Quality engineering for probabilistic systems.
1Testing the Unpredictable
Master the patterns for validating AI outputs and ensuring model stability across different devices.
Learn the strategies for testing AI models, handling edge cases, and debugging browser-based ML.
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Quality assurance.
Quick Quiz //
Why is testing AI harder than testing standard code?
Quality engineering for probabilistic systems.
Master the patterns for validating AI outputs and ensuring model stability across different devices.

Pascual Vila
Frontend Instructor // Code Syllabus
API Requests and Middleware
Advantages of Running ML in the Browser (Low Latency)
aiapp capstone intro
aiapp client side ml intro
Building Data Pipelines in the Browser
aiapp data visualization