AB-731 Clear Explanations and Topic Coverage
Microsoft AB-731 Exam Specifications
- Exam Code:
- AB-731
- Exam Name:
- AI Transformation Leader (beta)
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AI Transformation Leader (beta) Syllabus Topics
The AI Transformation Leader (beta) exam equips you to translate strategic goals into actionable AI programs, establish robust data governance and data quality standards, design scalable architectures with deployment pipelines and MLOps, and lead cross-functional teams to accelerate delivery. You will also learn to measure impact with KPIs and executive ROI storytelling, drive change management and adoption, navigate risk, security, privacy and regulatory considerations, and develop a practical AI roadmap with budgeting, prioritization, and milestones.
Major Topics Covered
- Strategic alignment of AI initiatives with business goals and measurable outcomes
- Establishing robust data governance and data quality frameworks to support AI efforts
- Leading cross-functional teams and stakeholder collaboration to accelerate AI delivery
- Designing scalable AI architectures, deployment pipelines, and MLOps practices
- Fostering ethical, transparent, and accountable AI with governance controls
- Measuring impact through KPIs, dashboards, and ROI storytelling for executives
- Driving change management and adoption strategies to embed AI capabilities
- Managing risk, security, privacy, and regulatory considerations across programs
- Developing a practical AI roadmap with budgeting, prioritization, and milestones
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