AI Model Deployment — Complete Guide

AI Model Deployment — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of ML.NET Tutorial on Toolliyo Academy.

8 min read Updated 8/19/2026

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ML.NET Tutorial · Lesson 76 of 100

AI Model Deployment

Foundations ✓ → Models ✓ → NLP & advanced → MLOps

NLP & advanced · 3 — Recs, text, ONNX · ~10 min · Module 8: Advanced ML.NET

What is this?

AI model deployment packages a trained zip, config, and runtime so predictions run reliably in target environments.

Why should you care?

AIPredict fraud and forecast models must leave notebooks and land on App Service or containers with rollback.

See it live — copy this example

Use a .NET console or Web API project with Microsoft.ML. Run dotnet run after pasting.

var modelPath = Environment.GetEnvironmentVariable("FRAUD_MODEL_PATH") ?? "models/fraud-v12.zip";
var ml = new MLContext();
ITransformer model = ml.Model.Load(modelPath, out var schema);
ml.Model.Save(model, schema, Path.Combine("deploy", "fraud-v12.zip"));
File.WriteAllText("deploy/manifest.json", $$"""{"version":"v12","sha":"{{ComputeHash(modelPath)}}"}""");