Establishes the foundational content for a structured ML engineering curriculum, covering topics from single-node physics to fleet-scale orchestration.
Adds detailed mission plans for 16 labs in Volume 1 and 17 labs in Volume 2. Each plan outlines chapter context, core invariants, narrative arcs, 3-part missions with objectives, interactive workbenches, and reflection questions to define comprehensive learning experiences.