Generative AI is transforming how businesses operate. According to a McKinsey survey, over 78% of organizations are implementing AI, making its impact undeniable. Netflix’s AI-driven recommendations feature is one such example. With companies leaning to develop AI-powered products, the AI product manager role is becoming increasingly critical.
Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.
This course covers the AI product manager’s role in managing product lifecycles with AI. You will learn about the AI process and how to balance traditional and AI skills, build the right team, and communicate with stakeholders. You will also explore common challenges and reasons for AI project failures. Next, you will learn about the AI product development stages and product management phases. You will also understand AI’s impact across industries and review real-world use cases, commercialization strategies, and future trends.
Throughout this short self-paced course, you will be presented with instructional guidance through videos followed by hands-on labs to practice what you learn. You will also complete a final project to showcase your AI product manager skills.
This course is part of the following programs:
What you'll learn
- Explain the roles of an AI product manager and the required skills to manage a product lifecycle, and explore their daily routine.
- Conduct a skills analysis, examine AI opportunities and challenges, and use AI tools in product development and market reach expansion.
- Describe the AI value proposition, methods for communicating with stakeholders, the AI process, stages of AI product development, and the ROI of AI.
- Discuss AI integration into the product management lifecycle, AI’s impact and use cases, and strategies for commercializing AI products.
Syllabus
AI Methodology, Opportunities, and Challenges
This module explains the AI product manager’s role in managing the product lifecycle by leveraging AI technologies. You will learn about the AI process, the ROI that AI brings to a project, and how a product manager balances traditional product management skills with AI-specific knowledge. You will learn how a product manager builds the AI “Dream Team” and communicates AI to stakeholders. In addition, you will look at the challenges faced by a product manager and the reasons for the failure of AI product development projects.
Integrating AI into the Product Management Lifecycle
In this module, you will learn about the stages of AI product development and the key activities in each stage. You will also learn about the seven phases of the product management lifecycle. In addition, you will get to know about AI’s impact across industries and some AI use cases where AI was used to achieve product goals and objectives. You will also learn about commercialization activities for an AI product and the current trends and future insights in AI.
Final Submission and Evaluation
In this module, you will complete a final project where you will review a product concept document proposing the development of an AI-driven system that will monitor and improve traffic flow in a large city and provide a return on investment (ROI). In addition, you will attempt a final graded exam designed to evaluate your understanding of developing and delivering a product.
