This course explores the fundamentals and advanced practices of Agile Product Life-cycle Management (APLM) in the Generative Artificial Intelligence (GAI) era. The first half of the course delves into Agile frameworks, their rules, roles, and applications in various product development life cycles, focusing on the evolving responsibilities of product owners (POs) in an AI-augmented environment. POs play a critical role in Agile product development, bridging the gap between product scope, customer needs, and business requirements within a dynamic and responsive framework enhanced by GAI. The latter half of the course emphasizes the AI-driven product development and delivery model, exploring how GAI transforms traditional APLM practices.

Learning Outcomes

At the conclusion of the course, you should be able to

• Better manage agile product development teams and customers
• Create AI-enhanced, value-driven product release road maps and delivery schedules
• Apply GAI-powered PBI prioritization for selecting the product’s minimal marketable features
• Support large projects with AI-assisted scaling of Agile practices

Topics Include

• PO roles and responsibilities in the age of GAI AI-augmented Product Delivery
• Ownership Integration of GAI in Agile PPM and Scrum PPM
• GAI applications in product backlog management and prioritization
• Value-driven product release roadmaps
• Schedules leveraging AI insights Scaling Agile practices with GAI support

Skills Needed:

Basic understanding of AI and machine learning concepts (recommended)