GenAI for Data Engineers
This course is 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.
Overview
This course includes:
- 1 hour of on-demand video
- Certificate of completion
- Direct access/chat with the instructor
- 100% self-paced online
As part of the GenAI Academy, "GenAI for Data Engineers" is an exploration of how Generative Artificial Intelligence (GenAI) is transforming the field of data engineering. This course is 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.
Through a combination of discussions, video demos, and guided hands-on activities, learners will gain an understanding of how GenAI can enhance productivity for synthetic data generation, data modeling and schema design, data pipeline creation / code generation for data loading and cleansing, and documentation.
Learners will also consider the ethical concerns surrounding the use of GenAI in data engineering, examining potential risks and challenges, as well as best practices for responsible implementation. 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.
Whether you're an experienced data engineer looking to stay ahead of the curve or an aspiring professional seeking to future-proof your skillset, this course provides a foundation that will empower you to unlock new levels of efficiency, productivity, and creativity in your work.
Skills You Will Gain
Learning Outcomes (At The End Of This Program, You Will Be Able To...)
- Identify the capabilities of GenAI for basic role specific, Data Engineer functions.
- Evaluate the results of GenAI for a real-world application in Data Engineering functions.
- Compare and contrast the risks, challenges, and ethical considerations of GenAI in the workplace for Data Engineer functions in general.
Prerequisites
Participants should understand data pipelines, ETL/ELT processes, data transformation, and common storage technologies. Experience with Python and SQL is beneficial. Curiosity and openness to new technologies, especially GenAI tools, are essential. Prior data engineering experience helps contextualize the content.
Who Should Attend
This course is tailored to data engineering team leaders and data engineers, including:
- Data Engineering Managers and Team Leads responsible for identifying GenAI opportunities and guiding their data engineering teams towards more efficient, innovative, and forward-thinking practices.
- Data Engineers, who are looking to enhance their workflows and boost productivity by incorporating GenAI-powered tools and techniques into their daily tasks.
- Aspiring Data Engineers, who want to future-proof their skills and gain a competitive edge by mastering the integration of GenAI in data engineering.
