Generative AI: Elevate your Data Engineering Career

IBM via Coursera

Go to Course: https://www.coursera.org/learn/generative-ai-elevate-your-data-engineering-career

Introduction

Leverage various generative AI tools and techniques in data engineering processes across industries

Implement various data engineering processes such as data generation, augmentation, and anonymization using generative AI tools

Practice generative AI skills in hands-on labs and projects for data warehouse schema design and infrastructure setup

Evaluate real-world case studies showcasing the successful application of Generative AI for ETL and data repositories

Syllabus

Data Engineering and Generative AI

In this module, you will acquire the necessary skills to use generative AI tools for data engineering effectively. You will learn some successful implementations of generative AI tools in databases, data warehousing schema design, data generation, augmentation, and anonymization. You will also learn how to use generative AI for infrastructure design.

Use of Generative AI for Data Engineering

This module will give you the skills and knowledge to effectively use generative AI to prepare data pipelines and ETL workflows. In addition, you will acquire skills in querying databases, data analysis, and data mining. You will also understand the importance of ethical practices in using generative models.

Final Project and Exam

In this module you will work on a real-world dataset and apply the skills acquired in this course to the test. You will use Generative AI to perform multiple Data Engineering operations in terms of planning, preparing and processing the data.

Overview

Data engineering processes have undergone an amazing transformation since the advent of Generative AI. In this course, you will explore the impact of generative AI on data engineering. You as a data engineer can use Generative AI to enhance productivity by introducing innovative ways to deliver projects. 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 d

Skills

Reviews