Generative AI for Data Engineers Coursera

Overview

This Generative AI for Data Engineers Specialization is offered by Coursera in partnership with IBM. Data Engineering is all about efficient data collection, generation, transformation and storage. Generative AI tools have the capability of making each of data engineering tasks more efficient, effective, and convenient on an ETL pipeline. This specialization is designed not only for Data Engineers but for anyone who might be interested in the use of generative AI in Data Engineering. 

What you'll learn

• Apply your skills to recognize real-world generative AI uses and identify generative AI models and tools for text, code, image, audio, and video.

• Explain generative AI prompt engineering concepts, examples, and common tools and learn techniques needed to create effective, impactful prompts.

• Implement data engineering processes such as data warehouse schema design, data generation, augmentation and anonymization using generative AI tools

• Evaluate real-world case studies showcasing the successful application of generative AI for ETL and data repositories

Skills you'll gain

• Information Engineering

• Querying Databases

• Data Generation

• Convolutional Neural Networks

• Generative AI

• Artificial Intelligence (AI)

• ChatGPT

• Large Language Models (LLM)

• Natural Language Generation

• Prompt Engineering

• prompt patterns