DevOps Learning Path 2026: From Zero to Certified

A structured 2026 DevOps learning path: Linux → Docker → Kubernetes → CI/CD → Cloud → Certifications. Recommended platforms, timelines, and milestones for career switchers and upskillers.

Who This Is For

Career switchers from sysadmin, support, dev, or non-tech roles
Junior/mid engineers wanting systematic DevOps skill progression
Managers building team upskilling programs
Anyone who wants a clear "what to learn next" roadmap

The 5-Stage DevOps Competency Model

Stage 1: Foundations (Weeks 1–4) Linux CLI, scripting (Bash/Python), Git, networking basics, containers (Docker)

Stage 2: Kubernetes Core (Weeks 5–12) K8s architecture, workloads, networking, storage, security, Helm, operators

Stage 3: CI/CD & Automation (Weeks 13–20) GitHub Actions, GitLab CI, ArgoCD/Flux (GitOps), testing, security scanning

Stage 4: Cloud & Platform Engineering (Weeks 21–32) AWS/Azure/GCP managed K8s (EKS/AKS/GKE), Terraform/Pulumi, Crossplane, Backstage/Port

Stage 5: Specialization & Certification (Ongoing) CKA/CKAD/CKS, cloud specialty certs, SRE practices, platform building

Stage 1: Foundations (4 Weeks)

Goal: Comfortable in Linux terminal, can write scripts, version control with Git, build/run Docker images.

Week	Focus	Resources
1	Linux CLI, filesystem, permissions, processes, systemd	KodeKloud Linux Basics (free), Linux Journey, OverTheWire Bandit
2	Bash/Python scripting, cron, logs, package managers	KodeKloud Scripting, Automate the Boring Stuff (Python)
3	Git: commit, branch, merge, rebase, PR workflow	GitHub Skills, Atlassian Git Tutorial, KodeKloud Git
4	Docker: images, Dockerfile, compose, multi-stage, registries	KodeKloud Docker (free), Docker docs, Play with Docker

Milestone: Deploy a 3-service app (frontend, API, DB) with Docker Compose locally.

Stage 2: Kubernetes Core (8 Weeks)

Goal: Pass CKA exam. Can deploy, troubleshoot, secure, and operate K8s clusters.

Week	Focus	Resources
5–6	Architecture, components, kubectl, namespaces, RBAC	KodeKloud CKA Course (Sec 1–3), KubeAcademy K8s 101
7–8	Workloads: Pods, Deployments, StatefulSets, Jobs, CronJobs	KodeKloud CKA Course (Sec 4–5), KillerCoda workload scenarios
9–10	Networking: Services, Ingress, CNI, NetworkPolicy, DNS	KodeKloud CKA Course (Sec 6), K8s Network Policy Recipes
11–12	Storage: PV, PVC, StorageClass, CSI, snapshots	KodeKloud CKA Course (Sec 7), CSI driver docs
13	Security: Secrets, PSP/PodSecurity, admission, audit	KodeKloud CKA Course (Sec 8), CKS free tier intro
14–15	Troubleshooting: logs, events, exec, debug pods, node issues	KodeKloud Engineer (standard), KodeKloud mock exams
16	Mock Exam #1 → Gap analysis → Targeted review

Milestone: Score 80%+ on KodeKloud CKA Mock Exam #1.

Stage 3: CI/CD & GitOps (8 Weeks)

Goal: Build production-grade pipelines; implement GitOps.

Week	Focus	Platform
17–18	GitHub Actions: syntax, matrix, caching, secrets, reusable workflows	GitHub Actions (free tier)
19–20	GitLab CI: DAG, rules, needs, container registry, SAST/DAST	GitLab (free tier)
21–22	ArgoCD: declarative sync, app-of-apps, progressive delivery	ArgoCD (local/k3d)
23–24	Flux: kustomize/helm controllers, image automation, policy	Flux (local/k3d)
25	Testing in pipeline: unit, integration, contract, chaos	k6, Pact, LitmusChaos
26	Security scanning: Trivy, Syft, Cosign, SBOM, policy-as-code	OPA/Gatekeeper, Kyverno
27–28	Capstone: End-to-end pipeline: code → test → build → sign → deploy (GitOps)

Milestone: Public GitHub repo with full pipeline deploying to a k3d cluster via ArgoCD.

Stage 4: Cloud & Platform Engineering (12 Weeks)

Goal: Operate managed K8s at cloud scale; build internal developer platforms.

