Despite the excitement around Artificial Intelligence, numerous stakeholders in AI product management struggle to grasp the practical applications of AI and its limitations. They may also lack insight into the complexities of scaling AI solutions from research to production, along with the optimal approaches for overseeing and executing AI projects.

Although there is a wealth of technical information available on AI, the complex nature of the field can make it daunting for those interested in harnessing AI capabilities.

If you are involved in building intelligent systems, no matter your job title, you can benefit from this AI Summer School edition in different ways: 

• You are an entrepreneur or business stakeholder, and you are struggling to tie together your ideas for a business with what is possible with AI today. 
• You are a product leader, and you would like to learn how to communicate a machine learning project’s value proposition in a language that resounds for executives and other leaders in order to gain buy-in.  
• You are a technical manager who wants to begin benefiting from AI in production, but you are lacking a framework for implementing the findings of your ML engineers.  
• You are an operations, delivery and product manager; and you need to learn how to swiftly launch an AI product.
• You are a ML engineer or student, and you need to understand how end-to-end AI software will interact with the models you produce.

• You are a ML instructor and you want to have a holistic view on end-to-end AI product management and integrate them in your course.
• You are a software engineer assigned to an AI project but lacking the right skills to contribute to it effectively.