Virtual Instructor-Led Training
1 Day (8 Hours)Note: Schedules will be restored as soon as Microsoft resolves the lab disruptions.
The DP-3014: Implementing a Machine Learning Solution with Azure Databricks Course provides hands-on training in using Azure Databricks and Apache Spark for machine learning. Participants will learn to prepare data, train models, and tune hyperparameters using tools like MLflow and AutoML. This Azure Databricks for Machine Learning training focuses on building scalable machine learning solutions. Enroll in the DP-3014 course to enhance your machine learning expertise with Azure Databricks.
Course Objectives
Learners should have experience using Python to explore data and train machine learning models with open-source frameworks like Scikit-Learn, PyTorch, or TensorFlow.
This course offers practical, hands-on experience in building, training, and deploying machine learning models on Azure Databricks, preparing you for real-world projects.
This course is designed for intermediate-level learners who have prior experience with Python and machine learning frameworks, making it less suitable for absolute beginners.
The course is highly interactive, featuring extensive hands-on labs where you will work directly with Azure Databricks, build and train models, and deploy machine learning solutions in real-world scenarios.
After completing DP-3014, you can advance your skills further by enrolling in advanced machine learning courses like "DP-203T00: Data Engineering on Microsoft Azure".