Week	Focus	Platform
29–30	EKS: managed node groups, Fargate, IRSA, ALB controller, Karpenter	AWS (free tier)
31–32	AKS: system pools, Azure CNI, workload identity, policy	Azure (free tier)
33–34	GKE: Autopilot, Workload Identity, Config Sync, Fleet	GCP (free tier)
35–36	Terraform: modules, state, workspaces, testing, CI/CD	Terraform Cloud (free)
37–38	Pulumi: TypeScript/Python, automation API, ESC	Pulumi (free tier)
39–40	Crossplane: XRDs, compositions, provider configs, claim policies	Crossplane (k3d)
41–42	Backstage: catalog, scaffolder, tech docs, plugins	Backstage (local)
43–44	Port: blueprints, scorecards, self-service actions	Port (free tier)

Milestone: Deploy a sample IDP (Backstage or Port) with software catalog, self-service template, and scorecard.

Stage 5: Certification & Specialization

CKA Path (after Stage 2): KodeKloud Mock Exams #2, #3 → Schedule exam CKAD Path: KodeKloud CKAD Course + Mock Exams (focus: app deployment, config, observability) CKS Path: KodeKloud CKS Course + Mock Exams (requires CKA first) Cloud Specialty: AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, GCP Cloud DevOps Engineer Platform Engineering: CNCF Platform Engineering Maturity Model self-assessment

Recommended sequence: CKA → (CKAD or CKS) → Cloud Specialty → Platform Engineering portfolio

Platform Recommendations by Stage

Stage	Primary Platform	Supplemental
1 Foundations	KodeKloud (Free/Standard)	Linux Journey, Docker Docs
2 K8s Core	KodeKloud Pro	KubeAcademy, KillerCoda
3 CI/CD	GitHub Actions / GitLab (free)	ArgoCD/Flux docs, Dagger
4 Cloud/Platform	Cloud free tiers + KodeKloud Pro/Business	Crossplane, Backstage, Port docs
5 Certs	KodeKloud Pro (mocks)	Linux Foundation practice exams

Team note: Stages 3–4 benefit significantly from KodeKloud Business — custom paths align to your stack, SSO/SCIM for access, dashboard for manager visibility.

Timeline Summary

Full-time (40 hrs/wk): ~10 months to hireable Platform Engineer
Part-time (15 hrs/wk): ~22 months
Certification-only (CKA): 3–4 months part-time

Adjust for your background: Sysadmins skip Stage 1. Developers accelerate Stage 3. Cloud cert holders compress Stage 4.

Common Pitfalls

Tutorial hell — Watching without doing. Fix: 80% hands-on, 20% video.
Skipping foundations — Weak Linux/Git/Docker haunts you in K8s. Fix: Stage 1 is non-negotiable.
Certification obsession — Certs validate, they don't teach. Fix: Learn → Build → Certify.
Tool fatigue — You don't need ArgoCD + Flux + Tekton + Jenkins. Pick one per category.
Solo grinding — Join communities (KodeKloud Discord, CNCF Slack, r/devops). Accountability + exposure to real problems.

Top Picks

KodeKloud

Hands-on DevOps training with Kubernetes playgrounds, CKA/CKAD/CKS prep, and real-world labs.

Core platform for Stages 1–2 & 5 (CKA/CKAD/CKS)

Free tier available, Standard 23/mo, Pro 21/mo (billed yearly), AI 29/mo (billed yearly), Business 28/user/mo (min 2 seats) Visit Site

GitHub Actions

GitHub-native CI/CD that automates builds, tests, and deployments directly from your GitHub repositories.

Stage 3 CI/CD (free, powerful, market-leading)

Free for public repos, 2,000 min/mo (Free), 3,000 min/mo (Team $4/user/mo), 50,000 min/mo (Enterprise $21/user/mo) Visit Site

Terraform

HashiCorps Infrastructure as Code tool for provisioning cloud resources across multiple providers with declarative HCL syntax.

Stage 4 IaC (industry standard)

Free CLI (BSL 1.1), HCP Terraform Free (500 resources), Team $20/user/mo, Enterprise custom. OpenTofu fork is MPL 2.0. Visit Site

Backstage

Spotifys open-source developer portal platform for building developer portals with a plugin architecture.

Stage 4 IDP (CNCF graduated, largest ecosystem)

Free (CNCF open-source), Managed SaaS from ~$2/dev/mo (Roadie), Enterprise custom Visit Site

Crossplane

Open-source Kubernetes-native control plane for orchestrating infrastructure across clouds and services.

Stage 4 K8s-native control plane (platform teams)

Free (Apache 2.0), Upbound Cloud Team $500/mo, Enterprise custom Visit Site

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