AI-enabled content development and curriculum design
RFP 92303 - Custom AI-enabled Content Development, Solicitation BPM059203 (BPM BPM059203), issued by University of Maryland Global Campus.
At a glance
University of Maryland Global Campus seeks a vendor to design, develop, and maintain AI-integrated learning content for workforce training and potentially credit-bearing programs. The work emphasizes modular, skill-based content supporting stackable credentials and multiple learning pathways, with AI integration throughout the development lifecycle and learner experience.
Key facts
- Issuing agency
- University of Maryland Global Campus
- Solicitation number
- BPM059203
- Type
- Public Notice
- Posted
- Oct 6, 2026
- Response deadline
- Nov 20, 2026, 10:00 AM EST
- Place of performance
- MD
- Official posting
- Documents, addenda and the procurement contact, free with an account.
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Official description
Public Notice. Agency solicitation #92303. Issued by University of Maryland Global Campus. Category: Curriculum based electronic learning aids. UMGC seeks to establish a partnership with a qualified vendor capable of designing, developing, delivering, and maintaining AI-enabled learning content and related services that support workforce-aligned education initiatives and, at UMGC's option, credit-bearing curriculum development. For the avoidance of doubt, Offerors are advised that short-form, workforce-related content is the primary focus of this RFP. However, UMGC may elect to have the selected vendor provide curriculum development in the credit-bearing space. A central requirement of this work is the integration of Artificial Intelligence (“AI”) across both the content development lifecycle and, where applicable, the learner experience. The University seeks to move beyond traditional course development models toward a more modular, flexible, and continuously improving approach to content. Learning assets must be structured around clearly defined skills and competencies, support multiple pathways through learning (including stackable credential pathways to relevant UMGC degrees), and enable deployment across a range of formats and use cases. Please read the directions in the RFP carefully for electronic submission of Technical and Price Proposals to Bid Locker. Agency posting: https://bidlocker.us/details/6564_Umgc_Solicitation_92303_Custom_Ai_Enabled_Content_Development
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- OpenDue Oct 16, 2026
- OpenDue Nov 20, 2026
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