Feature Engineering at Scale
In this course, you will gain a comprehensive understanding of how to design, scale, and operationalize end-to-end feature engineering pipelines on the Databricks platform. The curriculum is structured across three progressive modules: mastering the fundamentals of Spark’s distributed execution and optimization, implementing scalable data ingestion with Auto Loader and declarative Lakeflow pipelines, and advancing to production-grade MLOps with the Databricks Feature Store.
You will engage in hands-on learning experiences such as debugging Spark performance with the Catalyst Optimizer and Spark UI, building robust Bronze-Silver-Gold medallion architectures with automated quality checks, and implementing scalable feature transformations using SparkML. The course culminates in deploying real-time feature serving through Online Feature Stores, defining FeatureSpecs with on-demand transformations, and applying governance and lineage tracking with Unity Catalog.
The content was developed for participants with these skills/knowledge/abilities:
1. Completed the “Introduction to Apache Spark” course or possess equivalent foundational knowledge of Spark, including basic data transformations and Spark SQL.
* Learners should be comfortable with Spark’s role in distributed data processing. This course will build on that foundation to explain how Spark enables scalable machine learning workflows.
2. Intermediate-level proficiency in Python programming, particularly for data manipulation using libraries such as `pandas`, `numpy`, or `scikit-learn`.
3. Intermediate understanding of traditional machine learning workflows, including model training, evaluation, and hyperparameter tuning.
4. Familiarity with the Databricks platform and workflows.
* Learners are strongly encouraged to complete the Databricks Machine Learning Associate course prior to this course. This course assumes knowledge of ML development using the Databricks environment.
Self-Paced
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
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Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
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Self-paced and weekly instructor-led sessions for every style of learner to optimize course completion and knowledge retention. Go to Subscriptions Catalog tab to purchase
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Skills@Scale
Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details
