20 focused chapters covering theory, tools, and production workflows.

Foundations of Digital Lightness: principles, constraints, and visual strategy.

Human perception of light: cues to prioritize for believable results.

AI lighting fundamentals: depth, albedo, and relighting architectures.

Tools & platforms: cloud, desktop, and on‑device options.

Prompt engineering: templates for cinematic, natural, and stylized light.

Dataset prep: capture tips, annotations, and privacy best practices.

Lightweight models: quantization, pruning, and distillation for mobile.

Real‑time relighting: architectures and UX for live streams.

Color management & HDR: workflows to preserve fidelity across devices.

Image & video relighting recipes: step‑by‑step presets and failure modes.

Face & skin fidelity: identity‑preserving techniques and safety checks.

Stylization & minimalism: high‑impact, low‑compute aesthetics.

Automation & batch processing: scalable pipelines and QA checks.

UI patterns: simple controls, advanced panels, and trust signals.

Evaluation metrics: perceptual tests, LPIPS, ΔE, and operational KPIs.

Ethics & consent: provenance, disclosure, and fairness audits.

Performance optimization: runtime, thermal, and battery strategies.

Case studies: mobile apps, e‑commerce, and indie film workflows.

Roadmap & templates: pilot plan, validation suite, and rollout checklist.