DP-090T00 Implementing a Machine Learning Solution with Microsoft Azure Databricks Training Certification

1. DP-090T00: Implementing a Machine Learning Solution with Microsoft Azure Databricks Training Certification info@multisoftvirtualacademy.comwww.multisoftvirtualacademy.com (+91) 8130-666-206

2. About Multisoft Take your skills to next level with Multisoft Virtual Academy, one of the leading certification training providers in the market. Collaborating with top technology companies, we offer world-class one-on-one and corporate trainings to empower professionals and businesses around the world. Delivering high-quality trainings through Multisoft’s global subject matter experts, we offer more than 1500 courses in various domains. Multisoft offers tailored corporate training; project Based Training, comprehensive learning solution with lifetime e-learning access, after training support and globally recognized training certificates. About Course Delve deep into the world of Azure-based Machine Learning with Multisoft Virtual Academy's DP-090T00 online training course. This immersive program illuminates the nuances of harnessing the combined potential of Microsoft Azure and Databricks to design, train, and deploy Machine Learning solutions. Participants embark on a journey from the foundational understanding of Azure Databricks' architecture to the intricate methods of model training and deployment. info@multisoftvirtualacademy.comwww.multisoftvirtualacademy.com (+91) 8130-666-206

3. Module 1: Introduction to Azure Databricks What is Azure Databricks? Setting up an Azure Databricks Workspace Understanding Databricks Clusters and Jobs Databricks Notebooks: Features and Usage Spark integration with Azure Databricks Module 2: Training and Evaluating Machine Learning Models Overview of ML frameworks supported in Azure Databricks Data preprocessing and feature engineering in Databricks Model training using Databricks' built-in libraries Model evaluation techniques and metrics Best practices for scalable model training Module 3: Managing Experiments and Models Introduction to MLflow for experiment tracking Logging experiments and model parameters Versioning and comparing machine learning models Monitoring model performance over time Model deployment and serving options Module 4: Integrating Azure Databricks and Azure Machine Learning Setting up Azure ML Workspace and Databricks integration Training models on Databricks and deploying on Azure ML info@multisoftvirtualacademy.comwww.multisoftvirtualacademy.com (+91) 8130-666-206

4. Leveraging Azure ML features in Databricks notebooks Implementing end-to-end ML pipelines across both platforms Monitoring and managing deployed models with Azure ML tools info@multisoftvirtualacademy.comwww.multisoftvirtualacademy.com (+91) 8130-666-206