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