Empowering Product Managers
in the AI Era
Learn to Manage AI Products
"This was a great course content and delivery. Thanks for providing so much experience and knowledge in such condensed and organized presentation. Looking forward to more courses from you."
"Thank you for sharing the latest and greatest in AI product management! This class is a must for all who are working in the intersection of AI/ML, business and technology."
"Heartfelt thank you for being the instructor. It was impressive, inspiring and thorough class with guest lectures!"
"Thank you for such an insightful course. Very accessible and useful content ready to be applied. Looking forward to participating to your next classes."
"Thanks. It was a refreshing learning experience, providing holistic view of AI technology stack, building AI teams, innovative ways to run AI projects, etc. Thanks for the interactive discussions!!!!"
If you are on the product manager career path, you need to learn the AI strategy and tactics to align with the changes the AI era brought. However, where do you study AI product management?
Compared to the vast amount of technical deep learning and machine learning courses, there is a lack of educational programs offering business-oriented AI techniques for product managers. We are happy to introduce the AI Solution Product Management course.
AI Solution Product Management course (AISPM)
The rise of AI did not just redefine the way we program the computers but also the way we formulate business processes. Today, companies are relentlessly looking for a new breed of product managers who are fit for this change and can utilize AI to deliver unprecedented customer value.
If you want to become one of these highly demanded leaders, then start your AI Solution Product Management course now and earn your AISPM certificate!
designed around your work schedule
About the Instructor
AISPM course is taught by Adnan Boz. Adnan has been delivering products in the software industry for 27 years, with nine years alone in the field of artificial intelligence.
During his AI product leadership roles at Yahoo, eBay, NVIDIA, and his last two startups, he has witnessed the gap between business, engineering, and science first-hand. Working on pain points of customers, teams, and organizations were tremendous opportunities for him to learn the do's and don'ts of AI solution development.
He is now committed to sharing these extensive learnings with product managers and leaders to help them bridge the gap between business, engineering, and AI science through the adoption of AI leadership techniques and corporate AI strategies. For in-class experience, please join his course at Stanford Continuing Studies.
Current and past accomplishments include: