IBM
Generative AI: Elevate your Data Engineering Career
IBM

Generative AI: Elevate your Data Engineering Career

This course is part of multiple programs.

Rav Ahuja
Abhishek Gagneja

Instructors: Rav Ahuja +1 more

2,733 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.9

(17 reviews)

Intermediate level

Recommended experience

12 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.9

(17 reviews)

Intermediate level

Recommended experience

12 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 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

Skills you'll gain

  • Category: Convolutional Neural Network
  • Category: Information Engineering
  • Category: Querying Databases
  • Category: Data Generation
  • Category: Generative AI

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 assignments

Taught in English

Build your subject-matter expertise

This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 3 modules in this course

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.

What's included

9 videos2 readings3 assignments5 app items1 discussion prompt7 plugins

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.

What's included

8 videos1 reading3 assignments6 app items3 plugins

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.

What's included

1 video2 readings1 assignment2 app items1 plugin

Instructors

Rav Ahuja
Rav Ahuja
IBM
53 Courses3,061,435 learners

Offered by

IBM

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Frequently asked questions