Azure Databricks Course

COURSE CONTENT:

In this Azure Databricks course, you’ll learn how to draw insights from data and build artificial intelligence (AI) solutions with Azure Databricks, set up an Apache Spark environment, apply autoscaling, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.

The training is carried out through our Virtual Campus. With this option, you will have access to all the educational content on the course platform and it will be accessible, from the start of the course, 24 hours a day, 7 days a week. Students will also have access to participation forums, as well as continuous tutoring.

Course Index:

• Big Data on Azure Databricks

• Databricks Apache Spark Clusters

• Business scenarios for Spark

• Understand Key Components of Spark

• Core Azure Databricks Workloads

• Databricks cluster setup

• Use an R Notebook and with scikit-learn

• Use a Scala Notebook for visualization

• Use a Spark Streaming notebook

• Use an external Scala library variant-spark

• Scaling Azure Databrick Workloads

• Data Pipelines with Azure Databricks

• Machine Learning Architectures