Practical Applications of ChatGPT for Modern Data Engineers
Sub Category
- Data Science
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Objectives
- Learn how to use ChatGPT to write, debug, and optimize code for data pipelines, SQL queries, and automation scripts across tools like Spark, Airflow, and Bash.
- Master Prompt Engineering for Data Use Cases
- Discover how to apply ChatGPT in real-life use cases including pipeline creation, performance tuning, schema design, and cloud-based deployment.
- Create custom workflows and tools using ChatGPT and APIs to automate repetitive tasks, enhance productivity, and boost team collaboration.
Pre Requisites
- Basic Understanding of Data Engineering Concepts
- Working Knowledge of SQL and Python
- Comfort with the Command Line & Scripting
- Curiosity About AI and Automation
- Optional: Familiarity with Tools Like Spark, Airflow, or Docker
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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