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Generative AI Skills for Data Engineers

Premium
Intermediatecourse

Boost your Data Engineering career with Generative AI! Use GenAI for ETL, Data Pipelines, Data Architecture, Database Querying, Maintenance & Administration.

Language

  • English

Topic

  • Artificial Intelligence

Industries

  • Social Sciences

Skills You Will Learn

  • Generative AI, Artificial Intelligence, Data Engineering, Data Architecture, Database Querying, Maintenance & Administration

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 12 hours

Platform

  • SkillsNetwork

Last Update

  • September 13, 2024
About This course
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. 
  • This platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari. 

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 

Instructors

Rav Ahuja

Global Program Director, IBM Skills Network

Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.

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Abhishek Gagneja

Freelance Subject Matter Expert

I am a lifelong learner with more than a decade of teaching experience at university level. I am an AI enthusiast and love learning new things.

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