Azure ML Courses and Certifications

Pragmatic AI Labs

MLOps Platforms: Amazon SageMaker and Azure ML

Elevate Your MLOps Game: Master AWS SageMaker and Azure ML for Production-Ready AI Solutions.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Data Science Dojo

Building Real-Time Sentiment Pipeline for Live Tweets

Learn to build a real-time predictive analytics pipeline for Twitter sentiment analysis using Azure ML, R, and Python. Covers model creation, cloud deployment, and live dashboarding with PowerBI.

• YouTube
• 2 hours 5 minutes
• On-Demand
• Free Video

Coursera

Machine Learning Pipelines with Azure ML Studio

826 ratings at Coursera

Build end-to-end machine learning pipeline in Azure ML Studio using Adult Income Census data to predict income levels. Train, evaluate, and deploy a Two-Class Boosted Decision Tree classifier as a web service.

• Coursera
• 1 hour 48 minutes
• On-Demand
• Paid Course

Machine Learning No-Code Approach: Using Azure ML Studio

583 ratings at Udemy

A hands-on approach to Machine Learning using the easy drag-n-drop environment of Azure Machine Learning Studio

• Udemy
• 2 hours 41 minutes
• On-Demand
• Paid Course

MLOps Platforms: Amazon SageMaker and Azure ML

56 ratings at Coursera

Learn to build, train, and deploy ML solutions using Amazon SageMaker and Azure ML. Gain hands-on experience with data engineering, modeling, and MLOps on leading cloud platforms.

• Coursera
• 1 day 7 hours 9 minutes
• On-Demand
• Paid Course

Data Science Dojo

Building and Deploying a Model Using AutoML in Azure ML - Azure Tutorial for Beginners

Learn to streamline machine learning model development with Azure AutoML. Explore algorithm selection, hyperparameter tuning, and evaluation metrics for efficient model creation and deployment.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Visual Studio Code

VS Code, Azure ML, and GitHub Codespaces

Configure VS Code for Azure ML projects on GitHub Codespaces, a cloud-based development environment. Learn setup, extension management, and terminal customization for efficient cloud-based machine learning workflows.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Databricks

Productionizing Machine Learning Pipelines with Databricks and Azure ML

Jumpstart ML projects with Databricks and Azure ML. Learn to build, track, and deploy production-ready pipelines using tools like MLflow, TensorFlow, and PyTorch for efficient, reproducible data science workflows.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Accelerating AI and ML Insights with Azure ML and Teradata VantageCloud

Discover how Teradata VantageCloud and Azure ML integration accelerates AI and ML insights at scale, overcoming deployment challenges and unlocking data-driven value for organizations.

• YouTube
• 29 minutes
• On-Demand
• Free Video

PASS Data Community Summit

Hidden Differences Between Azure ML Products Revealed

Explore Azure ML products, their differences, and use cases. Learn to create end-to-end ML workflows, integrate with SQL Server, and manage models in production using various Azure tools.

• YouTube
• 55 minutes
• On-Demand
• Conference Talk

statistics.com

MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning

6 ratings at edX

Learn to deploy AI & ML models in production using Azure Machine Learning. Gain hands-on experience with data pipelines, versioning, model storage, and monitoring. Master essential skills for successful MLOps implementation.

• edX
• 4 weeks, 5-7 hours a week
• On-Demand
• Free Online Course (Audit)

Coursera

Analyze Data in Azure ML Studio

Explore data analysis techniques in Azure ML Studio, including descriptive statistics, correlation analysis, and data visualization using a diabetes dataset and Jupyter notebooks.

• Coursera
• 1 hour 25 minutes
• On-Demand
• Paid Course

Whizlabs

Azure ML: Designing and Preparing Machine Learning Solutions

Master Azure ML fundamentals, data workflows, and MLOps architectures to design scalable machine learning solutions with hands-on Azure Data Factory and Synapse Analytics expertise.

• Coursera
• 9 hours 30 minutes
• On-Demand
• Paid Course

Coursera

Compare Models with Experiments in Azure ML Studio

Learn to log plots, metrics, and compare machine learning models in Azure ML Studio. Visualize results to choose the best model for your data using Jupyter notebooks and the Azure portal.

• Coursera
• 1 hour 26 minutes
• On-Demand
• Paid Course

Packt Microcredential

Azure ML Bootcamp: Machine Learning on the Cloud

Master Azure Machine Learning from foundations to advanced MLOps deployment, building and operationalizing models with hands-on cloud experience and real-world applications.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses