GenAI for Data Engineers: Scaling with GenAI

Instructors: Christopher Klaus +1 more

What you'll learn

  •   Identify the capabilities of GenAI for basic role specific, Data Engineer functions.
  •   Examine real-world applications to leverage GenAI for streamlining work and fostering innovation in Data Engineering functions.
  •   Deploy strategies and tactics to responsibly integrate GenAI into data engineering practices, while maintaining human oversight and accountability.
  • Skills you'll gain

  •   Data Pipelines
  •   Data Integration
  •   Data Quality
  •   Generative AI
  •   Prompt Engineering
  •   Data Transformation
  •   Database Management
  •   Data Governance
  •   Application Programming Interface (API)
  • There is 1 module in this course

    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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