Managing Artificial Intelligence Projects prepares you for AI project management and program management, equipping you to coordinate and deliver AI initiatives with structure and accountability. As organizations expand AI across business operations, they rely on professionals who can guide projects from strategy through execution and production readiness.¹
Designed for project managers and business or technology professionals overseeing AI initiatives, this certificate prepares you to lead AI delivery in the Microsoft Azure AI ecosystem. Prior experience leading projects and familiarity with project management principles and AI/ML terminology are recommended.
You will learn how to translate business objectives into structured AI delivery plans, coordinate technical and business stakeholders, and manage AI initiatives across planning, oversight, monitoring, and integration. You will strengthen your ability to maintain alignment across teams, manage risks and timelines, and support responsible AI governance in evolving model and data environments.
Through applied scenarios and integrated projects, you’ll practice guiding AI workflows and initiatives from concept to stable production in real enterprise contexts.
By completing this program, you’ll strengthen your readiness for AI Project Manager and AI Program Manager roles in enterprise AI environments.
¹ Deloitte Insights, AI adoption in the workforce.
应用的学习项目
You’ll complete three portfolio-ready projects that reflect real enterprise AI delivery scenarios within the Microsoft Azure AI ecosystem.
In the AI System Delivery Project, you’ll design a structured AI implementation plan, define governance and risk controls, outline deployment milestones, and create monitoring and maintenance strategies.
In the AI Project Leadership simulation, you’ll build a complete execution framework, including sprint planning, resource estimation, RAID logs, stakeholder communication plans, and change management strategies tailored to AI initiatives.
In the Enterprise Impact project, you’ll evaluate AI use cases, prioritize initiatives, and justify investment decisions using business value metrics, compliance considerations, and risk frameworks.
Each project produces practical artifacts you can reference in performance reviews or interviews to demonstrate AI delivery oversight and cross-functional coordination.
