From Google Sheets to Python: When AI Isn’t Enough – Webinar VII
Duration: 3 Hours
Level: Intermediate
Format: Live Human Online Webinar with Guided Labs
Tools Used: Google Gemini + Google Sheets + Python
Webinar Schedule (3 Hours)
Session 1: Recognizing the Limits of Google Sheets + AI
Where spreadsheets work well—and where they break down
Performance limits (row counts, complexity, speed)
Repetitive workflows and error-prone manual steps
What AI can assist with vs what requires real automation
Lab 1:
Review a complex Google Sheets workflow
Use Gemini to identify inefficiencies and risks
Define which parts should stay in Sheets
Identify candidates for Python automation
Session 2: Translating Spreadsheet Logic into Python
Mapping spreadsheet concepts to Python logic
Rows, columns, formulas → data structures and functions
Replacing formulas with readable, testable code
Using Python for repeatable data processing
Lab 2:
Export data from Google Sheets
Recreate spreadsheet calculations in Python
Validate Python results against Sheet totals
Compare clarity, speed, and reliability
Session 3: Designing Hybrid Workflows (Sheets + Python + AI)
When to keep Sheets as the front end
When Python should handle processing
Using AI to assist—not replace—Python logic
Building scalable, maintainable workflows
Lab 3:
Build a hybrid workflow: Sheets → Python → output
Use AI to help explain or refactor Python logic
Create a reusable processing script
Define guardrails and validation checks
Webinar Description
From Google Sheets to Python: When AI Isn’t Enough – Webinar VII addresses a common and critical question:
“When should I stop trying to fix this in Sheets?”
In this hands-on webinar, participants learn how to recognize when spreadsheet-based workflows—even with AI assistance—become inefficient, fragile, or risky. Rather than forcing increasingly complex formulas or relying on AI guesses, attendees learn how to graduate workflows into Python for clarity, performance, and reliability.
The session emphasizes decision-making, not just tooling. Participants learn how to keep Google Sheets where it adds value, use AI as a helper, and introduce Python only where it truly improves outcomes.
By the end of the webinar, attendees will understand when to move beyond Sheets, how to translate logic into Python, and how to build workflows that scale cleanly.
Lab & Exercise Structure
Each lab is:
Instructor-guided with live explanation
Based on real spreadsheet pain points
Focused on validation and correctness
Designed to show why Python is the better tool
Labs mirror real-world reporting, accounting, and automation scenarios.
Who This Webinar Is For
Power spreadsheet users hitting complexity limits
Accountants and analysts with growing datasets
Professionals automating recurring reports
Anyone relying too heavily on fragile formulas
What You’ll Gain
Ability to recognize when Sheets + AI is no longer enough
Confidence translating spreadsheet logic into Python
Understanding of hybrid AI + Python workflows
Cleaner, faster, more reliable data processing
Other AI, Python & Automation Webinars
This webinar caps the Sheets → AI → Python progression.
Additional advanced webinars can expand on this by covering:
Python automation for accounting workflows
Scheduling and running Python scripts reliably
Validating financial data with Python
Moving from Python to databases and dashboards
From Google Sheets to Python: When AI Isn’t Enough – Webinar VII gives you the judgment—and the tools—to stop forcing spreadsheets to do jobs they were never meant to handle.
