AI+ Product Manager

This AI+ for Product Managers certification offers a comprehensive foundation in artificial intelligence tailored for product management professionals. It begins by demystifying AI, exploring its various branches, and delving into specific AI applications within product management. Students will learn about the evolving role of an AI Product Manager and how this position is critical in bridging the gap between cutting-edge technology and practical, market-driven solutions. The module further highlights the significance of AI in product development, detailing the benefits and competitive advantages it brings to the table. By the end of this course, participants will possess a solid understanding of AI fundamentals and their application in enhancing product development processes.

Upon successful completion of AI+ Product Manager certification, participants grasp AI's product management role, covering fundamentals, machine learning, ethics, integration, performance, regulation, and trends. Graduates excel in AI-driven product development, from ideation to deployment, ensuring ethics and compliance. The course focuses on strategic AI planning, enabling innovation in a dynamic tech landscape. Mastery equips managers to lead AI-driven initiatives, bolstering market competitiveness and proactive product strategies.

Prerequisites

• Understanding the basics of digital technologies and their influence on various aspects of professional life

• Interest in learning about the integration of AI technologies within product development

• Participants should have an open mindset towards learning new concepts and technological developments.

Exams

• Number of Questions: 50

• Passing Score: 35/50 or 70%

• Duration: 90 Minutes

• Format: Online via AI Proctoring platform

• Question Type: Multiple Choice/Multiple Respons

Exam Overview: 

• Introduction to Artificial Intelligence(AI) for Product Managers - 11%

• Fundamentals of Machine Learning - 11%

• AI Product Development Lifecycle - 13%

• AI Ethics and Bias - 13%

• AI Implementation Strategies - 13%

• AI Metrics and Performance Evaluation - 13%

• AI Regulation and Compliance - 13%

• AI and Product Management - 13%