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Live Instructor Led Training
Apache Spark™ Programming with Databricks – Instructor Led Training
This course uses a case study driven approach to explore the fundamentals of Spark Programming with Databricks, including Spark architecture, the DataFrame API, query optimization, Structured Streaming, and Delta.
Data Engineering with Databricks – Instructor Led Training
Just Enough Python for Apache Spark™ – Instructor Led Training
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.
Machine Learning in Production – Instructor Led Training
Optimizing Apache Spark™ on Databricks – Instructor Led Training
This 2-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.
Note: This class is available as a one-day version in Private Only Training.
Scalable Deep Learning with TensorFlow and Apache Spark™ – Instructor Led Training
This course covers the fundamentals of neural networks with TensorFlow and how to scale training, inference, and hyperparameter tuning of deep learning models with Apache Spark.
Scalable Machine Learning with Apache Spark™ – Instructor Led Training
In this course, you will experience the full data science workflow, including data exploration, feature engineering, model building, and hyperparameter tuning. By the end of this course, you will have built an end-to-end distributed machine learning pipeline ready for production.
