Our AISPM Courses
Designed to Help You Manage Any AI Product with Confidence
AI Solution Product Management course (AISPM)
"Viable AI product" is the keyword of this course because no matter how great the product is, without a sound strategy, it is nearly impossible for the company to achieve sustainable profitability. The proof is in the countless number of product failures in companies of any size. This harsh fact also applies to AI products. In this course, you will learn how to take an idea and turn it into a viable AI-driven product that customers love.
Course Objective
At the end of the course, you will possess the know-how to define data, AI platform, and AI infrastructure strategies, as well as how to build and lead AI teams comfortably. More importantly, you will learn how to ideate and validate the product before making any investment.
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Upon completion of the course and passing the final exam, you will receive your approved certificate, which you will be able to use when applying for your next product manager of AI product role.
Prerequisites
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Product Management training required
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No experience required
Course syllabus
✔︎ The need for AI Product Managers
✔︎ Business objectives in the AI era
✔︎ AI know-how for Product Managers
✔︎ Possible AI opportunities
✔︎ Building AI solution teams
✔︎ AI Product Manager responsibilities
✔︎ Agile AI Product Development Lifecycle & other methodologies
✔︎ Google Ventures’ Design Sprint
✔︎ AI business requirements and data analysis
✔︎ Researching AI solutions
✔︎ Rapid AI experimentation
✔︎ Building and releasing AI solutions
✔︎ Evaluating and experimenting
18 hours of study material in 13 lessons and 350+ slides
Learn to manage AI Products
end-to-end
About the Instructor
Adnan Boz
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.
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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.
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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.
Feel free to connect with Adnan on LinkedIn
Current and past accomplishments include:
