Start your data engineering career with knowledge of generative artificial intelligence. The process of preparing to work as a data engineer with no prior experience required.
Suggested by: Coursera (What is Coursera?)
No prior knowledge required
No unnecessary risks
Data engineering is about collecting, creating, transforming, and storing data efficiently. Generative AI tools can make any data engineering task more efficient, effective, and convenient in the ETL pipeline. This specialization is not only for data engineers but for anyone interested in using generative AI in data engineering.
Over three independent courses in the specialization, you will begin by learning the differences between generative and discriminative AI. Delve into real-world use cases of generative AI and explore popular generative AI models and tools for creating text, code, images, audio, and video.
Next, you’ll delve into the concepts of prompt engineering in generative AI and real-world business applications. You’ll learn about prompting techniques such as zero-shot and five-shot, explore different approaches to prompt engineering, and use common prompt engineering tools such as IBM Watsonx, Prompt Lab, Spellbook, and Dust.
No prior experience is required to start this internship, although it may be helpful if you have some knowledge of data engineering.
This internship emphasizes hands-on learning and includes a series of hands-on activities and projects. Through these exercises, you will apply the theory and skills you have learned and practice on real-world scenarios.
You will conduct practical labs to:
Take your career to the next level. Let’s get started!
Course 1
6 hours
4.7 (1,221 ratings)
Course 2
7 hours
4.8 (1,889 ratings)
Course 3
12 hours
4.9 (13 ratings)
