By Sandeep Belgavi · Learning path · Updated 28 October 2026
Learn the control boundaries before adding more autonomy. Follow the existing architecture and evaluation collections.
Recommended sequence
- Study agent architecture and control boundaries — architecture explanations and design patterns.
- Inspect an uncertain outcome — interactive simulation, not a live distributed deployment.
- Build an evaluation loop — explanations and runnable offline exercises.
How to interpret evidence
An explanation develops a concept using references and reasoning. A simulation shows the output of a simplified model with explicit assumptions. A measured experiment reports an actual run, its configuration, sample size and limitations. A simulation does not establish production performance. Follow each guide’s prerequisites and check the stated expected outcome before changing an input.
All new examples use generic technical tasks and synthetic data. No account, personal dataset or business scenario is required for these browser calculations. Source references remain available in the guides. Choose another learning path.