Explore and configure the Azure Machine Learning workspace

• Explore the Azure Machine Learning workspace resources and assets
• Explore developer tools for workspace interaction
• Make data available in Azure Machine Learning
• Work with compute targets in Azure Machine Learning
• Work with environments in Azure Machine Learning

Experiment with Azure Machine Learning

• Azure Machine Learning  Designer
• Find the best classification model with Automated Machine Learning
• Track model training in notebooks with MLflow

Optimize Model Training with Azure Machine Learning

• Run a training script as a command job in Azure Machine Learning
• Track model training with MLflow in jobs 
• Perform hyperparameter tuning with Azure Machine Learning               
• Run pipelines in Azure Machine Learning          

Manage and evaluate models with Azure Machine Learning

• Register an MLflow model in Azure Machine Learning
• Create and explore the Responsible AI dashboard       

Deploy and consume models with Azure Machine Learning

• Deploy a model to a managed online endpoint
• Deploy a model to a batch endpoint    

Introduction to Microsoft ML

• Foundational concepts in Microsoft Machine Learning
• Understanding ML algorithms and models
• Introduction to Azure ML services

Advanced ML Techniques

• Advanced machine learning techniques and methodologies
• Model optimization strategies
• Feature engineering and selection

Practical Applications and Case Studies

• Real-world applications of Microsoft ML
• Case studies showcasing ML implementations
• Hands-on projects and exercises