AI Project Management: Plan, Evaluate, and Optimize AI Systems

As organizations rapidly adopt artificial intelligence, project and program managers must know how to guide these complex systems from initial planning to continuous optimization. This course provides the framework you need to lead AI initiatives confidently, even without a technical background. You will transition from a traditional manager to an AI-capable leader, equipped to define clear project goals, assess AI performance using modern metrics, and establish feedback loops for continuous system learning. What you will learn: Understand fundamental AI terminology, lifecycle stages, and the role of management in system optimization; Plan AI projects by defining realistic objectives, alignment strategies, and resource requirements; Evaluate AI model performance using key metrics, error analysis, and modern bias-assessment techniques; Establish feedback loops and basic MLOps workflows to ensure continuous learning and adaptation of AI systems; Manage risks associated with data quality, security, and ethical AI deployment. The course begins with foundational concepts of AI systems and their lifecycles, then guides you through structured planning frameworks, evaluation methodologies, and iterative learning processes. You will read real-world scenarios and practice analyzing project plans through written exercises. This course is designed for aspiring and current project managers, program managers, and business leaders who want to oversee AI initiatives. No prior programming or technical background is required. Start reading today to master the strategic oversight of modern AI systems.