursive-
spec:
  entrypoint: cosmic-cow
  templates:
  - name: cosmic-cow
    steps:
    - - name: wisdom-check
        template: check-wisdom
      - name: enlightened
        template: cosmic-enlightenment
        when: "{{steps.wisdom-check.outputs.result}} == \"enlightened\""
      - name: confused
        template: cosmic-cow
        when: "{{steps.wisdom-check.outputs.result}} == \"confused\""
  - name: check-wisdom
    script:
      image: python:3.8-alpine
      command: [python]
      source: |
        import random
        result = "enlightened" if random.randint(0, 1) == 0 else "confused"
        print(result)
  - name: cosmic-enlightenment
    container:
      image: rancher/cowsay
      command: [sh, -c]
      args: ["cowsay", "✨COSMIC ENLIGHTENMENT ACHIEVED! The bovine oracle"]
A slide titled "ArgoCD Architecture" showing a flow diagram where GitHub, a user (via UI/CLI), and the ArgoCD service (octopus mascot) interact to pull manifests and sync them to a Kubernetes cluster. A small circular video of a presenter appears in the bottom-right corner.
You will also explore advanced Argo CD topics:
  • Reconciliation loops and automated drift correction
  • Health checks and resource status reporting
  • Fully declarative setups and Git sinks/sources
  • Helm chart and Kustomize deployments
  • Multi-cluster application management and access controls
Next, we cover Argo Workflows. This section teaches core concepts and architecture, installing and using the argo CLI, authoring workflows (steps, DAGs), handling artifacts, and patterns for batch or streaming data processing. Labs include submitting workflows and inspecting pod-level logs and outputs. Installation example (replace the version tag with your desired release): 
ARGO_WORKFLOWS_VERSION="vX.Y.Z"
kubectl create namespace argo
kubectl apply -n argo -f "https://github.com/argoproj/argo-workflows/releases/download/$ARGO_WORKFLOWS_VERSION/install.yaml"
argo submit -n argo --watch https://raw.githubusercontent.com/argoproj/argo-workflows/master/examples/hello-world.yaml
Replace ARGO_WORKFLOWS_VERSION with the release tag you want to install (for example, “v3.4.8”). The sample hello-world.yaml run demonstrates a basic workflow submission and live watch.
A presentation slide titled "Argo Workflows for Data Processing" showing feature cards for Orchestration, Dependencies, Scaling, and a fourth item describing what Argo handles. A small circular video thumbnail of a presenter appears in the bottom-right corner.
After Argo Workflows, we move to Argo Rollouts. This module covers rollout concepts, architecture, and the tooling to implement progressive delivery strategies such as blue/green and canary. You’ll learn how to configure traffic routing, integrate metrics providers, and automate promotion or rollback via AnalysisRuns and AnalysisTemplates.
A presentation slide titled "Architecture" showing an Argo Rollouts diagram with a Rollout containing Canary and Stable ReplicaSets, an AnalysisRun linked to Prometheus, and traffic split (20%/80%) from Ingress → Service. There's also a small circular video overlay of an instructor in the lower-right.
Example AnalysisTemplate for measuring a success-rate metric in Prometheus: 
apiVersion: argoproj.io/v1alpha1
kind: AnalysisTemplate
metadata:
  name: api-performance-check
spec:
  args:
  - name: service-name
  - name: namespace
  metrics:
  - name: check-success-rate
    provider:
      prometheus:
        address: http://prometheus.kube-prometheus-stack.svc.cluster.local:9090
        query: |
          sum(rate(http_requests_total{service_name="{{args.service-name}}",namespace="{{args.namespace}}",code!~"5.*"}[2m]))
          /
          sum(rate(http_requests_total{service_name="{{args.service-name}}",namespace="{{args.namespace}}"}[2m]))
    count: 3
    interval: 20s
    failureLimit: 1
    successCondition: result >= 0.99
Argo Events introduces event-driven automation for triggering Workflows and Rollouts. You’ll configure event sources and sensors, connect producers (webhooks, message queues, cloud events), and create end-to-end pipelines that react to external signals.
A browser window showing the "Argo Workflow Trigger" documentation with a left-hand user guide menu and a diagram in the main content area. A small circular video overlay of a presenter appears in the bottom-right corner.
Certification readiness is covered with targeted mock exams, walkthroughs of common tasks, and exam strategy. These practice tests are designed to mimic the question styles you’ll see in the Certified Argo Project Associate exam so you can build confidence and identify areas for review.
A presenter wearing a black "KodeKloud" T-shirt sits at a desk next to a slide titled "Certified Argo Project Associate." The slide lists topics like ArgoCD, Argo Workflows, Argo Rollouts, Argo Events, and Certification Readiness.
Community and continued learning
  • Join KodeKloud forums to discuss labs, share solutions, and ask instructors questions.
  • Take advantage of community labs and contributed examples to extend your learning.
A screenshot of the KodeKloud community/forum page showing category links on the left, category tiles and recent topics in the center and right. A circular video inset of a presenter appears in the bottom‑right corner.
Are you ready to become a Certified Argo Project Associate and advance your cloud-native and DevOps career? Enroll, practice the labs, and use the mock exams to measure progress — we’ll guide you step-by-step. Links and references

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