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Graduate School USA

AI for Federal HR Bootcamp

via Graduate School USA

Overview

This bootcamp prepares human resources professionals to use artificial intelligence confidently and responsibly across the full range of federal HR work. Through five integrated courses, participants build a shared foundation in how AI works, what it can and cannot reliably do, and how to apply human judgment to ensure fairness, accuracy, and compliance. The program moves from core AI concepts and federal AI-use policy through hands-on application in position classification, talent acquisition and development, employee relations, employee benefits, and retirement planning.

Throughout the bootcamp, participants engage in hands-on, scenario-based exercises that emphasize crafting effective, PII-free prompts and verifying every AI output against authoritative federal sources such as OPM, TSP, SSA, and Medicare. The program grounds AI practice in the policies that govern responsible federal use, the ethical and privacy safeguards that protect employees and agencies, and the practical workflows that improve efficiency without compromising regulatory standards. By the end of the bootcamp, participants are prepared to integrate AI into federal HR practice transparently, collaboratively, and in full compliance with applicable guidance.

Syllabus

AI for Federal HR Course

  • Summarize key terminology in artificial intelligence (AI).
  • Explain the architecture of AI systems.
  • Identify HR challenges with AI ethical and legal standards.
  • Demonstrate how AI can be used in HR operations.
  • Ensure compliance with OPM rules and regulations.

AI for Federal HR Classification Course

  • Define artificial intelligence and its key concepts relevant to federal HR and position classification.
  • Explain how AI tools can be used across sectors for position classification and job analysis.
  • Identify legal, ethical, and policy considerations in applying AI to HR processes.
  • Demonstrate how to use AI-assisted tools to develop and analyze position descriptions and suggest occupational series/grades.
  • Apply AI-generated insights to improve accuracy and consistency in classification decisions.
  • Evaluate AI outputs to ensure compliance with OPM standards.
  • Develop an action plan for integrating AI solutions into classification workflows.
  • Analyze real-world scenarios to develop corrective actions and preventive measures that improve ongoing compliance.

AI for Federal Employee Benefits

  • Explain what AI, machine learning, and large language models are in plain, non-technical terms.
  • Apply federal policy and agency guidance for responsible, PII-safe AI use to everyday benefits research.
  • Use AI tools to research and compare FEHB, FEDVIP, FEGLI, FSAFEDS, and FLTCIP options.
  • Evaluate AI-generated benefits information for accuracy, completeness, and appropriate limitations.
  • Verify AI outputs against authoritative sources such as OPM.gov, plan brochures, BENEFEDS, and FSAFEDS.gov.
  • Construct effective, PII-free prompts for common benefits questions and decision scenarios.
  • Recognize when AI research should be supplemented by an Agency Benefits Officer or HR specialist.
  • Develop a personal, AI-assisted action plan for managing your federal benefits.

AI for Federal Employee Retirement

  • Explain what AI, machine learning, and large language models are in plain, non-technical terms.
  • Apply federal policy and agency guidance for responsible, PII-safe AI use to everyday retirement research.
  • Use AI tools to research FERS and CSRS eligibility, annuity computations, and optimum retirement dates.
  • Model TSP withdrawal options and coordinate Social Security and Medicare timing with AI assistance.
  • Evaluate AI-generated retirement information for accuracy, completeness, and appropriate limitations.
  • Verify AI outputs against authoritative sources, including OPM.gov, tsp.gov, SSA.gov, and Medicare.gov.
  • Construct effective, PII-free prompts for common retirement questions and decision scenarios.
  • Recognize when AI research should be supplemented by an Agency Benefits Officer, HR specialist, or licensed professional.
  • Develop a personal, AI-assisted retirement action plan.

AI for Federal Employee Relations Course

  • Distinguish ER work products from LR work products and identify appropriate AI use cases
  • Apply federal privacy, PII, and recordkeeping rules when using AI with ER materials
  • Use structured prompts to draft ER correspondence, including proposal letters, decision letters, PIPs, leave letters, and RA notes
  • Research MSPB precedent, EEOC decisions, OPM materials, and agency policy with AI-assisted workflows
  • Turn supervisor notes into specific, behavior-based performance and conduct documentation
  • Review AI-generated ER content for bias, hallucinations, due-process gaps, tone, and compliance risks

Reviews

4.7 rating at Graduate School USA based on 150 ratings

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