Azure ML Courses and Certifications

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

Microcredential

MLOps | Machine Learning Operations

Comprehensive MLOps training covering Python, Rust, GitHub Copilot, cloud platforms, and LLMs. Gain skills for data science, ML engineering, cloud architecture, and AI product management.

• Coursera
• 26 weeks, 5 hours a week
• On-Demand
• Paid Course
• 4 courses

DP-100 Azure Machine Learning in Python-Basic to Advance

53 ratings at Udemy

Machine learning workflow orchestration to automate model training, deployment, and management processes using python.

• Udemy
• 3-4 hours
• On-Demand
• Paid Course

Databricks

MLOps on Azure Databricks with MLflow

1 review

Explore MLOps on Azure Databricks with MLflow, focusing on Model Registry, Webhooks, and automated pipelines for effective machine learning model lifecycle management and deployment.

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

Azure AI Fundamentals (AI-900) Cert Prep: 2 Principles of Machine Learning on Azure

157 ratings at LinkedIn Learning

Explore the fundamental principles of machine learning on Azure to tackle the second domain of the Microsoft Azure AI Fundamentals (AI-900) certification exam.

• LinkedIn Learning
• 1 hour 6 minutes
• On-Demand
• Free Trial Available

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)

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

Understanding the Machine Learning Process and Embedding Models into Apps

Learn to build ML models with Azure ML and VS Code, operationalize them in apps, and implement MLOps practices. Covers PyTorch Lightning, model prediction, and integration with DevOps and Kubernetes.

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

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

Devoxx

MLflow - Platform for Complete Machine Learning Lifecycle

Discover how MLflow simplifies machine learning development by tracking experiments, registering projects, and streamlining model deployment across various platforms.

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

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

Build Systems of Intelligence with Power BI and Azure Data

Learn how Power BI integrates with Azure services to build and manage enterprise-scale business intelligence, covering data prep, distribution, governance, performance, and security.

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

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

Web Summit

Rise of the Machines

Explore machine learning and predictive analytics with Azure ML in this primer, led by Microsoft's Director of Architecture Josh Holmes.

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