Why This Course
As AI regulation matures globally, engineering teams increasingly need working knowledge of responsible AI practices, not just model performance.
What You’ll Learn
- Bias and fairness in ML models
- Model transparency and explainability
- Current AI governance frameworks and regulatory landscape
- Building responsible AI practices into engineering workflows
Curriculum
- Responsible AI Principles
- Bias & Fairness in ML
- Explainability & Transparency
- AI Governance Frameworks
- Regulatory Landscape Overview
- Capstone: Responsible AI Audit Exercise
Who Should Attend
AI/ML engineers, product managers, and technical leads responsible for AI systems.
Prerequisites
Basic machine learning familiarity.