Build AI-Driven Data Warehouses: ChatGPT ETL, & Python BI https://WebToolTip.com Published 2/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: en-GB | Duration: 2h 48m | Size: 1.68 GB
Master ChatGPT ETL scripts, SSIS packages, dimensional modeling & Streamlit BI dashboards for enterprise analytics
What you'll learn
Build a data driven data warehouse
Setup SQL Server and Python Environment
Restore SQL Server databases from backup files and validate that the restore completed correctly.
Create, activate, and manage Python virtual environments to isolate dependencies per project.
Use ChatGPT to generate ETL scripts and data engineering logic, accelerating development while maintaining control.
Build a staging table and create a working SSIS package to load data into SQL Server as part of an ETL pipeline.
Design a dimensional data warehouse model (star schema) and build a Python Streamlit analytics dashboard using SQL KPI queries
Requirements
Basic computer skills (installing software, creating folders, downloading files)
Beginner-level understanding of databases is helpful (but not required)
Basic familiarity with SQL is recommended (SELECT, WHERE, JOIN), but the course will guide step-by-step
No prior SSIS experience is required (you will learn from scratch)
No prior Python experience is required, but basic programming familiarity is a plus
Internet connection required.