From Zero to AI Hero
summary
Team learns Python and pandas, builds an automation framework, and uses data analytics to remove 900 test cases after validation shows quality does not drop, saving execution and maintenance cost; they implement computer vision for fuzzy screenshot comparison that detects a recurring 18‑pixel rendering bug, and run quick sentiment analysis with a few lines of code to track customer feedback. Prototyped automation and ML launch rapidly—one month to build framework for experienced coders—and demos force progress.
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chapters (15)
- 0:00Start
- 1:19Thoughts after this presentation
- 2:22ML Recommendation System
- 4:46Our Path to Automation
- 5:34Quick Plug for Python
- 6:07How to Learn Python
- 6:40Automation: Keys to Success
- 7:54How to learn Data Science
- 9:14Data, data, data
- 10:15Chart of Test Cases Pass/Fail
- 10:51Additional Questions
- 11:50ML Learning Plan
- 13:10Fuzzy Screenshot Comparison
- 13:46Al Bug Detected
- 15:35Sentiment Analysis
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