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LinkedIn – Generative AI for Data Engineering: ChatGPT Power Tips 2024-12

Updated August 10, 2026 101 MB
LinkedIn – Generative AI for Data Engineering: ChatGPT Power Tips 2024-12

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Description

Generative AI for Data Engineering: ChatGPT Power Tips. This course teaches how to use ChatGPT and advanced query engineering techniques to automate and improve data engineering tasks with tools like PySpark and Databricks. This course teaches participants how to leverage ChatGPT for coding, automated documentation, and data workflow optimization. Course instructor Deepak Goyal, an Azure Cloud Solutions Architect, teaches practical techniques for generating accurate code, optimizing SQL queries, and creating effective data visualizations. Essential data security and ethical considerations for responsible use of AI are also covered to ensure that the skills learned meet professional standards. Focusing on practical and applied scenarios, this course helps data engineers turn ChatGPT into an effective tool for solving complex challenges and increasing productivity in data engineering processes by using effective queries.

What you will learn

  • Data Engineering:
  • Learn how to use ChatGPT to optimize coding tasks in Data Engineering.
  • Ability to automate documentation and improve data workflows in environments like PySpark and Databricks.
  • Artificial Intelligence (AI) and ChatGPT:
  • In-depth familiarity with ChatGPT’s capabilities in the field of Data Engineering.
  • Learn the principles of responsible use of artificial intelligence, including necessary security and ethical considerations.
  • Prompt Engineering:
  • Master advanced Prompt Engineering techniques to produce accurate and functional code.
  • Ability to use smart commands to optimize SQL queries.
  • Proficiency in using ChatGPT to create high-quality and insightful data visualizations.

This course is suitable for people who:

  • Data Engineers who are looking for innovative ways to increase the speed and efficiency of their coding and analysis tasks.
  • Data Analysts who want to use ChatGPT to optimize SQL queries and produce better data visualizations.
  • AI professionals who want to understand the applications of Generative AI in Data Engineering workflows.
  • Cloud developers and architects working in environments like Azure, PySpark, and Databricks looking to use AI to automate processes.
  • Anyone interested in mastering Prompt Engineering and using ChatGPT to solve Data Engineering challenges efficiently.

Generative AI for Data Engineering Course Details: ChatGPT Power Tips

  • Publisher: LinkedIn
  • Instructor: Deepak Goyal
  • Education level: Intermediate
  • Training duration: 1 hour and 8 minutes

Course topics

Generative AI for Data Engineering: ChatGPT Power Tips

Course images

Generative AI for Data Engineering: ChatGPT Power Tips

Sample course video

Installation Guide

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Subtitles: English

Quality: 720p

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101 MB