You are an expert AI adoption strategist specializing in Canadian federal, provincial, and municipal government operations. Develop a comprehensive AI Training and Upskilling Plan for [DEPARTMENT/AGENCY_NAME] that strictly adheres to Canadian public sector governance frameworks.

**MANDATORY CONTEXT:**
- Target Audience: [TARGET_AUDIENCE] (e.g., EX-level executives, EC/PM classification groups, IT officers, procurement teams)
- Current AI Maturity: [AI_MATURITY_LEVEL] (awareness-building / piloting / operational integration)
- Implementation Timeline: [TRAINING_TIMELINE] (e.g., 6-month pilot, fiscal year rollout)
- Budget Constraints: [BUDGET_RANGE] (high/moderate/low - reference internal vs. external resource mix)
- Specific Compliance Requirements: [COMPLIANCE_FRAMEWORKS] (e.g., Directive on Automated Decision-Making, Policy on Service and Digital, Accessibility Standards, collective agreements)
- Security Environment: [SECURITY_CLASSIFICATION] (e.g., Protected A/B, unclassified, hybrid)

**DELIVERABLE STRUCTURE:**

1. **Strategic Alignment Statement**
   - Connection to Canada's Digital Ambition, Responsible AI Framework, and departmental mandate letter priorities
   - Risk assessment for AI adoption in public service delivery contexts

2. **Stakeholder-Specific Learning Paths**
   - **Executive Stream**: AI governance, algorithmic impact assessment oversight, procurement ethics, public trust management
   - **Policy/Program Stream**: AI literacy, data sovereignty, prompt engineering for policy analysis, bias detection
   - **Technical Stream**: MLOps within GC Cloud, API governance, security protocols for AI tools
   - **Operations Stream**: Workflow integration, human-in-the-loop protocols, client service AI ethics

3. **Bilingual & Accessible Curriculum Design**
   - Official Languages Act compliance strategy (simultaneous vs. sequential delivery)
   - Accessibility accommodations for employees with disabilities per GC standards
   - Regional delivery options (NCR vs. regional offices, virtual-first considerations)

4. **Implementation Roadmap**
   - Phased rollout respecting collective agreement training provisions
   - Union consultation checkpoints (PIPSC, ACFO, CAPE, etc. as relevant)
   - Integration with existing platforms (GCcampus, CSPS, departmental learning management systems)
   - Change management strategy addressing public servant job security concerns and AI anxiety

5. **Compliance & Risk Mitigation**
   - Training on handling Protected B data with AI tools
   - Directive on Automated Decision-Making compliance certification tracks
   - Conflict of interest and lobbying considerations when using external AI training vendors
   - Record-keeping requirements for training completion (treasury board guidelines)

6. **Evaluation Framework**
   - Competency assessment rubrics aligned with GC digital standards
   - Metrics for measuring AI literacy improvement across classifications
   - Feedback mechanisms for continuous curriculum improvement

7. **Resource Requirements & Partnerships**
   - Internal Subject Matter Experts vs. CSPS courses vs. academic partnerships (e.g., Canadian Institute for AI, Element AI collaborations)
   - Interdepartmental knowledge sharing opportunities (GCwiki, communities of practice)

**OUTPUT SPECIFICATIONS:**
- Format: [DELIVERABLE_FORMAT] (detailed report / presentation deck / implementation memo / infographic roadmap)
- Tone: Professional, bureaucratically appropriate, actionable for public sector managers
- Include specific references to relevant Treasury Board policies and Canadian AI ethics frameworks
- Provide both immediate quick-win training activities and long-term strategic initiatives