Docker for ML.NET — AIPredict Project
Docker for ML.NET — AIPredict Project: free step-by-step lesson with examples, common mistakes, and interview tips — part of ML.NET Tutorial on Toolliyo Academy.
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ML.NET Tutorial · Lesson 92 of 100
Docker for ML.NET
Foundations ✓ → Models ✓ → NLP & advanced ✓ → MLOps
MLOps · 4 — APIs & deploy · ~10 min · Module 10: MLOps & Cloud AI
What is this?
Docker for ML.NET packages the ASP.NET inference app and model zip in a reproducible container image.
Why should you care?
AIPredict fraud API deploys the same image from laptop to Azure with the model baked or mounted.
See it live — copy this example
Use a .NET console or Web API project with Microsoft.ML. Run dotnet run after pasting.
# Dockerfile — AIPredict.FraudApi
FROM mcr.microsoft.com/dotnet/sdk:8.0 AS build
WORKDIR /src
COPY . .
RUN dotnet publish AIPredict.FraudApi/AIPredict.FraudApi.csproj -c Release -o /app
FROM mcr.microsoft.com/dotnet/aspnet:8.0
WORKDIR /app
COPY --from=build /app .
COPY models/fraud-v12.zip /models/fraud-v12.zip
ENV FRAUD_MODEL_PATH=/models/fraud-v12.zip
ENTRYPOINT ["dotnet", "AIPredict.FraudApi.dll"]What happened?
- Multi-stage build: SDK publishes, runtime image stays small.
- Model via COPY or volume mount at runtime.
Practice next
- Multi-stage Dockerfile.
- COPY model zip.
- ENV FRAUD_MODEL_PATH.
- Mount model volume instead of COPY.
- Add HEALTHCHECK on /health.
Remember
Multi-stage build. Runtime + model. Env model path.
AIPredict fraud container
Same image runs locally and in Azure.
Outcome: Deploys are immutable and repeatable.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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