This course uses a case study driven approach to explore the fundamentals of Spark Programming with Databricks, including Spark architecture, the DataFrame API, Structured Streaming, and query optimization.

This 1-day course aims to deepen the knowledge of key “problem” areas in Apache Spark, how to mitigate those problems, and even explores new features in Spark 3 that further help to push the envelope in terms of application performance.

In this course data analysts and data scientists practice the full data science workflow by exploring data, creating features and building models, performing hyperparameter tuning, and tracking parameters and managing models with MLflow. By the end of this course, you will have built end-to-end machine learning models ready for production. 

This course covers the fundamentals of neural networks with TensorFlow and how to scale your deep learning models with Spark.

In this 1-day course, data scientists and data engineers learn best practices for managing experiments, projects, and models using MLflow. Students build a pipeline to log and deploy machine learning models, as well as explore common production issues faced when deploying machine learning solutions and monitoring these models once they have been deployed into production.

In this course, students learn about Reinforcement Learning (RL) paradigm and get hands-on experience on developing/coding RL algorithms.

This course offers a thorough, hands-on overview of how to scale R applications with Apache Spark 

This 1-day course aims to help participants with or without a programming background develop just enough experience with Python to begin using the Apache Spark programming APIs.

This 1-day course aims to help participants with or without a programming background develop just enough experience with Scala to begin using the Apache Spark programming APIs.

This capstone is a guided project focused on establishing a data pipeline to transform data from source through the bronze, silver, and gold layers for a manufacturing organization

This capstone is a guided project focused on establishing a data pipeline to transform data from source through the bronze, silver, and gold layers for a retail organization

This capstone is a guided project focused on establishing a data pipeline to transform data from source through the bronze, silver, and gold layers for a healthcare organization

This capstone is a guided project focused on establishing a data pipeline to transform data from source through the bronze, silver, and gold layers for a finance organization

*This course is to be replaced by Scalable Machine Learning with Apache Spark  

This 3-day course provides an introduction to the "Spark fundamentals," the "ML fundamentals," and a cursory look at various Machine Learning and Data Science topics with specific emphasis on skills development and the unique needs of a Data Science team through the use of lecture and hands-on labs.