This 9-credit professional graduate certificate retools working analysts, data scientists, and ML practitioners for the production-AI era. The three courses are two SPE 810 special topics and an 800-level capstone produces an end-to-end production AI/ML system artifact. Targeted at working analysts, BI professionals, and junior-to-mid data scientists and ML engineers, the certificate is positioned to stack into aligned Stevens Online master's programs for further depth. Course offerings, prerequisites, and minimum-grade policy will follow the College of Professional Education's standard certificate policy.

Upon completion of this certificate, learners will:

1. Advance into applied AI data science roles that integrate machine learning, grounded generative AI, and agentic solution design into enterprise analytical work.

2. Lead or contribute to the development of validated AI solutions that connect data science methods to operational, engineering, and business outcomes.

3. Evaluate and strengthen enterprise AI solution design by integrating sound experimentation, governance, interpretability, and deployment-oriented thinking.

4. Apply professional judgment to balance analytical rigor, responsible AI practice, implementation constraints, and organizational priorities in data-driven AI initiatives.

5. Communicate and translate AI solution requirements, results, and recommendations effectively to technical and non-technical stakeholders to enable downstream adoption and execution.