Data Engineering has been transformed by Generative AI. Now, GenAI has become an essential skill to have as a data engineer as it can drastically improve your productivity.

In this course you will learn to utilize GenAI for architecture design, database and data warehouse schema design, infrastructure setup as well as for data generation, augmentation, and anonymization. You will also analyze real world scenarios where Generative AI has been used for Data Engineering tasks and gain a deep understanding of its importance.

You will also gain practical knowledge of how to use Generative AI through hands-on labs and applications which you can apply in your real-life profession. You will use GenAI tools and platforms for data pipelines, database querying, data analysis, and data mining. You will also explore challenges and ethical considerations associated with using Generative AI.

At the end of this course you will complete a final exam as well as a final project that you can add to your portfolio and show to potential employers.

Emerge with practical skills to leverage generative AI effectively in data engineering. Expand your Generative AI proficiency to enhance your data engineering career. Enroll today!

Learning Outcomes

After completing this course you will be able to:

Use a variety of generative AI tools and methodologies throughout the data engineering lifecycle.
Perform data engineering tasks including: data generation, augmentation, and anonymization, with the help of generative AI tools.
Engage in hands-on labs and projects to hone generative AI proficiency, focusing on tasks like data warehouse schema design and infrastructure configuration.
Analyze real-world case studies illustrating the effective deployment of Generative AI in ETL processes and data repositories.

Course Syllabus

Module 1: Data Engineering and Generative AI

Welcome
Data Engineering and Generative AI
Generative AI for Data Architecture, Planning and Preparation
Module Assessment

Module 2: Use of Generative AI for Data Engineering

Generative AI for ETL and Data Repositories
Generative AI Considerations in Data Engineering
Module Assessment

Module 3: Guided Project and Final Exam

Guided Project
Final Exam
Course Wrap-Up

General Information

This course is self-paced.
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Recommended Skills Prior to Taking this Course

It is recommended that you have a general familiarity with Generative AI and prompt engineering basics. It is suggested to complete or be familiar with the concepts convered in the following two courses:

Generative AI Essentials
Prompt Engineering Essentials

Generative AI Skills for Data Engineers

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