Introduction
Tips for the Azure DP-100 exam
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DP-100 overview
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What you should know
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1. Creating Machine Learning Models
Create machine learning models: Domain overview
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Data exploration and analysis using Python
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What are machine learning models?
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Understanding the types of machine learning models
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Machine learning model training and evaluation
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2. Using Visual Tools to Create Machine Learning Models with Azure Machine Learning
ML model creation with visual tools: Domain overview
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Understanding automated machine learning
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Understanding Azure Machine Learning designer
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Train and evaluate models with Azure Machine Learning designer
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3. Building and Operating Machine Learning Solutions with Azure Machine Learning
ML solutions with Azure Machine Learning: Domain overview
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Introduction to the Azure Machine Learning SDK
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Working with data in Azure Machine Learning
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Training a machine learning model
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Machine learning at scale
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Understanding hyperparameters
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Understanding privacy and ethics in Azure Machine Learning
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Understanding model predictions
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Monitoring and security in Azure Machine Learning
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4. Building and Operating Machine Learning Solutions with Azure Databricks
ML solutions with Azure Databricks: Domain overview
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Introduction to Azure Databricks
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Preparing and working with data
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Training, managing, and deploying models in Azure Databricks
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Tracking experiments in Azure Databricks
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Tuning hyperparameters in Azure Databricks
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Distributed deep learning
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Conclusion
Additional resources for DP-100 preparation
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Tips for exam day
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