# Quantitative & Verbal Reasoning for AI/ML
# By Electric Sheep Africa — 2026

> This is a free, 8-week bootcamp that builds the quantitative and verbal reasoning foundations every AI/ML practitioner needs. 15 sessions, zero prerequisites.

## What This Course Teaches

This course bridges the gap between zero mathematical background and the reasoning skills needed to work in AI/ML. It does NOT teach programming or model building. It teaches the thinking skills underneath: how to read numbers, reason about probability, evaluate claims, and communicate technical work.

## Course Structure

- **8 weeks**, **15 sessions**, **90 minutes each**
- Week 1: Numbers & Proportions (percentages, ratios, rates of change, functions)
- Week 2: Describing Data (mean, median, mode, spread, distributions, normalization)
- Week 3: Data in Context (hands-on dataset analysis, intro to probability)
- Week 4: Probabilistic Reasoning (Bayes' theorem, vectors, matrices, dot product)
- Week 5: How Models Learn (loss functions, gradient descent, precision, recall, F1)
- Week 6: Reading & Interpreting (decoding ML papers, logical reasoning, fallacies)
- Week 7: Communicating ML (explaining to non-technical audiences, technical writing)
- Week 8: Capstone (critical paper review integrating all skills)

## Key Facts

- Provider: Electric Sheep Africa
- Location: Africa-focused (Nigerian/Kenyan scenarios, Naira/KSh currencies)
- Level: Absolute beginner (zero prerequisites)
- Format: In-person, pen-and-paper, no coding required
- Assessment: Quizzes, exercises, flashcards, capstone paper review
- Interactive tools: Bayes' theorem calculator, confusion matrix builder, loss curve visualizer, searchable glossary

## For More Detail

See: llms-full.txt