ChatGPT for Data Engineers
Practical Applications of ChatGPT for Modern Data Engineers
Updated on Oct, 2025
Language - English
Development ,Data Science,ChatGPT
Lectures -49
Resources -9
Duration -5 hours
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Course Description
Whether you are crafting intricate SQL queries, architecting horizontally distributed ETL pipelines, writing auto-generated docs, or debugging code, ChatGPT is your virtual copilot. This course combines hands-on demos, best practices, and real-world examples to demonstrate how to make ChatGPT a part of every aspect of your data engineering workflow — from ideation to deployment.
You'll be at ease with using ChatGPT to:
Construct, refactor, and document SQL queries across several databases
Script data pipeline activities and generation in Bash, Python, and Spark
Translate requirements into technical specs through prompt engineering
Create AI-powered tools to auto-generate documentation, data profiling, and quality testing
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.
Intended for future and current data engineers, data analysts, and technical leaders looking to future-proof themselves using the most current AI technology.
Goals
- Learn to use ChatGPT to write, debug, and optimize data pipeline code, SQL queries, and automation scripts on Spark, Airflow, and Bash platforms.
- Master Prompt Engineering for Data Use Cases
- Learn how to deploy ChatGPT into practical applications such as pipeline development, performance optimization, schema design, and cloud-based deployment.
- Master Prompt Engineering for Data Use Cases
- Learn how to use ChatGPT in actual use cases such as pipeline building, performance optimization, schema design, and deployment on clouds.
- Build custom workflows and tools with ChatGPT and APIs to automate mundane tasks, increase productivity, and improve team collaboration.
Prerequisites
Basic Understanding of Data Engineering ConceptsWorking 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
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to ChatGPT for Data Engineers
8 Lectures
-
Welcome to the Course
04:56
04:56
-
What is ChatGPT? Overview of Generative AI
07:46
07:46
-
Why Data Engineers Should Care About LLMs
04:21
04:21
-
Capabilities & Limitations of ChatGPT
07:40
07:40
-
ChatGPT Sneak Peek
05:16
05:16
-
Hands On Practice Part 1
17:28
17:28
-
Use Cases of ChatGPT in Data Engineering
09:28
09:28
-
Hands On Practice Part 2
23:37
23:37
Mastering Prompt Engineering
5 Lectures
ChatGPT for Data Exploration and SQL
4 Lectures
ChatGPT for Python & Data Pipelines
4 Lectures
Integrating ChatGPT with Data Engineering Tools
4 Lectures
Automation & Documentation with ChatGPT
4 Lectures
ChatGPT for DevOps & Monitoring
4 Lectures
Ethical Use, Risks, and Limitations
4 Lectures
Real-World Projects and Use Cases
4 Lectures
Capstone Project
8 Lectures
Instructor Details
Bigdata Engineer
I am Solution Architect with 12+ year’s of experience in Banking, Telecommunication and Financial Services industry across a diverse range of roles in Credit Card, Payments, Data Warehouse and Data Center programmes
My role as Bigdata and Cloud Architect to work as part of Bigdata team to provide Software Solution.
Responsibilities includes,
- Support all Hadoop related issues
- Benchmark existing systems, Analyse existing system challenges/bottlenecks and Propose right solutions to eliminate them based on various Big Data technologies
- Analyse and Define pros and cons of various technologies and platforms
- Define use cases, solutions and recommendations
- Define Big Data strategy
- Perform detailed analysis of business problems and technical environments
- Define pragmatic Big Data solution based on customer requirements analysis
- Define pragmatic Big Data Cluster recommendations
- Educate customers on various Big Data technologies to help them understand pros and cons of Big Data
- Data Governance
- Build Tools to improve developer productivity and implement standard practices
I am sure the knowledge in these courses can give you extra power to win in life.
All the best!!
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