Microsoft Build Machine Learning Solutions using Azure Databricks (DP-3014)

On this accelerated Microsoft: Build Operate Machine Learning Solutions Azure Databricks course you’ll gain an understanding of using Azure Databricks a cloud-scale platform for data analytics and machine learning and how to use Azure Databricks to implement machine learning solutions at scale.

At the end of this course, you’ll achieve your Microsoft Build Operate Machine Learning Solutions Azure Databricks certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal for Data Scientists and Machine Learning Engineers who want to implement machine learning solutions at scale using Azure Databricks.

• Module 1: Explore Azure Databricks
• Module 2: Use Apache Spark in Azure Databricks
• Module 3: Train a machine learning model in Azure Databricks
• Module 4: Use MLflow in Azure Databricks
• Module 5: Tune hyperparameters in Azure Databricks
• Module 6: Use AutoML in Azure Databricks
• Module 7: Train deep learning models in Azure Databricks
• Module 8: Manage machine learning in production with Azure Databricks

Before attending this accelerated course, you should have:

• Experience of using Python to explore data and train Machine Learning models with common open source frameworks, like Scikit-Learn, PyTorch, and TensorFlow.
• Ideally have completed "Create Machine Learning models" before attending this course.

There is no exam associated with this course.