Building the Business Case for AI Projects

Many organizations want to adopt artificial intelligence, but turning high-level hype into a viable, value-generating project is a major challenge. Success begins with a clear, strategic justification that aligns technical feasibility with business goals. This text-based course guides you through the foundational steps of identifying high-impact AI opportunities and defining the collaborative roles of product owners and data scientists. You will learn how to evaluate risks, estimate business value, and formulate a structured proposal that stakeholders can support. What you'll learn: - Understand the fundamental terminology of AI, machine learning, and modern generative models. - Define the distinct roles and collaboration patterns of product owners and data science teams. - Evaluate AI project viability using practical feasibility frameworks and ROI-driven metrics. - Identify high-value use cases for AI within your organization while avoiding common pitfalls. - Address modern compliance, data privacy, and ethical considerations in your business proposal. Starting with core concepts, the course builds your knowledge sequentially, moving from initial opportunity assessment to structured business case formulation through clear written explanations and practical scenarios. This program is designed for aspiring product managers, business analysts, and team leaders who want to initiate AI initiatives without needing a background in coding. Start reading today to confidently bridge the gap between business strategy and artificial intelligence.