PUBLISHED LESSONS
Build reliable AI behavior.
The audited 29-course path is being added and validated in phases; this Hub continues to surface the currently published, executable lessons.
REFERENCE LIBRARY
Explore by need.
TECHNIQUES
Technique catalog
Compare zero-shot, examples, reasoning, search, tools, and optimization patterns.
APPLICATIONSApplication playbooks
Classification, extraction, RAG, synthetic data, images, and coding.
MODELSModel-aware guidance
Use a stable contract and compare provider/model behavior with evaluation.
SOURCESCurated library
Primary papers, official guidance, tools, security, and governance resources.
FOUNDATIONSModel behavior
Instruction hierarchy, sampling, context windows, structure, and variability.
RELIABILITYHuman-centred AI
Hallucination, sycophancy, robustness, uncertainty, and accountable control.
NAVIGATECourse coverage map
Follow the full progression and see what is foundational, practical, emerging, or model-dependent.