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Pearson

Redesigned Pearson’s Generative AI Foundations training and certification with wireframing, rebranding, and AI use case integration.

Use Case: Pearson – Generative AI
Problem Statement:

As AI skills became critical across industries, Pearson recognized a growing gap: employers were increasingly prioritizing candidates with Generative AI proficiency, yet formal training and certification options were limited. The challenge was to create a program that validated AI skills for a diverse audience—ranging from high school students to seasoned professionals—while meeting evolving industry standards.

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My Role & Contributions:

I collaborated with cross-functional teams to define the user experience for the Generative AI. This involved:

  • Wireframing the learning and testing journey to ensure intuitive navigation and accessibility across devices.

  • Rebranding key program materials to align with Pearson’s broader Critical Career Skills portfolio, ensuring visual consistency and market appeal.

  • Translating complex AI concepts into clear, user-friendly interface flows and content structures.

  • Partnering with stakeholders to integrate GenAI use cases, such as prompt engineering and ethical AI considerations, into the learner experience.


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Impact:

The redesigned program delivered a streamlined user journey from discovery to certification, positioning Pearson as a leader in AI skill verification. By combining user-centered design with business objectives, the initiative:

  • Enhanced learner engagement through accessible design and consistent branding.

  • Created a scalable, enterprise-ready product for delivery via Mindhub, Certiport centers, and Pearson’s online testing platform.

  • Supported Pearson’s goal to address the AI skills gap and reinforce its reputation as a leader in lifelong learning.







Introducing a Video on Generative AI


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