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Learn to apply AI models to enhance productivity for tasks like architecture design, database querying, ETL workflows, and data analysis. Explore ethical considerations and prove your skills with a real-world project. Unlock generative AI skills for data engineering. Boost your skills to revolutionize data pipelines, boost productivity, and stay ahead in the rapidly evolving tech landscape. Complete a shareable project and earn an industry certificate. Enroll now.
Generative AI skills are in demand, with Ascend.io reporting that 89% of respondents reporting using generative AI in some capacity. ZipRecruiter reports that data engineers with generative AI skills earn an average of USD 115,000 annually, with top-end salaries of USD 179,000 annually.
Data engineering is responsible for building strong data pipelines, managing data infrastructure, and ensuring high-quality data evaluation.
This course is suitable for existing and aspiring data engineers, data warehousing specialists, and other data professionals such as data analysts, data scientists, and BI analysts.
First, learn about the current impact of generative AI on data engineering.
Throughout the course, you will assume the role of a data engineer and gain experience using generative AI to enhance productivity by introducing innovative ways to deliver projects.
You will learn how to use and apply generative models for tasks such as architecture design, database querying, data warehouse schema design, data augmentation, data pipelines, ETL workflows, data analysis and mining, data lake house, and data repositories. You will also explore challenges and ethical considerations associated with using Generative AI.
To complete this course, you'll demonstrate your new generative AI skills in a real-world, shareable, hands-on data engineering project.
After you successfully complete your final quiz, you will receive your certificate, and you can request your Badge. You can share both your project and certificate with your current or prospective employers.
Fundamentals of generative AI, prompt engineering, and data engineering
Syllabus
Module 1: Data Engineering and Generative AI
Module 2: Use of Generative AI for Data Engineering
Module 3: Guided Project and Final Exam
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.
