AI Background Services — Complete Guide
AI Background Services — Complete Guide: 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 83 of 100
AI Background Services
Foundations ✓ → Models ✓ → NLP & advanced ✓ → MLOps
MLOps · 4 — APIs & deploy · ~10 min · Module 9: ASP.NET Core AI Integration
What is this?
AI background services run training, batch scoring, and retrain jobs outside the request path.
Why should you care?
AIPredict retrains fraud nightly and bulk-scores transactions without blocking checkout APIs.
See it live — copy this example
Use a .NET console or Web API project with Microsoft.ML. Run dotnet run after pasting.
public class FraudRetrainWorker : BackgroundService
{
protected override async Task ExecuteAsync(CancellationToken stoppingToken)
{
while (!stoppingToken.IsCancellationRequested)
{
var model = pipeline.Fit(await LoadTrainSetAsync());
ml.Model.Save(model, schema, "models/fraud-nightly.zip");
await Task.Delay(TimeSpan.FromHours(24), stoppingToken);
}
}
}
builder.Services.AddHostedService<FraudRetrainWorker>();
What happened?
- HostedService loops on schedule: load data, Fit, Save zip.
- APIs pick up new file via watchForChanges or deploy hook.
Practice next
- build BackgroundService.
- Fit and Save on schedule.
- Register AddHostedService.
- Add cancellation on shutdown.
- Upload zip to blob after Save.
Remember
Train off request thread. Scheduled retrain. Save new zip.
AIPredict nightly retrain
Worker writes fraud-nightly.zip at 2am.
Outcome: API reloads without manual deploy.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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