AI Project Management and Strategy Fundamentals

Artificial intelligence is transforming modern industries, but turning AI potential into practical business results requires clear leadership and strategic planning. This course equips you with the fundamental knowledge and decision-making frameworks needed to oversee AI initiatives from inception to delivery. Through clear text explanations and structured case scenarios, you will develop the literacy to bridge the gap between technical teams and executive goals. You will gain a thorough grasp of modern AI capabilities, project scoping, risk governance, and implementation workflows. What you'll learn: - Understand core artificial intelligence, machine learning, and generative AI concepts and terminology - Evaluate business use cases to identify high-impact, feasible AI opportunities - Scope and structure AI projects, setting realistic benchmarks, timelines, and milestones - Apply modern prompt engineering principles and retrieval-augmented generation concepts to workflow design - Manage ethical considerations, data governance, and risk mitigation strategies in AI deployment - Communicate effectively across multidisciplinary teams to align technical execution with business strategy The course begins by clarifying essential AI vocabulary and system architecture concepts before progressing into practical frameworks for project planning, resource allocation, and ongoing performance evaluation. This course is designed for aspiring managers, product owners, team leaders, and professionals looking to direct AI initiatives with confidence. No prior programming or data science experience is required. Start reading today to build your foundation in managing successful artificial intelligence projects.