Practical Applications of ChatGPT for Modern Data Engineers
In today’s fast-paced data-driven world, efficiency, automation, and innovation are key to staying ahead. This course, “ChatGPT for Data Engineers,” is designed to empower data professionals with the practical skills and strategies to leverage Generative AI tools like ChatGPT in real-world data engineering workflows.
What you’ll learn
- 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..
Course Content
- Introduction to ChatGPT for Data Engineers –> 7 lectures • 1hr 16min.
- Mastering Prompt Engineering –> 5 lectures • 36min.
- ChatGPT for Data Exploration and SQL –> 4 lectures • 33min.
- ChatGPT for Python & Data Pipelines –> 4 lectures • 28min.
- Integrating ChatGPT with Data Engineering Tools –> 4 lectures • 26min.
- Automation & Documentation with ChatGPT –> 4 lectures • 20min.
- ChatGPT for DevOps & Monitoring –> 4 lectures • 21min.
- Ethical Use, Risks, and Limitations –> 4 lectures • 18min.
- Real-World Projects and Use Cases –> 2 lectures • 18min.
Requirements
In today’s fast-paced data-driven world, efficiency, automation, and innovation are key to staying ahead. This course, “ChatGPT for Data Engineers,” is designed to empower data professionals with the practical skills and strategies to leverage Generative AI tools like ChatGPT in real-world data engineering workflows.
Whether you’re writing complex SQL queries, designing scalable ETL pipelines, automating documentation, or debugging code, ChatGPT can act as your virtual co-pilot. This course blends hands-on demos, best practices, and real-world use cases to help you integrate ChatGPT into every stage of your data engineering lifecycle — from ideation to implementation.
You’ll learn how to use ChatGPT to:
- Generate, optimize, and explain SQL queries for different databases
- Automate data pipeline tasks and script generation in Python, Bash, and Spark
- Translate requirements into technical specifications using prompt engineering
- Build AI-powered tools to streamline documentation, data profiling, and quality checks
By the end of this course, you’ll not only understand the capabilities and limitations of ChatGPT, but also have the skills to apply it confidently in your daily workflow to save time, improve accuracy, and drive innovation.
Perfect for aspiring and experienced data engineers, data analysts, and technical leads looking to future-proof their skill set with cutting-edge AI tools.