LEARNING OBJECTIVES:

By the end of this course, participants will be able to:
Understand the fundamentals of AI and its applications in product development. Identify opportunities to integrate AI into product discovery.
Utilize AI tools to enhance common product management practices, such as:

Vision Statement
Personas
Jobs To Be Done
Value Proposition
Value Metrics
Product Goal
Business Model
Feature List

TARGET AUDIENCE:

Entrepreneurs, Executives and Leaders who want to bring an AI-driven Product Development approach into their organizations Product Managers, Product Owners and Business Analysts who want to learn how to integrate AI into Product Management

Software Engineers, Data Scientists, Technical Professionals who want to learn how to integrate AI into the technical aspects of building and delivering products

Project Managers, Program Managers, Release Managers who want to learn how to integrate AI into building, tracking and executing on product roadmaps

Trainers, Coaches, Scrum Masters who want to help organizations learn, implement and continuously improve an AI driven approach to product development

PRE-REQUISITES:

Basic knowledge of product development processes  
Curiosity to learn how to integrate AI in product development  
Willingness to apply the techniques taught in class to the development of a real or imaginary product 
Completion of the Rezoomex Sampler Workshop is recommended before joining this class.

COURSE DURATION:

-When offered in-person, this course is generally delivered over 7 contact hours in one day

-When offered as a live virtual class, the course might be broken up into shorter sessions distributed over multiple days.

ASSESSMENT AND CERTIFICATION:

Certificate of Completion for participants who meet course requirements

RESOURCES AND READING MATERIALS:

-All students who complete the workshop will receive these resources...

-Recommended textbooks and articles    

-Access to AI tools for practical sessions    

-Online forums for peer interaction and support