{"course":{"productid":34006,"modality":1,"active":true,"language":"en","title":"Build machine learning solutions using Azure Databricks","productcode":"DP-3014","vendorcode":"MS","vendorname":"Microsoft","fullproductcode":"MS-DP-3014","courseware":{"has_ekit":true,"has_printkit":false,"language":""},"url":"https:\/\/portal.flane.ch\/course\/microsoft-dp-3014","essentials":"<p>This learning path assumes that you have experience of using Python to explore data and train machine learning models with common open source frameworks, like Scikit-Learn, PyTorch, and TensorFlow. Consider completing the Create machine learning models learning path before starting this one.<\/p>","audience":"<p>This course is designed for aspiring data scientists and AI engineers who need to train and manage machine learning models by using Azure Databricks.<\/p>","contents":"<h4>Explore Azure Databricks<\/h4><ul>\n<li>Introduction<\/li><li>Get started with Azure Databricks<\/li><li>Identify Azure Databricks workloads<\/li><li>Understand key concepts<\/li><li>Data governance using Unity Catalog and Microsoft Purview<\/li><li>Exercise - Explore Azure Databricks<\/li><li>Module assessment<\/li><li>Summary<\/li><\/ul>\n<h4>Use Apache Spark in Azure Databricks<\/h4><ul>\n<li>Introduction<\/li><li>Get to know Spark<\/li><li>Create a Spark cluster<\/li><li>Use Spark in notebooks<\/li><li>Use Spark to work with data files<\/li><li>Visualize data<\/li><li>Exercise - Use Spark in Azure Databricks<\/li><li>Module assessment<\/li><li>Summary<\/li><\/ul>\n<h4>Train a machine learning model in Azure Databricks<\/h4><ul>\n<li>Introduction<\/li><li>Understand principles of machine learning<\/li><li>Machine learning in Azure Databricks<\/li><li>Prepare data for machine learning<\/li><li>Train a machine learning model<\/li><li>Evaluate a machine learning model<\/li><li>Exercise - Train a machine learning model in Azure Databricks<\/li><li>Module assessment<\/li><li>Summary<\/li><\/ul>\n<h4>Use MLflow in Azure Databricks<\/h4><ul>\n<li>Introduction<\/li><li>Capabilities of MLflow<\/li><li>Run experiments with MLflow<\/li><li>Register and serve models with MLflow<\/li><li>Exercise - Use MLflow in Azure Databricks<\/li><li>Module assessment<\/li><li>Summary<\/li><\/ul>\n<h4>Tune hyperparameters in Azure Databricks<\/h4><ul>\n<li>Introduction<\/li><li>Optimize hyperparameters with Optuna<\/li><li>Review trials<\/li><li>Scale hyperparameter optimization<\/li><li>Exercise - Optimize hyperparameters for machine learning in Azure Databricks<\/li><li>Module assessment<\/li><li>Summary<\/li><\/ul>\n<h4>Use AutoML in Azure Databricks<\/h4><ul>\n<li>Introduction<\/li><li>What is AutoML?<\/li><li>Use AutoML in the Azure Databricks user interface<\/li><li>Use code to run an AutoML experiment<\/li><li>Exercise - Use AutoML in Azure Databricks<\/li><li>Module assessment<\/li><li>Summary<\/li><\/ul>\n<h4>Train deep learning models in Azure Databricks<\/h4><ul>\n<li>Introduction<\/li><li>Understand deep learning concepts<\/li><li>Train models with PyTorch<\/li><li>Distribute PyTorch training with TorchDistributor<\/li><li>Exercise - Train deep learning models on Azure Databricks<\/li><li>Module assessment<\/li><li>Summary<\/li><\/ul>\n<h4>Manage machine learning in production with Azure Databricks<\/h4><ul>\n<li>Introduction<\/li><li>Automate your data transformations<\/li><li>Explore model development<\/li><li>Explore model deployment strategies<\/li><li>Explore model versioning and lifecycle management<\/li><li>Exercise - Manage a machine learning model<\/li><li>Module assessment<\/li><li>Summary<\/li><\/ul>","summary":"<p>Azure Databricks is a fully managed, cloud-based data analytics platform, which empowers developers to accelerate AI and innovation by simplifying the process of building enterprise-grade data applications. Built as a joint effort by Microsoft and the team that started Apache Spark, Azure Databricks provides data science, engineering, and analytical teams with a single platform for big data processing and machine learning. In this course, you&rsquo;ll learn how to use Azure Databricks to train and deploy machine learning models.