Learn a flexible framework to identify where current AI capabilities can best serve your team’s needs, and what tasks still require a human behind the wheel.
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Learn a framework for evaluating LLMs in the context of user research analysis, and practice running an LLM-enabled analysis yourself.
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Learn methods for user testing AI products and features, enabling you to contribute throughout the AI product development process.
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Learn about AI data privacy risks, and how to get started with safer alternatives, such as commercial API keys and locally run AI models.
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Learn how to conduct a new kind of usability test–one for AI agents, rather than human users.
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Learn what’s new and notable in AI, and work through its applications (and implications) for product research workflows.
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