Program Overview
Build Enterprise-Grade Data Platforms
Data engineering is the backbone of every AI and analytics initiative. This intensive bootcamp takes engineers from SQL mastery through modern data stack architecture, cloud data platforms, and real-time streaming — all while building on enterprise-scale sandbox environments. Updated for 2025 with coverage of data lakehouse architectures (Delta Lake, Apache Iceberg), dbt best practices, and AI-ready data pipeline design.
Hands-On Sandbox
Build real data pipelines on cloud sandbox environments with production-grade tooling.
Modern Data Stack
Master dbt, Airflow, Spark, Kafka, and cloud-native warehouses (Snowflake, Databricks, BigQuery).
Streaming & Real-Time
Design and deploy real-time data pipelines with Kafka, Flink, and streaming-first architecture.
Curriculum
Program Curriculum
Structured learning path designed for measurable outcomes
Skills You'll Build
Tools & Technologies
Who Should Attend
Designed for professionals ready to lead and execute real change
Junior Data Engineers
Engineers starting their data engineering career looking for a comprehensive, structured foundation.
Backend Engineers
Software engineers transitioning to data engineering with strong coding skills.
Data Analysts
Analysts looking to level up into data engineering roles with production pipeline skills.
What You'll Walk Away With
Tangible deliverables and capabilities for your organization
Enterprise Data Platform
A fully built, production-grade data platform as your capstone project.
Architecture Documentation
Complete technical documentation for your data platform design and implementation.
Monitoring & Quality Suite
Data quality checks, pipeline monitoring, and alerting configured for production use.
Practitioner Certification
Certification validating enterprise data engineering capabilities.