Generative AI Products: How to Get from Idea to MVP

Master the art of AI product development with this comprehensive course on Generative AI Products. Designed for product leaders and entrepreneurs, this program delivers essential knowledge for building successful conversational AI products. Learn proven methodologies for identifying high-impact AI use cases, developing robust data strategies, and implementing effective AI design principles. The course uniquely combines theoretical frameworks with practical applications, focusing on user-centered development approaches specific to chatbots and copilots. Through hands-on projects and real-world case studies, participants gain expertise in AI data strategy, prototype development, and implementation of AI design principles. The curriculum strategically covers three core phases: Define, Design, and Deploy, ensuring a thorough understanding of the AI product development lifecycle. Industry veterans Rupa Chaturvedi and Polly Allen share invaluable insights from their experience at leading tech companies, providing a balanced perspective on both technical and business aspects. The course emphasizes creating Minimal Lovable Products (MLP) in the AI space, teaching participants how to balance technical capabilities with user needs. Special attention is given to ethical AI development practices and scaling considerations. Participants learn to evaluate technical frameworks, implement effective testing strategies, and make data-driven decisions in AI product development. The course includes optional assignments that reinforce learning through practical application. By completion, participants will have developed the skills to create, validate, and launch successful AI products, making this course essential for anyone looking to excel in the rapidly evolving field of AI product management. Perfect for professionals seeking to understand the intersection of AI and product management, this course provides the tools and knowledge needed to lead AI product initiatives confidently.