LearnFlat · AI, Tech & Engineering · AI & Machine Learning

MLOps (Machine Learning Operations)

Learn the principles and practices for deploying, monitoring, and maintaining machine learning models in production. Bridge the gap between data science and DevOps.

MLOps (Machine Learning Operations)

Designing Model Deployment Solutions with Azure Machine Learning

Managing Data in Azure Machine Learning

Track Model Training with MLflow in Production Jobs

MLflow Model Management in Azure Machine Learning

Responsible AI Dashboards in Azure Machine Learning with Python

MLOps Fundamentals: Automating Machine Learning Workflows

Managing Environments in Azure Machine Learning with Python

Automating Azure Machine Learning Jobs with GitHub Actions

Hyperparameter Tuning in Azure Databricks with Optuna

Interacting with Azure Machine Learning Workspace Developer Tools

Azure Machine Learning Model Monitoring Fundamentals

Data Science and Model Tracking in Fabric

Production Machine Learning with Azure Databricks

Designing Machine Learning Solutions in Azure

Machine Learning Automation with Azure Databricks AutoML

Training Machine Learning Models in Azure Databricks

Getting Started with Azure Machine Learning Workspace and Assets

MLflow in Azure Databricks: Tracking and Managing Models

MLflow in Azure Machine Learning: Run Scripts and Track Models

Version Control for Machine Learning and MLOps Projects

Building and Automating Pipelines in Azure Machine Learning

Running Training Scripts with Azure Machine Learning SDK v2

MLOps Foundations: Automating Workflows with Azure Machine Learning

Designing Machine Learning Solutions with Azure