Databricks Training
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Databricks Training
Apache Spark
Delta Lake
Machine Learning
Data Engineering
Lakehouse Architecture
About Databricks Training
The modern data landscape relies on unified analytics platforms. Our Databricks training program empowers you to harness the full potential of the Databricks Lakehouse Platform, blending the best of data warehouses and data lakes to provide a single, scalable solution for massive data engineering and data science workloads.
From mastering Apache Spark and Delta Lake for optimized data processing to implementing scalable machine learning workflows with MLflow, this course equips you with the end-to-end skills needed to build robust, AI-ready data pipelines in the cloud.
Course Curriculum
- Introduction to Databricks & the Lakehouse Architecture
- Apache Spark fundamentals (DataFrames, RDDs, Spark SQL)
- Building reliable pipelines with Delta Lake
- Data Engineering: ETL/ELT processes and orchestration
- Streaming data processing with Structured Streaming
- Advanced performance tuning and query optimization
- Managing machine learning lifecycles with MLflow
- Collaborative workspaces and Databricks SQL
- Security, governance, and Unity Catalog
- Hands-on projects and real-world case studies
Key Benefits
Live instructor-led sessions
Build real-world data pipelines
Databricks Certification guidance
Cloud-native data architecture
Career support & mentorship
Lifetime access to course content
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Full course access · Certification guidance · Lifetime recordings
$2400
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