Current

Advanced

Microsoft AI & ML Engineering Professional Certificate

Coursera · Microsoft · Updated March 2026

Platform rating

4.4/5

Champ rating

8.2/10

Duration

3-6 months

Classes

150

Professional certificate covering AI and ML engineering with Microsoft Azure, including model deployment, MLOps, and responsible AI.

What you'll get

Use Azure AI services and machine learning tools

Build and deploy ML models on Microsoft cloud

Implement responsible AI practices

Course Curriculum

12 chapters

Fit

Best for

Software Engineers

DevOps/MLOps Engineers

Data Engineers

Platform Engineers

Not ideal for

Complete beginners

Non-technical learners

Prerequisites & pricing

Prerequisites

Basic programming knowledge

Pricing

Subscription

Certification

Certificate

Azure

Microsoft

MLOps

Model Deployment

Responsible AI

ShareCompare

Add to StackGo to Course

Alternatives to Microsoft AI & ML Engineering Professional Certificate

Compare

Current

Manage AI-Ready Infrastructure on Azure

Microsoft Learn (AI & Azure AI) · Microsoft

4.7

8.7/10

5 hours 58 minutes

Learn to manage GPU clusters, AI workload scheduling, and infrastructure for training and deploying AI models at scale on Azure.

Free

ViewAddCompare

The course "Introduction to AWS Cloud" is designed for individuals with no prior experience, as well as for those who have only recently started working ...

Hands-on labs and real-world scenarios will help learners gain practical experience with AWS cloud solutions, DevOps automation, and cloud security.

In this class you will learn how to run docker application on AWS cloud with the help of AWS ECS Fargate and AWS ECS (Elastic Container Services) with EC2 ...