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AI Operations & Automation Department

The AI Operations & Automation Department teaches students to run production-grade AI/ML systems end to end through hands-on MLOps practice. The curriculum covers (1) building and versioning model registries with MLflow, (2) designing workflow orchestration with Airflow and Prefect, (3) implementing model-serving pipelines with TorchServe and TensorFlow Serving, and (4) instrumenting monitoring and running A/B tests for continuous improvement. Graduates are ready to step directly into deploying and operating reproducible, production-grade AI systems on their own.

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Infrastructure & Cloud Operations DepartmentDatabase & Knowledge Systems DepartmentAI Operations & Automation DepartmentCybersecurity & Compliance DepartmentApplication & Simulation Operations CenterMeta-Governance & Interface CenterSoftware Engineering & Development Center

Field-based Curriculum · 17

This department's curriculum is built directly on the GeoVerse Lab research fields its professors hold — click a field to see how it is taught.

Workflow Orchestration & DAG-Based Task Scheduling
Workflow Orchestration & DAG-Based Task Scheduling
Workflow orchestration declares interdependent tasks as a DAG and schedules them…
Henry Gantt
Experiment Tracking & Small-Sample Experimental Design
Experiment Tracking & Small-Sample Experimental Design
Experiment tracking judges expensive training runs with small-sample statistics.…
William Sealy Gosset
Model Registry & Software Release/Configuration Management
Model Registry & Software Release/Configuration Management
The model registry is the catalog that governs the lifecycle of model artifacts.…
Frederick Brooks
Data Versioning, Schema Modeling & Provenance
Data Versioning, Schema Modeling & Provenance
Data versioning makes dataset and schema change traceable together with lineage.…
Charles Bachman
Model-Serving Reliability & Failure-Time Analysis
Model-Serving Reliability & Failure-Time Analysis
Model-serving reliability applies reliability engineering — treating failure tim…
Waloddi Weibull
System Monitoring & Observability (General Systems Theory)
System Monitoring & Observability (General Systems Theory)
Observability treats the AI platform as one interacting open system and instrume…
Ludwig von Bertalanffy
Data & Model Drift Detection (Statistical Process Control)
Data & Model Drift Detection (Statistical Process Control)
Drift detection is a direct descendant of statistical process control. This cour…
Walter Shewhart
Autoscaling & Queueing-Theoretic Capacity Management
Autoscaling & Queueing-Theoretic Capacity Management
Autoscaling applies queueing theory to serving infrastructure. This course train…
Agner Krarup Erlang
Capacity Forecasting & Time-Series Analysis
Capacity Forecasting & Time-Series Analysis
Capacity forecasting predicts future demand from past telemetry. This course wal…
Gwilym Jenkins
Hyperparameter Optimization & AutoML (Bayesian Optimization)
Hyperparameter Optimization & AutoML (Bayesian Optimization)
Bayesian optimization allocates expensive training runs as a sequential decision…
Jonas Mockus
Model Explainability & Feature-Importance Metrics
Model Explainability & Feature-Importance Metrics
Explainability analysis quantifies and communicates the features driving predict…
Corrado Gini
Automated Control & Self-Healing System Feedback Loops
Automated Control & Self-Healing System Feedback Loops
Self-healing systems apply closed-loop feedback control to infrastructure remedi…
Nicolas Minorsky
A/B Testing & Statistical Hypothesis Testing
A/B Testing & Statistical Hypothesis Testing
A/B testing is the discipline of establishing the effect of a change through con…
Egon Pearson
Feature Engineering & Feature-Store Statistical Foundations
Feature Engineering & Feature-Store Statistical Foundations
The statistical backbone of feature engineering is rank correlation. This course…
Maurice Kendall
Containerization & Time-Sharing/Virtualization Foundations
Containerization & Time-Sharing/Virtualization Foundations
Containerization pushes the timesharing illusion — the felt private ownership of…
Christopher Strachey
Continuous Integration/Deployment & Software Process Discipline
Continuous Integration/Deployment & Software Process Discipline
CI/CD is the process discipline of gating changes behind measured, repeatable qu…
Watts Humphrey
Incident Management, Postmortems & Organizational Reliability Culture
Incident Management, Postmortems & Organizational Reliability Culture
Incident management is rooted in the sociology of organizational disasters. This…
Barry Turner