Professional Certification

Certified Digital Product Passport Implementer

Master end-to-end Digital Product Passport implementation including data modeling, product identity systems, data carriers, passport architecture, and enterprise data governance.

15-20 Hours
Intermediate Level
90% Passing Score

What You Will Learn

Data Modeling Fundamentals

Design robust data models for DPP systems, including entities, attributes, relationships, and normalization.

Canonical Data Models & CEDM

Implement canonical data models and the CEDM architecture for cross-system data exchange.

Product Identity Systems

Master GTIN architecture, serialization, UUIDs, GS1 Digital Link, and identifier resolution services.

Data Carriers & Architecture

Implement QR codes, NFC, RFID, and Data Matrix technologies for DPP data access.

Why This Certification Matters

As EU DPP regulations come into effect and global sustainability requirements expand, organizations need professionals who can implement end-to-end Digital Product Passport solutions. This certification provides the technical implementation knowledge required to build production-ready DPP systems.

Technical Implementation

Build production-ready DPP systems with proper data modeling, identity systems, and carrier technologies.

Data Architecture

Design scalable data architectures using canonical models, semantic interoperability, and governance frameworks.

Regulatory Compliance

Ensure DPP implementations meet EU DPP requirements and emerging global regulations.

Course Curriculum

Module 1: EU DPP UPPS Architecture

Learn the ESPR regulatory framework, DPP ecosystem components, and different architectural models for DPP implementation.

ESPR Architecture Overview
EU Digital Product Passport Ecosystem
Product Categories and Scope
DPP Actors and Stakeholders
Passport Providers and Services
UPPS Architecture Overview
Canonical ESG CEDM
Reference DPP Architectures

Module 2: Product Identity Systems

Master product identity systems including GTIN architecture, serialization, UUIDs, GS1 Digital Link, and identifier resolution services.

Introduction to Product Identity
GTIN Architecture
Serialization and Batch Tracking
UUIDs and Digital Identifiers
GS1 Digital Link
Identifier Resolution Services
Product Genealogy and Relationships
Identity Governance
Identity Security

Module 3: Data Carriers

Learn about QR codes, dynamic QR code architectures, GS1 Digital Link, NFC technologies, RFID systems, and Data Matrix technologies.

Introduction to Data Carriers
QR Code Fundamentals
Dynamic QR Code Architectures
GS1 Digital Link on Data Carriers
NFC Technologies
RFID Systems
Data Matrix Technologies
Carrier Selection Criteria
Carrier Security
Carrier Implementation Best Practices

Module 4: Passport Data Modeling

Design data models for DPP implementations including canonical models, product schemas, organization modeling, and supply chain relationships.

Fundamentals of Data Modeling
Canonical Data Models and CEDM
Product Objects and Product Schemas
Organization Objects and Actor Modeling
Supply Chain and Relationship Modeling
Evidence Objects and Verification Structures
Metadata Architecture and Searchability
Semantic Interoperability and Taxonomies
Schema Design and Version Management
Enterprise Data Governance for DPPs

Module 5: DPP Implementation

Learn end-to-end DPP implementation including architecture design, data integration, carrier deployment, and governance.

Implementation Planning
Architecture Design
Data Integration
Carrier Deployment
Testing and Validation
Launch and Monitoring
Maintenance and Evolution
Performance Optimization
Security Implementation
Compliance Management

Module 6: Advanced Data Modeling

Advanced topics in data modeling including complex hierarchies, transformation events, and data quality management.

Complex Product Hierarchies
Transformation Events
Data Quality Management
Data Lineage
Data Validation Strategies

Module 7: Semantic Interoperability

Deep dive into semantic interoperability including ontologies, RDF, OWL, SPARQL, and data harmonization.

Ontology Design
RDF and RDFS
OWL and Reasoning
SPARQL Queries
Data Harmonization
Cross-Platform Mapping

Module 8: Metadata Architecture

Design comprehensive metadata architectures for search, discovery, and data management.

Metadata Strategy
Search Optimization
Discoverability Design
Classification Systems
Metadata Governance

Module 9: Schema Evolution

Manage schema evolution including versioning, backward compatibility, migration strategies, and governance.

Versioning Strategies
Backward Compatibility
Migration Planning
Schema Governance
Deprecation Management

Module 10: Enterprise Governance

Establish enterprise data governance for DPP systems including ownership, stewardship, quality management, and lifecycle management.

Governance Framework
Data Ownership
Data Stewardship
Quality Management
Lifecycle Management
Access Governance
Security Governance
Change Management

Skills Earned

DPP data modeling and schema design
Canonical data model implementation
Product identity system design
Data carrier technology selection
Semantic interoperability implementation
Metadata architecture design
Enterprise data governance
Schema version management

Certification Outcomes

Upon completion, you will be able to:

  • Design data models for DPP implementations
  • Implement canonical data models and CEDM
  • Design product identity systems using GTIN and GS1 Digital Link
  • Select and implement appropriate data carrier technologies
  • Design metadata architectures for search and discovery
  • Implement semantic interoperability using taxonomies and ontologies
  • Establish enterprise data governance for DPP systems
  • Manage schema evolution and version control

Who should take this certification:

  • Technical architects and data engineers
  • Product and supply chain managers
  • DPP implementation teams
  • ESG technology professionals
  • Regulatory compliance officers
  • Systems integrators and consultants

Frequently Asked Questions

What is the format of the certification?

The certification consists of 10 modules with educational content and assessments. You can learn at your own pace, and the final assessment requires a 90% passing score to earn certification.

How long does it take to complete?

The certification is designed to be completed in approximately 15-20 hours, though you can take more time if needed. All content is self-paced.

Is there a time limit to complete the certification?

No, there is no time limit. You can access the content indefinitely and complete the certification at your own pace.

What are the prerequisites?

This is an intermediate-level certification. Completion of the CDPF certification or equivalent knowledge of DPP fundamentals is recommended.

Is the certification recognized by employers?

The CDPI certification demonstrates practical implementation expertise in digital product passport systems, which is increasingly valuable as EU DPP regulations come into effect.

Ready to Implement Digital Product Passports?

Join the community of professionals certified in end-to-end DPP implementation and data architecture.

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