In this Specialization, you’ll learn to guide a digital product from first idea to retirement, and to put generative AI to work at every step. You’ll start with the skills product managers use daily, including SMART goal setting, elevator pitches, facilitation, and influencing without authority. Then you’ll work through the seven phases of the product management lifecycle, building the artifacts teams rely on — a SWOT, product concept document, project charter, market requirements document, business case, product roadmap, beta plan, launch plan, and end-of-life plan.
You’ll assess markets with Kotler’s Five Levels, segmentation, and Porter’s Five Forces, and calculate payback, ROI, IRR, and NPV. You’ll define user experience and validation requirements using personas, mock-ups, and storyboards, then plan usability studies and beta tests. Finally, you’ll take on AI, exploring the AI product manager’s role, the stages of AI product development, and tools such as Copilot, ChatGPT, and Gemini for research, ideation, roadmaps, and imaging, with bias and ethics in view. By the end, you’ll be able to: Lead a product through the conceive, plan, develop, qualify, launch, deliver, and retire phases Produce the planning, requirements, financial, and launch documents a product team expects Apply generative AI tools to product research, design, documentation, and stakeholder communication Evaluate AI opportunities, risks, bias, and ROI before committing to a build
