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AI Training Program Outline

Comprehensive training curriculum with 5 tiers: All Employees (awareness), Managers, AI Project Teams, Executives/Board, and AI Practitioners. Includes module outlines, learning objectives, time estimates, delivery formats, implementation roadmap, and success metrics

General

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Key Insights

Effective AI governance requires more than policies—it requires people who understand AI risks and responsibilities. From frontline employees using AI tools to executives making AI investment decisions, everyone needs appropriate training. But one-size-fits-all doesn't work; a data scientist needs different training than an HR manager.

This training program outline provides a tiered curriculum addressing five distinct audiences: All Employees (AI awareness), Managers (team guidance), AI Project Teams (hands-on governance), Executives & Board (strategic oversight), and AI Practitioners (technical depth). It includes learning objectives, module structures, implementation timeline, and success metrics.

Overview

Your AI policy is only as effective as your people's understanding of it. Employees who don't know what AI tools are approved will use whatever they find. Managers who can't evaluate AI risks will approve projects without proper review. Executives who don't understand AI capabilities will make uninformed investment decisions.

This training program outline provides a complete curriculum structure for AI literacy and responsible AI practices. It's designed for practical implementation—with specific learning objectives, timed modules, and a realistic rollout plan.

What's Inside

Tier 1: AI Awareness (All Employees)

  • Duration: 30-45 minutes | Frequency: Annual + onboarding
  • Learning objectives: Understand AI basics, know company policies, recognize approved tools, protect sensitive data, report concerns
  • Modules: What is AI? (10 min), Our AI Policy (10 min), Protecting Data (10 min), Approved Tools (5 min), Assessment (10 min)

Tier 2: AI for Managers

  • Duration: 2-3 hours | Frequency: Annual
  • Learning objectives: Evaluate AI opportunities, guide team members, navigate approval processes, monitor usage, make AI-aware decisions
  • Modules: AI Landscape (30 min), Identifying Opportunities (30 min), AI Risks (30 min), Governance Process (20 min), Leading Teams (30 min)

Tier 3: AI Project Teams

  • Duration: 1-2 days | Frequency: Per project + annual
  • Core modules: Project Intake, Risk Assessment, Ethics Review, Vendor Due Diligence, Documentation, Monitoring
  • Role-specific tracks: Business Analyst, Technical, Legal/Compliance, Project Manager

Tier 4: Executive & Board

  • Duration: 1-2 hours | Frequency: Quarterly briefings
  • Topics: AI Strategy, Regulatory Trends, Board Fiduciary Duties, Risk Oversight, Questions to Ask, Peer Benchmarking

Tier 5: AI Practitioners

  • Duration: Ongoing | Frequency: Continuous learning
  • Technical depth on responsible AI development, model validation, bias testing, security

Implementation Roadmap:

  • Months 1-2: Develop Tier 1, pilot with 1-2 departments
  • Months 3-4: Launch Tier 1 company-wide, develop Tier 2
  • Months 5-6: Launch Tier 2, develop Tiers 3 & 4
  • Month 7+: Full program operational, quarterly updates

Success Metrics:

  • Completion rate (target 95%+ for Tier 1)
  • Assessment scores (average ≥85%)
  • Policy compliance improvement
  • Employee confidence surveys
  • Incident reduction

Who This Is For

  • Chief AI Officers building AI literacy programs
  • HR/Learning & Development implementing training
  • Compliance Officers ensuring policy understanding
  • Managers preparing team training
  • Training Developers creating AI curriculum

Why This Resource

Building training curriculum from scratch takes months of instructional design work. This outline provides the structure, learning objectives, and timing—ready for content development. The tiered approach ensures everyone gets appropriate training without overwhelming non-technical staff or underwhelming practitioners.

The implementation roadmap provides a realistic 7-month rollout plan, not an idealistic "train everyone tomorrow" approach.

FAQ

Q: How do we develop the actual training content?

A: This outline provides structure and objectives; content development uses your policies, tools, and examples. Consider internal development for customization, LMS vendors for delivery, or consultants for specialized content.

Q: What about compliance with training requirements?

A: The program structure supports compliance tracking: completion rates, assessment scores, and certification. Tier 1 annual refresh and new-hire onboarding address ongoing requirements.

Q: How do we handle resistance to mandatory training?

A: The tiered approach minimizes burden—Tier 1 is only 30-45 minutes. Executive sponsorship, relevant examples, and connecting training to job success improve engagement.

What's Inside

Tier 1: AI Awareness (All Employees)

  • Duration: 30-45 minutes | Frequency: Annual + onboarding
  • Learning objectives: Understand AI basics, know company policies, recognize approved tools, protect sensitive data, report concerns
  • Modules: What is AI? (10 min), Our AI Policy (10 min), Protecting Data (10 min), Approved Tools (5 min), Assessment (10 min)

Tier 2: AI for Managers

  • Duration: 2-3 hours | Frequency: Annual
  • Learning objectives: Evaluate AI opportunities, guide team members, navigate approval processes, monitor usage, make AI-aware decisions
  • Modules: AI Landscape (30 min), Identifying Opportunities (30 min), AI Risks (30 min), Governance Process (20 min), Leading Teams (30 min)

Tier 3: AI Project Teams

  • Duration: 1-2 days | Frequency: Per project + annual
  • Core modules: Project Intake, Risk Assessment, Ethics Review, Vendor Due Diligence, Documentation, Monitoring
  • Role-specific tracks: Business Analyst, Technical, Legal/Compliance, Project Manager

Tier 4: Executive & Board

  • Duration: 1-2 hours | Frequency: Quarterly briefings
  • Topics: AI Strategy, Regulatory Trends, Board Fiduciary Duties, Risk Oversight, Questions to Ask, Peer Benchmarking

Tier 5: AI Practitioners

  • Duration: Ongoing | Frequency: Continuous learning
  • Technical depth on responsible AI development, model validation, bias testing, security

Implementation Roadmap:

  • Months 1-2: Develop Tier 1, pilot with 1-2 departments
  • Months 3-4: Launch Tier 1 company-wide, develop Tier 2
  • Months 5-6: Launch Tier 2, develop Tiers 3 & 4
  • Month 7+: Full program operational, quarterly updates

Success Metrics:

  • Completion rate (target 95%+ for Tier 1)
  • Assessment scores (average ≥85%)
  • Policy compliance improvement
  • Employee confidence surveys
  • Incident reduction

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