Databricks

Master Delta Lake, PySpark distributed computing, Delta Live Tables, Unity Catalog, and MLflow.

DatabricksApache Spark & PySparkDelta LakeDelta Live TablesUnity Catalog

View Curriculum ↓Enroll Now ↗📊 Intermediate to Advanced

Program Highlights

Key Benefits

Expert-led live sessions

Learn directly from experienced data scientists and AI engineers through interactive, live sessions.

Hands-on project labs

Apply your knowledge to real-world problems using industry-standard ML tools and frameworks.

Industry certification

Earn a recognized certification upon completion to showcase your AI & Machine Learning expertise.

Small batch sizes

Enjoy personalized attention and mentorship with our strictly limited batch sizes.

Career placement support

Get job-ready with resume building, interview prep, and dedicated placement assistance.

Lifetime access to recordings

Never lose your materials. Get lifetime access to all session recordings and course updates.

Course Curriculum

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Unit 1: Databricks Lakehouse & Apache Spark Fundamentals20 Hours

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Unit 2: PySpark Distributed Data Engineering20 Hours

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✓PySpark DataFrame API: Transformations, Actions, filtering, joins, and aggregations

✓Advanced Spark SQL, Window functions, User-Defined Functions (UDFs), and Vectorized Pandas UDFs

✓Handling data skew, repartitioning, coalescing, caching, and broadcast joins

✓Hands-on Lab: Processing and aggregating 50 GB clickstream logs with distributed PySpark

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Unit 3: Delta Lake & Medallion Architecture20 Hours

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✓Delta Lake internals: Transaction log (`_delta_log`), ACID properties, and Parquet storage

✓Medallion architecture: Raw Bronze ingestion, Cleansed Silver tables, Business Gold aggregates

✓Delta Lake features: Time Travel, Schema Enforcement/Evolution, OPTIMIZE, and Z-ORDER indexing

✓Hands-on Lab: Building an enterprise Medallion lakehouse data pipeline

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Unit 4: Delta Live Tables (DLT) & Workflow Orchestration20 Hours

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✓Declarative ETL with Delta Live Tables: Streaming tables, materialized views, and expectations

✓Databricks Workflows: Scheduling multi-task DAGs, parameter passing, and alerting

✓Auto Loader (`cloudFiles`) for scalable, serverless file ingestion from cloud object storage

✓Hands-on Lab: Production Delta Live Tables pipeline with automated data quality expectations

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Unit 5: Unity Catalog Governance & MLflow Machine Learning20 Hours

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Hands-On Practice

4. Hands-on Production Capstone Projects

Real-Time Medallion Financial Data Lakehouse

Distributed Auto Loader ingestion pipeline feeding Silver clean tables and Gold executive dashboards with sub-minute latency.

Enterprise Data Governance & Lineage with Unity Catalog

Full governance deployment implementing role access control, automated column masking, and end-to-end data lineage visualization.

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