Data Engineering for AI Systems
Create scalable data pipelines with SQL, Apache Spark, Hadoop, and Airflow.
Course overview
Create scalable data pipelines with SQL, Apache Spark, Hadoop, and Airflow.
What you’ll learn
- Design and build scalable data pipelines for AI and machine learning systems.
- Collect, process, and transform large-scale data from multiple sources efficiently.
- Work with big data technologies like Hadoop and Spark for distributed processing.
- Implement real-time and batch data ingestion techniques for AI applications.
- Ensure data quality, reliability, and security across data engineering workflows.
- Develop end-to-end data engineering projects for real-world AI systems.
Course Curriculum
A structured, progressive curriculum designed to build depth, intuition, and real-world proficiency over time.
This section introduces key concepts and builds intuition through structured lessons and exercises.
Who this course is for
- Strong understanding of Python and SQL
- Basic knowledge of databases and data structures
- Familiarity with data processing and ETL concepts
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