ChatGPT for Data Engineers

Course Overview

• Course Title: ChatGPT for Data Engineers
• Instructor: Bhavesh Bhadricha
• Target Audience:
  • Aspiring and experienced data engineers
  • Data analysts
  • Technical leads
• Prerequisites:
  • 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

Curriculum Highlights

• Key Topics Covered:
  • Using ChatGPT for data engineering tasks
  • Prompt engineering for data use cases
  • Real-life use cases including pipeline creation, performance tuning, schema design, and cloud-based deployment
  • Automating repetitive tasks with ChatGPT and APIs
• Key Skills Learned:
  • Writing, debugging, and optimizing code for data pipelines
  • Generating, optimizing, and explaining SQL queries
  • Automating data pipeline tasks and script generation
  • Building AI-powered tools for documentation and quality checks

Course Format

• Duration: 5 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 5 downloadable resources
  • Access on mobile and TV
  • Certificate of completion