Mega HOPEX , Advanced - Level 2 Curriculum

Mega HOPEX , Advanced - Level 2 Curriculum

 

Total Duration : 50 hours

25-days curriculum (2 hours/day) for Mega, Platform Level 2 Program

MEGA HOPEX Enterprise Architect Level 2 Program

(25 Days | 2 Hours/Day | Aligned with Gartner EA & Gartner GRC Use Cases)

Week 1: Advanced Metamodel Engineering

Day 1: Custom Schema Design
  • JSON-based metamodel extensions
  • Cross-perspective linking (Business ↔ IT ↔ Risk)
    • Lab: Build a healthcare regulatory compliance model (inspired by UMCG)
Day 2: AI-Driven Automation
  • Generative APM for application discovery
  • Eracent ITMC for auto-inventory
    • Lab: Import SAP ECC/S4 landscape via AI-driven discovery
Day 3: Relationship Weighting
  • Risk-weighted dependency scoring
  • Circular reference detection
    • Activity: Map fintech microservice dependencies
Day 4: Dynamic Data Governance
  • GDPR-compliant data masking rules
  • Attribute-level access controls
    • Lab: Configure PII protection for retail customer data
Day 5: Industry Template Development
  • Custom capability/process libraries
    • Exercise: Create manufacturing value chain template

Week 2: Ecosystem Integrations

Day 6: ServiceNow CMDB Sync
  • Bidirectional CI synchronization
  • Reconciliation conflict resolution
    • Lab: Sync 1,000+ CIs with criticality tags
Day 7: PowerBI Advanced Analytics
  • DirectQuery to HOPEX graph DB
  • Real-time risk dashboards
    • Activity: Build SaaS spend optimization dashboard
Day 8: SAP Signavio Integration
  • Process-to-application heatmaps
  • Transformation gap analysis
    • Lab: Order-to-cash process alignment
Day 9: Jira Cloud Automation
  • Strategic initiatives ↔ Epics mapping
    • Exercise: Convert tech debt to Jira tickets
Day 10: Salesforce CRM Alignment
  • Opportunity ↔ Capability traceability
    • Lab: Pharma sales process integration

Week 3: Risk & Compliance Mastery

Day 11: Monte Carlo Risk Modeling
  • Dynamic heatmap generation
  • Failure probability analysis
    • Lab: Cloud migration risk simulation
Day 12: Integrated GRC Workflows
  • SOX/GDPR control libraries
  • Audit evidence automation
    • Activity: Configure audit trails for SAP roles
Day 13: Third-Party Risk
  • Vendor criticality scoring
  • Contract compliance tracking
    • Lab: ERP vendor risk assessment
Day 14: Business Continuity Planning
  • RTO/RPO modeling
  • Disaster recovery workflows
    • Exercise: SAP DR drill simulation
Day 15: License Optimization
  • SAP Named User reconciliation
  • True-up forecasting
    • Lab: Microsoft 365 license audit

Week 4: Transformation Leadership

Day 16: M&A Simulation Toolkit
  • Duplicate system consolidation
  • Integration cost modeling
    • Lab: Post-merger retail IT rationalization
Day 17: Sustainability Architecture
  • Carbon accounting models (Scope 1-3)
    • Activity: Data center energy optimization
Day 18: Cloud Economics
  • TCO scenario modeling (AWS vs Azure)
    • Lab: Reserved instance planning
Day 19: AI/ML Governance
  • Ethical AI checklists
  • Model inventory management
    • Exercise: Computer vision pipeline audit
Day 20: Value Stream Design
  • Customer journey mapping
    • Lab: Insurance claims process redesign

Week 5: Certification & Capstone

Day 21: Workshop Facilitation
  • Live polling with HOPEX Surveys
    • Activity: Virtual architecture board review
Day 22: EA Metrics Framework
  • Health Index calculations
    • Lab: Build CXO dashboard
Day 23: Exam Preparation
  • HOPEX Expert (HXE-202) syllabus
  • 100-question mock test
Day 24: Capstone Project
  • End-to-end transformation design
  • Dependency impact simulation
Day 25: Final Review
  • Business case presentation
  • Continuous improvement planning

Commercial Offering

On request

Key MEGA HOPEX Differentiators

Feature
Advantage Over LeanIX
Integrated GRC
Native risk modeling + EA
AI/ML Automation
Generative APM for rapid discovery
Pre-built Content
40+ industry templates (NHS, UMCG)

Hands-On Labs

  1. Risk Simulation
    1. python# Sample risk scoring API call
      from hopex_risk import RiskEngine
      engine = RiskEngine()
      risk_score = engine.calculate(application_id='APP-123', scenario='Cloud Migration')
  1. Cloud TCO Analysis
    1. Scenario
      AWS
      Azure
      3-Year Cost
      $1.8M
      $2.1M
      Risk Reduction
      38%
      42%
  1. GDPR Workflow Automation
      • Auto-tag 500+ PII data fields
      • Configure breach notification rules

Alignment with Standards

  • TOGAF: Phases B-D (Business/Data/Technology Architecture)
  • COBIT 2019: Integrated risk management
  • NIST CSF: Cybersecurity controls