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Generative AI: Elevate your Data Engineering Career

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Generative AI: Elevate your Data Engineering Career

This course is part of multiple programs.

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4.5

68 reviews

Intermediate level

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1 week to complete
at 10 hours a week
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Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.5

68 reviews

Intermediate level

Recommended experience

1 week to complete
at 10 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

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Assessments

7 assignments

Taught in English

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  • 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

There are 3 modules in this course

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 data engineers, data warehousing specialists, and other data professionals such as data analysts, data scientists and BI analysts. 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 lakehouse, and data repositories. You will also explore challenges and ethical considerations associated with using Generative AI. Demonstrate your new generative AI skills in a hands-on data engineering project that you can apply in your real-life profession. Then, complete your final quiz to earn your certificate. You can share both your project and certificate with your current or prospective employers.

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

13 videos2 readings3 assignments5 app items1 discussion prompt7 plugins

13 videosTotal 71 minutes
  • Course Introduction3 minutes
  • Meet Your Experts3 minutes
  • Generative AI for Data Engineering 4 minutes
  • How Data Engineers Leverage the Power of Generative AI 9 minutes
  • Examples of Generative AI in Data Engineering 5 minutes
  • Expert Viewpoints: Impact of Generative AI on Data Engineering5 minutes
  • Data Engineering |Expert Viewpoints: AI’s Impact on the Design and Architecture of Data Repositories5 minutes
  • Designing Future-Ready Data Architectures with Generative AI4 minutes
  • Automating Schema Design with Generative AI 8 minutes
  • Demo: Generative AI for Data Generation and Augmentation 7 minutes
  • Demo: Generative AI for Infrastructure Setup6 minutes
  • Expert Viewpoints: How is Gen AI impacting the Design and Architecture of Data Repositories?5 minutes
  • Successful Implementations of Generative AI for Data Design 6 minutes
2 readingsTotal 5 minutes
  • Reading: Course Syllabus and Prerequisites 3 minutes
  • Module 1 Summary: Data Engineering and Generative AI2 minutes
3 assignmentsTotal 50 minutes
  • Module 1 Graded Quiz: Data Engineering and Generative AI30 minutes
  • Practice Quiz: Data Engineering and Generative AI 10 minutes
  • Practice Quiz Generative AI for Data Design10 minutes
5 app itemsTotal 135 minutes
  • Hands-on Lab: Generative AI for Architecture Design 30 minutes
  • Hands-on Lab: Generative AI for Database, Data Warehouse Schema Design30 minutes
  • Hands-on Lab: Generative AI for Data Anonymization30 minutes
  • Hands-on Lab: Testing Environment15 minutes
  • Hands-on Lab: Generative AI for Infrastructure Setup30 minutes
1 discussion promptTotal 5 minutes
  • Discussion Prompt: Discuss How Generative AI Can Be Used in Data Engineering 5 minutes
7 pluginsTotal 76 minutes
  • Helpful Tips for Course Completion3 minutes
  • Reading: Generative AI Tools for Data Engineering10 minutes
  • Reading: Case Study on Successful Implementations of Generative AI in Data Engineering 6 minutes
  • Reading: Leveraging Generative AI in Data Engineering Process 7 minutes
  • Hands-on Lab: Generative AI for Data Generation and Augmentation30 minutes
  • Reading: Generative AI for Data Anonymization5 minutes
  • Module 1 Cheat Sheet: Data Engineering and Generative AI15 minutes

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

10 videos1 reading3 assignments6 app items3 plugins

10 videosTotal 52 minutes
  • Demo: Generative AI for Data Pipelines and ETL Workflows6 minutes
  • Demo: Generative AI for Data Repository Maintenance and Administration4 minutes
  • Demo: Generative AI for Querying Databases5 minutes
  • Demo: Generative AI for Data Mining and Analysis4 minutes
  • Generative AI for Data Lakehouse7 minutes
  • Expert's Viewpoint: AI's Role in Shaping Data Repositories4 minutes
  • Successful Implementations of Generative AI for ETL and Data Repositories  7 minutes
  • Considerations While Using Generative AI in Industries6 minutes
  • Challenges While Using Generative AI7 minutes
  • Data Engineering |What are the key risks and challenges of using Generative AI for data professionals?3 minutes
1 readingTotal 5 minutes
  • Module 2 Summary: Use of Generative AI for Data Engineering5 minutes
3 assignmentsTotal 46 minutes
  • Module 2 Graded Quiz: Use of Generative AI for Data Engineering30 minutes
  • Practice Quiz: Generative AI for ETL and Data Repositories 6 minutes
  • Practice Quiz: Generative AI Considerations for Data Professionals10 minutes
6 app itemsTotal 195 minutes
  • Hands-on Lab: Generative AI for Data Pipelines and ETL Workflows 30 minutes
  • Hands-on Lab: Generative AI for Data Repository Maintenance and Administration 30 minutes
  • Hands-on Lab: Generative AI for Querying Databases30 minutes
  • Hands-on Lab: Generative AI for Data Analysis and Mining 30 minutes
  • Hands-on Lab: Testing Environment15 minutes
  • Hands-on Lab: Considerations for Data Professionals using Gen AI60 minutes
3 pluginsTotal 21 minutes
  • Reading: Responsible Generative AI for Data Professionals10 minutes
  • Case Study: Considerations While Using Generative AI in Healthcare6 minutes
  • Reading: Module 2 Cheat Sheet: Use of Generative AI for Data Engineering5 minutes

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

2 videos2 readings1 assignment2 app items1 plugin

2 videosTotal 9 minutes
  • Enhancing Your Data Engineer Career with Generative AI6 minutes
  • Expert Viewpoints: Tips for Data Professionals3 minutes
2 readingsTotal 6 minutes
  • Congratulations and Next Steps5 minutes
  • Thanks from the Course Team1 minute
1 assignmentTotal 30 minutes
  • Final Exam30 minutes
2 app itemsTotal 90 minutes
  • Hands-on Lab: Final Project75 minutes
  • Hands-on Lab: Testing Environment15 minutes
1 pluginTotal 5 minutes
  • Reading: Final Project Overview5 minutes

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Instructor

Instructor ratings
4.4 (14 ratings)
IBM
55 Courses5,115,016 learners

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