Learner · Catalog

Program Catalog

Five competency stacks covering orchestration, safety, design, field operations, and computational sciences. Each stack is a sequence of micro-tutorials, sandbox builds, artifacts, and oral defenses.

15 competencies

AI Orchestration Engineer

Design and operate systems of cooperating AI agents. Master tool use, retrieval, memory, evaluation, and production deployment of agentic workflows.

Target roles: Agent design, multi-agent systems, AI workflow automation

14 competencies

AI Safety & Governance Lead

Ensure AI systems are aligned, auditable, and compliant. Lead red-teaming, bias audits, incident response, and governance documentation.

Target roles: Alignment, audit, policy, risk

13 competencies

Human-AI Product Designer

Design interfaces where humans and AI agents collaborate. Master transparency, trust calibration, failure design, and agentic interaction patterns.

Target roles: UX for agentic systems, AI interaction design

12 competencies

AI-Augmented Field Operator

Operate AI-augmented equipment in the field. Pair skilled trades with AI co-pilots, robotics supervision, predictive maintenance, and AR-guided workflows.

Target roles: Skilled trades + AI co-pilots, robotics operations

16 competencies

Computational Sciences Practitioner

Apply ML to scientific discovery in biology, materials, and climate. Master scientific computing, simulation, PINNs, and reproducible research.

Target roles: Bio, materials, climate + AI