AI Product Manager

The AI Product Manager Nanodegree Program offers a comprehensive overview of AI and machine learning for business. It covers the basics of AI, how to leverage existing datasets with AI, how to collect or create bespoke datasets for custom AI applications, and how to use the latest Generative AI technologies. In the first project, learners will create a Product Requirements Document (PRD) for a product that incorporates AI personalization and forecasting. Then, in the second project, learners will develop a roadmap for an AI product that requires custom data annotations. Finally, in the third project, learners will build a product strategy for incorporating Large Language Models (LLMs) into an existing product, including plans for measuring both performance metrics and bias metrics.

• Welcome to the AI Product Manager Nanodegree Program
• Leveraging Data with AI
• This course is for product managers who want to build AI products. It does not require any prior familiarity with AI. You'll start by learning how AI can be applied, the different types of AI, data needs for AI, and the AI product lifecycle. Then, you'll dive deeper into two types of AI that can leverage existing datasets: personalization and forecasting. You'll learn some technical details about how these models work and how to evaluate them, and practice what you've learned with hands-on exercises. Finally, you'll pull this all together into a project where you'll develop a PRD for an AI-enabled gift recommendation system in an e-commerce setting.
• Bespoke Datasets for Multimodal AI Products
• This course is for product managers who want to build AI products that include multimodal data such as text, video, and audio. Leveraging existing data for AI applications is a great way to get started, but bespoke datasets can offer improved accuracy, domain specificity, and, ultimately, a competitive advantage. The course starts with an overview of supervised machine learning techniques, computer vision—the technology that allows computers to "see"—and how computer vision and supervised ML can be combined. Then, you'll learn more about how to create bespoke datasets for computer vision and other applications, and conclude with a walkthrough of the key stakeholders involved in AI product development. In the project, you'll develop a roadmap for an AI-powered video creation app.
• Generative AI Products
• This course is for product managers who are building products that contain GenAI features. It starts with teaching some underlying principles about LLMs and conversational AI, then looks at specific ways GenAI can be used in different product features, and what metrics can be used to measure the performance of GenAI features (including information retrieval accuracy and fairness/bias metrics). The course concludes with a project in which you’ll draft a proposal for a GenAI-powered product.
  
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