<\/p>","essentials_plain":"This learning path assumes that you have experience of using Python to explore data and train machine learning models with common open source frameworks, like Scikit-Learn, PyTorch, and TensorFlow. Consider completing the Create machine learning models learning path before starting this one.","audience_plain":"This course is designed for aspiring data scientists and AI engineers who need to train and manage machine learning models by using Azure Databricks.","contents_plain":"Explore Azure Databricks\n\n\n- Introduction\n- Get started with Azure Databricks\n- Identify Azure Databricks workloads\n- Understand key concepts\n- Data governance using Unity Catalog and Microsoft Purview\n- Exercise - Explore Azure Databricks\n- Module assessment\n- Summary\n\nUse Apache Spark in Azure Databricks\n\n\n- Introduction\n- Get to know Spark\n- Create a Spark cluster\n- Use Spark in notebooks\n- Use Spark to work with data files\n- Visualize data\n- Exercise - Use Spark in Azure Databricks\n- Module assessment\n- Summary\n\nTrain a machine learning model in Azure Databricks\n\n\n- Introduction\n- Understand principles of machine learning\n- Machine learning in Azure Databricks\n- Prepare data for machine learning\n- Train a machine learning model\n- Evaluate a machine learning model\n- Exercise - Train a machine learning model in Azure Databricks\n- Module assessment\n- Summary\n\nUse MLflow in Azure Databricks\n\n\n- Introduction\n- Capabilities of MLflow\n- Run experiments with MLflow\n- Register and serve models with MLflow\n- Exercise - Use MLflow in Azure Databricks\n- Module assessment\n- Summary\n\nTune hyperparameters in Azure Databricks\n\n\n- Introduction\n- Optimize hyperparameters with Optuna\n- Review trials\n- Scale hyperparameter optimization\n- Exercise - Optimize hyperparameters for machine learning in Azure Databricks\n- Module assessment\n- Summary\n\nUse AutoML in Azure Databricks\n\n\n- Introduction\n- What is AutoML?\n- Use AutoML in the Azure Databricks user interface\n- Use code to run an AutoML experiment\n- Exercise - Use AutoML in Azure Databricks\n- Module assessment\n- Summary\n\nTrain deep learning models in Azure Databricks\n\n\n- Introduction\n- Understand deep learning concepts\n- Train models with PyTorch\n- Distribute PyTorch training with TorchDistributor\n- Exercise - Train deep learning models on Azure Databricks\n- Module assessment\n- Summary\n\nManage machine learning in production with Azure Databricks\n\n\n- Introduction\n- Automate your data transformations\n- Explore model development\n- Explore model deployment strategies\n- Explore model versioning and lifecycle management\n- Exercise - Manage a machine learning model\n- Module assessment\n- Summary","summary_plain":"Azure Databricks is a fully managed, cloud-based data analytics platform, which empowers developers to accelerate AI and innovation by simplifying the process of building enterprise-grade data applications. Built as a joint effort by Microsoft and the team that started Apache Spark, Azure Databricks provides data science, engineering, and analytical teams with a single platform for big data processing and machine learning. In this course, you\u2019ll learn how to use Azure Databricks to train and deploy machine learning models.","skill_level":"Intermediate","version":"1.0","duration":{"unit":"d","value":1,"formatted":"1 day"},"pricelist":{"List Price":{"PL":{"country":"PL","currency":"PLN","taxrate":23,"price":1400},"IT":{"country":"IT","currency":"EUR","taxrate":20,"price":490},"DE":{"country":"DE","currency":"EUR","taxrate":19,"price":690},"AT":{"country":"AT","currency":"EUR","taxrate":20,"price":690},"SE":{"country":"SE","currency":"EUR","taxrate":25,"price":690},"NL":{"country":"NL","currency":"EUR","taxrate":21,"price":645},"US":{"country":"US","currency":"USD","taxrate":null,"price":675},"CA":{"country":"CA","currency":"CAD","taxrate":null,"price":675},"GB":{"country":"GB","currency":"GBP","taxrate":20,"price":940},"CH":{"country":"CH","currency":"CHF","taxrate":8.1,"price":870},"SI":{"country":"SI","currency":"EUR","taxrate":20,"price":690},"FR":{"country":"FR","currency":"EUR","taxrate":19.6,"price":950}}},"lastchanged":"2025-12-23T16:01:54+01:00","parenturl":"https:\/\/portal.flane.ch\/swisscom\/en\/json-courses","nexturl_course_schedule":"https:\/\/portal.flane.ch\/swisscom\/en\/json-course-schedule\/34006","source_lang":"en","source":"https:\/\/portal.flane.ch\/swisscom\/en\/json-course\/microsoft-dp-3014"}}