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Introduction

This document gives a brief overview on most of Microsoft's AI and ML service offerings. The provided resources should help you with your first steps in each area and can be used as an initial learning path. Please note that this document does not make any claims of being complete, or up-to-date in terms of the available AI/ML-related services on Azure.

Cognitive Services

What is it?

• Pre-built Machine Learning Models, published as an API. Infuse your apps, websites and bots with intelligent algorithms to see, hear, speak, understand and interpret your user needs through natural methods of communication. Cognitive Services provide the following capabilities:

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import logging
import azure.functions as func

def main(inputBlob: func.InputStream, outputBlob: func.Out[str]):

    logging.info(f"Blob trigger executed!")
    logging.info(f"Blob Name: {inputBlob.name} ({inputBlob.length}) bytes")
    logging.info(f"Full Blob URI: {inputBlob.uri}")

    output = "Hello World!"

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import requests
import json
import pandas as pd
import matplotlib.pyplot as plt

subscription_key = "xxxxxxx"
endpoint = "https://westeurope.api.cognitive.microsoft.com"
batch_detection_url = "/anomalydetector/v1.0/timeseries/entire/detect"
latest_point_detection_url = "/anomalydetector/v1.0/timeseries/last/detect"

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System;
using System.Collections.Generic;
using System.Linq;
using System.Threading.Tasks;
using Microsoft.AspNetCore.Mvc;
using Microsoft.Azure.Management.Fluent;
using Microsoft.Azure.Management.ResourceManager.Fluent;
using Microsoft.Azure.Management.ResourceManager.Fluent.Authentication;
using Microsoft.Azure.Services.AppAuthentication;
using Microsoft.Rest;

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import logging
import json

import azure.functions as func

def main(req: func.HttpRequest) -> func.HttpResponse:
    products = [
        {
            "name": "Azure DevOps",
            "price": 4.99

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{
    "version": "2.0",
    "extensionBundle": {
        "id": "Microsoft.Azure.Functions.ExtensionBundle",
        "version": "[1.*, 2.0.0)"
    }
}

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curl https://packages.microsoft.com/keys/microsoft.asc | gpg --dearmor > microsoft.gpg
sudo mv microsoft.gpg /etc/apt/trusted.gpg.d/microsoft.gpg

sudo sh -c 'echo "deb [arch=amd64] https://packages.microsoft.com/repos/microsoft-ubuntu-$(lsb_release -cs)-prod $(lsb_release -cs) main" > /etc/apt/sources.list.d/dotnetdev.list'
sudo apt-get update

sudo apt-get install azure-functions-core-tools

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cd python-functions
func azure functionapp publish functions-python-test --python --build-native-deps

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import os
import sys
import argparse
import joblib
import pandas as pd

from azureml.core import Run
from azureml.core.run import Run

from sklearn.compose import ColumnTransformer

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import json
import os
import numpy as np
import pandas as pd
import joblib

# Your imports go here
  
# Update to your model's filename
model_filename = "model.pkl"