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AI Solution Leadership Lab

AI Solution Leadership Lab

Designed for managers and leaders who need to turn business opportunities into responsible, scalable AI-powered solutions. By the end, participants will be able to select high-value use cases, design and build AI workflows and agents with modern tools, evaluate performance and risk, and lead successful deployment and adoption.

5.000,00 LE
5000.0 EGP 5.000,00 LE
5.000,00 LE
In den Warenkorb
Verantwortlich Rehaf Foula
Letzte Aktualisierung 18.10.2026
Mitglieder 1
IT & related technologies
  • 1. AI Leadership Context
    1Lektionen ·
    • 1.1 Welcome
      Neu
  • 2. Opportunity Discovery
    5Lektionen ·
    • 2.1 AI Opportunity Signals
      Neu
    • 2.2 Workflow Friction Mapping
      Neu
    • 2.3 Value Pool Prioritization
      Neu
    • 2.5 Strategic Use Case Patterns
      Neu
    • 2.6 Executive Problem Briefs
      Neu
  • 3. Solution Architecture
    7Lektionen ·
    • 3.1 AI Solution Building Blocks
      Neu
    • 3.2 Model Capability Mapping
      Neu
    • 3.3 Data And Context Design
      Neu
    • 3.4 Tool And Agent Boundaries
      Neu
    • 3.5 Human Control Points
      Neu
    • 3.6 Architecture Tradeoff Review
      Neu
    • 3.7 Design A Solution Blueprint
      Neu
  • 4. Models And Tools
    9Lektionen ·
    • 4.1 Foundation Model Landscape
      Neu
    • 4.2 Model Selection Criteria
      Neu
    • 4.3 Prompt System Design
      Neu
    • 4.4 Structured Output Controls
      Neu
    • 4.5 Tool Calling Patterns
      Neu
    • 4.7 Agent Framework Choices
      Neu
    • 4.8 Automation Platform Options
      Neu
    • 4.9 Cost Latency Decisions
      Neu
    • 4.10 Select A Production Stack
      Neu
  • 5. Data And Knowledge
    8Lektionen ·
    • 5.1 Enterprise Data Readiness
      Neu
    • 5.2 Knowledge Source Inventory
      Neu
    • 5.3 Data Quality Diagnostics
      Neu
    • 5.4 Document Processing Flows
      Neu
    • 5.5 Retrieval Augmentation Design
      Neu
    • 5.6 Embedding And Index Choices
      Neu
    • 5.7 Knowledge Access Permissions
      Neu
    • 5.8 Data Lineage For AI
      Neu
  • 6. Prototype To Product
    10Lektionen ·
    • 6.1 Prototype Success Criteria
      Neu
    • 6.2 Rapid Experiment Design
      Neu
    • 6.3 Prompt And Workflow Tests
      Neu
    • 6.4 Evaluation Dataset Construction
      Neu
    • 6.5 Quality Metric Selection
      Neu
    • 6.6 Human Review Protocols
      Neu
    • 6.8 Prototype Demonstration Design
      Neu
    • 6.9 Pilot Backlog Planning
      Neu
    • 6.10 Product Requirements For AI
      Neu
    • 6.11 Build A Validated Prototype
      Neu
  • 7. AI Governance
    8Lektionen ·
    • 7.1 Governance Operating Principles
      Neu
    • 7.2 Risk Classification Methods
      Neu
    • 7.3 Privacy And Security Controls
      Neu
    • 7.4 Responsible Use Standards
      Neu
    • 7.5 Model And Vendor Due Diligence
      Neu
    • 7.6 Approval Workflow Design
      Neu
    • 7.7 Incident Response For AI
      Neu
    • 7.8 Create A Governance Playbook
      Neu
  • 8. Production Operations
    9Lektionen ·
    • 8.1 Production Readiness Gates
      Neu
    • 8.2 Deployment Architecture Choices
      Neu
    • 8.3 Observability For AI Systems
      Neu
    • 8.4 Monitoring Quality Drift
      Neu
    • 8.5 Cost And Capacity Management
      Neu
    • 8.7 Release And Rollback Controls
      Neu
    • 8.8 Model Lifecycle Management
      Neu
    • 8.9 Service Ownership Models
      Neu
    • 8.10 Production Launch Review
      Neu
  • 9. AI Risk Decisions
    6Lektionen ·
    • 9.1 Bias And Fairness Signals
      Neu
    • 9.2 Reliability And Hallucination
      Neu
    • 9.3 Explainability Requirements
      Neu
    • 9.4 Adversarial Threat Scenarios
      Neu
    • 9.5 Risk Acceptance Decisions
      Neu
    • 9.6 Escalation And Remediation
      Neu
  • 10. Adoption And Change
    5Lektionen ·
    • 10.1 AI Adoption Readiness
      Neu
    • 10.2 Stakeholder Impact Mapping
      Neu
    • 10.3 Role Redesign Conversations
      Neu
    • 10.5 Enablement And Training Plans
      Neu
    • 10.6 Trust And Communication Metrics
      Neu
  • 11. Portfolio And Scale
    10Lektionen ·
    • 11.1 AI Portfolio Strategy
      Neu
    • 11.2 Investment Sequencing Models
      Neu
    • 11.3 Platform Versus Product
      Neu
    • 11.4 Operating Model Options
      Neu
    • 11.5 Capability And Talent Planning
      Neu
    • 11.6 Partner Ecosystem Design
      Neu
    • 11.7 Benefits Realization Systems
      Neu
    • 11.8 Scaling Pattern Selection
      Neu
    • 11.9 Executive Decision Forums
      Neu
    • 11.10 Build A Scale Roadmap
      Neu
  • 12. Executive Capstone
    1Lektionen ·
    • 12.1 Key Takeaways
      Neu