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Learning roadmaps

Pick the path that matches where you actually are

Every roadmap below is built on free and open-source resources, because the real knowledge in this field lives on GitHub and YouTube — not behind paywalls. 159 curated links in total.

Beginner → Job-ready6–9 months10–15 hrs/week

Basic MLOps Engineer Roadmap

From zero to job-ready

Students, ML Engineers, Software Engineers, and Data Scientists breaking into MLOps.

Open the roadmap51 free resources
  1. FoundationsMonth 1-2
  2. Software Engineering for MLMonth 3
  3. MLOps CoreMonth 4-5
  4. Cloud BasicsMonth 6
  5. Basic MonitoringMonth 7
DevOps → MLOps3–5 months10–15 hrs/week

The DevOps to MLOps Transition Roadmap

The fastest career pivot in tech

DevOps, SRE, platform and infrastructure engineers moving into ML.

Open the roadmap31 free resources
  1. Fill the Python & ML GapMonth 1
  2. Learn ML-Specific ToolingMonth 2
  3. Where Your DevOps Skills ShineMonth 3
  4. MLOps-Specific Concepts You Won't KnowMonth 4
  5. Optional Specialization: LLMOpsMonth 5+
Mid → SeniorOngoingPick 2–3 specializations

MLOps Roadmap for Seniors

Depth, system thinking, and production scale

Junior and mid-level MLOps engineers levelling up to Senior.

Open the roadmap77 free resources
  1. LLMOps
  2. Model Optimization
  3. Production Kubernetes & Distributed Systems
  4. Advanced Monitoring & Observability
  5. Performance & Load Testing
  6. + 2 more
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