Overview
Data Engineering is all about efficient data collection, generation, transformation, and storage. Generative AI tools have the capability of making each of these data engineering tasks more efficient, effective, and convenient on an ETL pipeline. This specialization is designed not only for Data Engineers but also for anyone who might be interested in the use of generative AI in Data Engineering.
With three self-paced courses in the specialization, you will begin with learning the differences that distinguish generative AI from discriminative AI. You’ll delve into real-world generative AI use cases and explore popular generative AI models and tools for text, code, image, audio, and video generation.
Next, delve into generative AI prompt engineering concepts and real-world business uses. Learn about prompt techniques like zero-shot and few-shot and explore various prompt engineering approaches and commonly used prompt engineering tools, including IBM Watsonx, Prompt Lab, Spellbook, and Dust.
No experience is needed to begin this specialization, although you might find it helpful to have some data engineering knowledge. Take your career to the next level. Let’s get started!
University: Provider: Coursera
Categories: Generative AI Courses, Prompt Engineering Courses, Few-shot Learning Courses, Data Engineering Courses, ETL Pipelines Courses
