Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI

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Master the complete data engineering pipeline from ingestion to analytics. Learn to build scalable data systems using Apache Kafka, Spark, and cloud platforms while integrating cutting-edge generative AI technologies. Apply your skills through hands-on projects that mirror real-world data engineering challenges in modern enterprises.

Syllabus

Course 1: Engineering Data Ecosystems: Pipelines, ETL, Spark
Course 2: Data Engineering: Pipelines, ETL, Hadoop
Course 3: Data Warehousing: Schema, ETL, Optimal Performance
Course 4: Microsoft SQL Server: Performance Tuning Essentials
Course 5: Apache Kafka - An Introduction
Course 6: Cloud Architecture Design Patterns
Course 7: Design Real-Time Architectures with Spark & Kafka
Course 8: Smart Data Cleaning with Generative AI
Course 9: GenAI for Data Engineers: Scaling with GenAI

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As part of the GenAI Academy, this course explores how Generative Artificial Intelligence (GenAI) is transforming the field of data engineering. This course serves as a primer where learners will discover the key capabilities of GenAI and uncover practical strategies to leverage these powerful tools in their day-to-day data engineering work. This course is designed for data engineering team leaders and data engineers, including managers and team leads who are responsible for guiding their teams towards innovative practices, as well as data engineers and aspiring professionals looking to enhance their workflows and future-proof their skillsets by incorporating GenAI-powered tools. Learners should have a basic understanding of data pipelines, ETL/ELT processes, and data transformation, along with familiarity with databases, data warehouses, big data frameworks, and programming languages like Python and SQL. An open mindset and curiosity to explore new GenAI technologies are essential. By the end of this course, data engineers will be equipped with the knowledge and skills to start scaling their productivity by harnessing the transformative potential of GenAI.
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