Getting Started with AI: What a Practical Course Should Cover
https://wiki-triod.win/index.php/Getting_Started_with_AI:_What_a_Practical_Course_Should_Cover
A good practical AI course skips the hype and starts with real-world use cases, then teaches how to pick the right tools and data. It should cover hands-on projects, common pitfalls like bias and overfitting, and how to integrate AI into existing workflows without needing a PhD.