Books and chapters
A progressive curriculum from mathematical thinking and statistics to machine learning, generative AI, engineering and leadership.
Created and authored by Mbaye Kebe
From statistical reasoning to responsible artificial intelligence.
SRAI is an integrated educational, publishing and software ecosystem connecting rigorous statistics and mathematical reasoning with reproducible computation, modern AI and real-world implementation.
9 instructional books200 chapters200 companion notebooks
Reasoning before automation
Assumptions → Evidence → Uncertainty → Decisions
01 / PURPOSE
Reliable AI requires more than tools and code.
It requires clear assumptions, sound reasoning, reproducible evidence, awareness of uncertainty, and responsibility for the decisions that follow. SRAI turns those principles into a structured, practical learning journey.
02 / THE ECOSYSTEM
One coherent programme.
Multiple ways to learn and apply.
Computational notebooks
Canonical, executable notebooks that connect concepts to evidence through transparent and repeatable computation.
Exercises and solutions
Structured opportunities to test understanding, strengthen judgment and move from explanation to independent application.
Lessons and applied tools
Long-form instruction, executive briefs and practical assets for professionals, institutions and consequential decisions.
03 / WHO IT SERVES
01
Learners & educators
Build durable foundations and teach AI with rigor.
02
Technical professionals
Connect models, code, uncertainty and reproducibility.
03
Institutions & leaders
Relate AI to systems, evidence and accountable decisions.
Book 1 · Chapter 1
Mathematical Thinking and Reproducible Computation
The first SRAI Production Unit establishes precise definitions, explicit assumptions, computational verification and reproducible evidence.
Educational chapterCanonical notebookExercises & solutionsVideo lessonExecutive briefGitHub resources
Released as version v1.0.0.
Review the learning unit →SRAI ON YOUTUBE
Begin with the story behind the programme.
Watch the introductory trailer, then subscribe for structured long-form lessons and coordinated learning resources.