Build an end-to-end MLOps capstone that proves data, model, serving and monitoring work together, then turn it into a portfolio and job plan.
Thursday afternoon, acme-shop's hiring panel for a mid-level MLOps engineer.
The capstone is the acme-fraud project you have built step by step, turned into one platform with explicit contracts between its parts.
Twenty to thirty hours of work needs a plan, or it becomes two months of polishing one piece.
This lab turns the six contracts into an integration check that tests the running platform itself, builds a one-command clean setup, then breaks the...
A platform you have never broken is a platform you do not understand.
The repository is your portfolio's front door.
Thursday afternoon, acme-shop's hiring panel for a mid-level MLOps engineer.
The capstone is the acme-fraud project you have built step by step, turned into one platform with explicit contracts...
Twenty to thirty hours of work needs a plan, or it becomes two months of polishing one piece.
This lab turns the six contracts into an integration check that tests the running platform itself, builds a one-command...
A platform you have never broken is a platform you do not understand.
The repository is your portfolio's front door.
A resume line about a project has about six seconds to make a recruiter read the next one.
Many MLOps interviews include a design round: "design the ML platform for a fraud model" or "how would you serve and...
MLOps work appears under several job titles, and the best entry point depends on where you are starting from.
Quick reference Common mistakes Building a tool collection instead of a platform is the most common capstone failure.
Roles that use the skills in this module.
AI Engineer
MLOps Engineer
Platform Engineer
Not a software engineer sheet. Every problem comes from real DevOps, SRE, Platform and Cloud interviews, from your first script to a system you build yourself.
Open the Coding SheetNo. A capstone that uses fewer tools but proves every handoff works beats one that installs everything and proves nothing. The required core is versioned data, tracked training, a registry, a served model, a release gate and monitoring. Kubernetes, KServe and LLM serving are strong additions if you have time, not requirements.
The required core can be built locally with Docker and open-source tools, if your laptop has enough memory and disk space. Some optional extensions, especially GPU-backed LLM serving and larger Kubernetes platforms, may need more hardware or cloud resources. GitHub Actions has free usage limits, so check your allowance before running frequent workflows, and if you deploy to a cloud account, set a budget alert and tear everything down after recording your demo.
Say exactly what it is: a production-style platform you built and operated on your own machine, with failures you injected and recovered from. Interviewers respect honest scope. What they test is whether you understand why each piece exists and what breaks without it, and the drills in this module give you real stories to tell.
This module takes about four hours to study and complete its integration lab. Building the complete capstone by connecting the earlier roadmap labs typically takes another 20 to 30 hours, spread over two or three weeks, most of it debugging, writing and recording, which is where most of the learning happens.