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Learn to maximize value of data & AI products being built by your organization.
This course introduces the key concepts and best practices to gather critical requirements about data & AI products upfront, determine appropriate quality based on usage patterns, and ensure continuous value to end users or systems over time.
Relevancy - How can we add immediate value with an AI product?
Quality - How can users rely on the quality of a product throughout its lifespan to make clear value-add decisions?
Speed - How can we reduce rework and get the product in front of the user faster?
An overview of the concepts and terminology of AI & Data Product Management and user-centric design.
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A deep dive into how to manage the strategic alignment and financial return on investment (impact) of data products.
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Tracking success metrics overtime after product go live and enabling continuous improvement.
Set expectations around quality requirements for the product.
Conduct user research to inform the design of a data or AI product.
Design feedback loops that expose necessary enhancements or product improvements
This enables our tailored training experience. We want to make sure each class is right for you, and that you will get the most value out of completing it.
We've created a simple form below to help you get the process started...
I felt like we hit our stride and were sharing organizational context and prior experiences alongside course concepts in a way that elevated the training. I really enjoyed our discussions.
