Learning paths for every Ops discipline
Expert-curated, stage-by-stage roadmaps for DevOps, DevSecOps, SRE, Platform Engineering, MLOps, LLMOps and more — with the tools, hands-on projects and certifications that matter in 2026.
- Learning paths
- 12
- Topics
- 302
- Tools covered
- 251
- Hands-on projects
- 72
- Certifications mapped
- 77
Not sure where to start?
Pick what describes you best — we’ll highlight the paths to begin with.
You already ship code. Start with DevOps to own the path from commit to production, then specialise in GitOps or move into Platform Engineering to build the golden paths other developers use.
Your Linux, networking and on-call experience is a head start. CloudOps turns it into cloud skills, DevOps adds automation and CI/CD, and SRE makes reliability an engineering discipline.
Shift security left: DevSecOps teaches you to embed controls in pipelines, supply chains and Kubernetes. Platform Engineering shows how to make the secure path the easy path for every team.
NetDevOps brings automation, source of truth and CI/CD to the network. Pair it with CloudOps for cloud networking and DevOps for the wider toolchain.
DataOps applies DevOps discipline to pipelines: testing, CI/CD, observability and contracts. From there, MLOps is a natural next step, and FinOps helps you control data-platform spend.
Get models out of notebooks and into reliable production with MLOps, then extend to LLM and agent applications with LLMOps. DataOps keeps the data feeding them trustworthy.
LLMOps covers RAG, evaluation, guardrails, inference serving and agent observability. MLOps fills in the classic ML lifecycle, and AIOps shows how AI is transforming operations itself.
AIOps teaches correlation, anomaly detection and automated remediation on top of observability data. SRE adds SLOs and incident practice; CloudOps covers the platforms you monitor.
FinOps connects engineering decisions to cloud cost and business value. Platform Engineering and DevOps explain how high-performing technology organisations are structured and measured.
Start with DevOps: it builds the foundations every other Ops path relies on (Linux, Git, CI/CD, containers, cloud). Then choose a specialisation based on what you enjoyed most.
DevOps
Go from Linux and Git to shipping secure, observable software on Kubernetes and the cloud, on demand.
- Git
- GitHub Actions
- Docker
- Kubernetes
- Terraform
DevSecOps
Build security into every commit, pipeline, cluster and cloud account without slowing delivery down.
- Semgrep
- Trivy
- Sigstore
- Kyverno
- Falco
MLOps
Take predictive ML models from notebook to reliable, monitored, governed production on Kubernetes and cloud.
- MLflow
- Kubeflow
- KServe
- Ray
- Feast
AIOps
Turn telemetry into action: cut alert noise, predict incidents, find root cause and automate fixes with AI.
- OpenTelemetry
- PagerDuty
- Dynatrace
- Datadog
- ServiceNow
Platform Engineering
Build internal developer platforms as products: golden paths, self-service APIs and guardrails at scale.
- Backstage
- Kubernetes
- Crossplane
- Argo CD
- Terraform
SRE
Run production like a software problem: SLOs, observability, incident response and automation at scale.
- Prometheus
- Grafana
- OpenTelemetry
- Kubernetes
- PagerDuty
FinOps
Get more value from every cloud, AI and SaaS dollar with shared data, engineering action and accountability.
- AWS
- Microsoft Azure
- Google Cloud
- OpenCost
- Kubecost
CloudOps
Run secure, reliable and cost-aware workloads on AWS, Azure and Google Cloud with automation-first operations.
- AWS
- Microsoft Azure
- Google Cloud
- Terraform
- AWS Systems Manager
DataOps
Ship trusted, tested and observable data products with software-engineering discipline and automation.
- dbt
- Apache Airflow
- Dagster
- Databricks
- Snowflake
GitOps
Run apps, clusters and cloud infrastructure from Git with Argo CD, Flux and continuous reconciliation.
- Argo CD
- Flux
- Kustomize
- Helm
- Argo Rollouts
NetDevOps
Automate, test and operate networks as code, from Python and APIs to CI/CD, telemetry and AI agents.
- Python
- Ansible
- NetBox
- Nautobot
- Batfish
LLMOps
Build, evaluate, serve, observe and secure LLM, RAG and agent applications in production at a sane cost.
- vLLM
- LangGraph
- LlamaIndex
- Langfuse
- promptfoo
No learning paths match your search. Try a tool name like “Kubernetes” or a discipline like “security”.
How the learning paths work
Each path is a sequenced roadmap — not a link dump. Follow it stage by stage and you build skills, a portfolio and certification readiness at the same time.
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Pick your path
Twelve Ops disciplines, each with clear prerequisites, outcomes and the roles it leads to.
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Climb stage by stage
From foundations to expert topics, with effort estimates, key concepts, tools and the best free resources.
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Build real projects
Portfolio projects at every level prove your skills to employers — not just certificates.
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Get certified & hired
We map each path to the certifications that matter in 2026 and the job roles it prepares you for.
Learn faster with a mentor
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