DP-3014: Build machine learning solutions using Azure Databricks

About this course

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’ll learn how to use Azure Databricks to train and deploy machine learning models. Audience Profile This course is designed for aspiring data scientists and AI engineers who need to train and manage machine learning models by using Azure Databricks.

Instructor-led training for professionals and companies in Chile. Request dates, schedules, seats and commercial terms. Training hours and daily scheduling follow Netsolutions planning and are confirmed in the commercial proposal.

Course syllabus

1. Build machine learning solutions using Azure Databricks
2. Explore Azure Databricks
3. Use Apache Spark in Azure Databricks
4. Train a machine learning model in Azure Databricks
5. Use MLflow in Azure Databricks
6. Tune hyperparameters in Azure Databricks
7. Use AutoML in Azure Databricks
8. Train deep learning models in Azure Databricks
9. Manage machine learning in production with Azure Databricks