Responsible AI

About this course

Translate responsible AI principles into controls across problem framing, data, development, evaluation and deployment.

This foundation course is part of the AI Governance, Ethics & Responsible Technology school. The curriculum includes an estimated 10 of study content. Instructor-led delivery is available online or offline; session schedules are confirmed during enrollment.5 h.

Course curriculum

• Module 1 — From Principles to Practice
• Module 2 — Problem Framing: Should We Build It?
• Module 3 — Datasheets and Data Controls
• Module 4 — Model Development Controls
• Module 5 — Evaluation and Red-Teaming
• Module 6 — Model Cards and Documentation
• Module 7 — Deployment, Monitoring, Incidents and Sign-off

Applied learning

• Case Study — The Review Board
• Lab 1 — A responsible-AI checklist for a live project
• Lab 2 — A model card
• Lab 3 — A pre-deployment review
• Capstone — A Responsible-AI Review Pack

Who this course is for

Student / Beginner; Executive; Engineer / Architect; Government Professional

Prerequisites

No prerequisite course is listed in the academy catalog.

Course details

• Course code: NE-GOV-102
• Level: Foundation
• Estimated duration: 10.5 h
• Delivery: Self-Paced