\( \newcommand{\vect}[1]{\mathbf{#1}} \newcommand{\mat}[1]{\mathbf{#1}} \newcommand{\R}{\mathbb{R}} \newcommand{\E}{\mathbb{E}} \newcommand{\Prob}{\mathbb{P}} \newcommand{\T}{^{\top}} \newcommand{\norm}[1]{\lVert #1 \rVert} \newcommand{\abs}[1]{\lvert #1 \rvert} \newcommand{\ihat}{\mkern1mu\hat{\boldsymbol{\imath}}\mkern2mu} \newcommand{\jhat}{\mkern1mu\hat{\boldsymbol{\jmath}}\mkern2mu} \newcommand{\pd}[2]{\frac{\partial #1}{\partial #2}} \newcommand{\argmax}{\operatorname*{arg\,max}} \newcommand{\argmin}{\operatorname*{arg\,min}} \newcommand{\cdata}[1]{\class{c-data}{#1}} \newcommand{\cmodel}[1]{\class{c-model}{#1}} \newcommand{\ctruth}[1]{\class{c-truth}{#1}} \newcommand{\cgrad}[1]{\class{c-grad}{#1}} \newcommand{\closs}[1]{\class{c-loss}{#1}} \newcommand{\cparam}[1]{\class{c-param}{#1}} \newcommand{\csecond}[1]{\class{c-second}{#1}} \renewcommand{\,}{\mkern3mu} \)

Track E · ML Engineering

The ML Engineering track of Applied AI Mastery: 5 free, illustrated courses and 42 modules, L2 to L4. Turning models into running systems.

Track E L2 to L4 · Intermediate to Expert 5 courses · 42 modules

Turning models into running systems.

Course	Level	Modules	Status
E01 ML System Design	Level L2	Modules 8	Status Planned · Ring 3
E02 MLOps	Level L3	Modules 10	Status Planned · Ring 3
E03 Model Optimization and Serving	Level L3	Modules 8	Status Planned · Ring 3
E04 Large-Scale Training Systems	Level L4	Modules 8	Status Planned · Ring 4
E05 Data-Centric AI	Level L3	Modules 8	Status Planned · Ring 3

See how this track connects to the others in the curriculum overview.