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⇱ GenAI for Data Engineers: Scaling with GenAI | Coursera

GenAI for Data Engineers: Scaling with GenAI

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GenAI for Data Engineers: Scaling with GenAI

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify the capabilities of GenAI for basic role specific, Data Engineer functions.

  • Examine real-world applications to leverage GenAI for streamlining work and fostering innovation in Data Engineering functions.

  • Deploy strategies and tactics to responsibly integrate GenAI into data engineering practices, while maintaining human oversight and accountability.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • 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 is 1 module in this course

As part of the GenAI Academy, this course explores how Generative Artificial Intelligence (GenAI) is transforming the field of data engineering. This course serves as a primer where learners will discover the key capabilities of GenAI and uncover practical strategies to leverage these powerful tools in their day-to-day data engineering work.

This course is designed for data engineering team leaders and data engineers, including managers and team leads who are responsible for guiding their teams towards innovative practices, as well as data engineers and aspiring professionals looking to enhance their workflows and future-proof their skillsets by incorporating GenAI-powered tools. Learners should have a basic understanding of data pipelines, ETL/ELT processes, and data transformation, along with familiarity with databases, data warehouses, big data frameworks, and programming languages like Python and SQL. An open mindset and curiosity to explore new GenAI technologies are essential. By the end of this course, data engineers will be equipped with the knowledge and skills to start scaling their productivity by harnessing the transformative potential of GenAI.

This course serves as a primer where learners will discover the key capabilities of GenAI and uncover practical strategies to leverage these powerful tools in their day-to-day data engineering work. By the end of this course, data engineers will be equipped with the knowledge and skills to start scaling their productivity by harnessing the transformative potential of GenAI.

What's included

6 videos5 readings2 assignments1 peer review

6 videos•Total 50 minutes
  • Introduction to GenAI for Data Engineers•4 minutes
  • History & Background for GenAI and Data Engineering•9 minutes
  • Demo: Create Synthetic Data for Testing a Data Pipeline with ChatGPT•6 minutes
  • Remediating Risks and Ethical Concerns•7 minutes
  • Demo: Data Pipeline Development from Low-Code, to SQL, to Python with ChatGPT•23 minutes
  • Closing Thoughts: What’s Next•1 minute
5 readings•Total 45 minutes
  • Our Roadmap & Resources Available: How to Get Started•5 minutes
  • GenAI and Data Engineering: Glossary•10 minutes
  • Demo: Create Synthetic Data for Testing a Data Pipeline with Google Gemini•10 minutes
  • Demo: Create and Implement an Entity Relationship Diagram with CoPilot•10 minutes
  • Demo: Data Pipeline Development with Data Loading and Code Documentation using ChatGPT•10 minutes
2 assignments•Total 50 minutes
  • GenAI for Data Engineers: Scaling with GenAI•20 minutes
  • Entity Relationship Diagram •30 minutes
1 peer review•Total 10 minutes
  • [optional] Entity Relationship Diagram Showcase•10 minutes

Earn a career certificate

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Instructors

Coursera
16 Courses•17,377 learners

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.