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Graduate School USA

AI for Federal Grants Management Course

via Graduate School USA

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Overview

This half-day course teaches federal grants management professionals how to apply AI as a practical research and analysis tool across the grants lifecycle.

Participants will learn to use AI for pre-award review, compliance monitoring, risk assessment, and closeout activities — while maintaining compliance with 2 CFR 200 (Uniform Guidance) and safeguarding sensitive grant and recipient data. No prior AI experience is required.

Syllabus

Module 1: AI Fundamentals for Grants Professionals

  • How AI language models work and their application to grants management
  • Responsible AI use with grants data and recipient information
  • Protecting sensitive recipient data, proprietary information, and CUI
  • Recognizing AI hallucinations in regulatory and compliance contexts

Module 2: AI for Pre-Award and Award Processes

  • Using AI to analyze grant applications and budget narratives
  • Researching regulatory requirements and eligibility criteria with AI tools
  • AI-assisted risk assessment of applicants and proposed projects
  • Drafting terms and conditions and award documentation with AI support

Module 3: AI for Post-Award Monitoring and Closeout

  • Applying AI to financial and performance report analysis
  • Using AI for compliance monitoring against 2 CFR 200 requirements
  • Recipient risk assessment and site visit preparation with AI tools
  • Grants closeout review and audit resolution with AI assistance

Module 4: Hands-On Workshop

  • Participants apply AI tools to realistic grants management scenarios
  • Practice prompt engineering for grants-specific compliance and analysis queries
  • Cross-check AI outputs against 2 CFR 200 and agency grants policies
  • Group exercise: Using AI to prepare a grants monitoring risk assessment

Taught by

Bruce Gay, Steve Pesklo, Brian Simms, Clarissa J. Corbin, Natalya H. Bah, and Michiel Pruijssers

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