Technical AI Governance Essentials - Optimization

Overview

This course provides a comprehensive roadmap for organizations to mature their AI governance capabilities from a hands-on, technical perspective. The course's primary goal is to guide students in establishing, integrating, and orchestrating AI governance platforms, ultimately positioning technical governance as an enabler of speed and innovation.

What You'll Learn

• Explain the holistic approach, principles, and key considerations of AI governance.
• Design architecture patterns for governance-by-design.
• Implement strategies for AI governance across different organizational scales.
• Integrate governance techniques within diverse technical environments.
• Apply advanced optimization and automation approaches to AI governance.
• Develop platform designs for governance-as-a-service.

Who Should Attend

Technical practitioners and technical-adjacent roles, such as data scientists, MLOps engineers, data engineers, cloud security architects, and technical leads responsible for designing, building, and maintaining AI systems.

Prerequisites

Any technical background—experience implementing production systems, software engineers, solution architects, and security professionals.

Course Modules