Module #1 Introduction to Digital Asset Management Overview of Digital Asset Management, its importance, and benefits in organizations.
Module #2 What is Metadata? Definition, types, and importance of metadata in Digital Asset Management.
Module #3 Types of Metadata Descriptive, structural, and administrative metadata explained with examples.
Module #4 Taxonomy Fundamentals Introduction to taxonomy, its importance in DAM, and how it differs from metadata.
Module #5 Understanding Controlled Vocabularies Controlled vocabularies, thesauri, and ontologies explained with examples.
Module #6 Creating a Taxonomy Framework Best practices for designing and implementing a taxonomy framework in DAM.
Module #7 Metadata Standards and Schemas Overview of metadata standards (e.g., Dublin Core, IPTC) and schemas (e.g., RDF, XML).
Module #8 XPath and XQuery for Metadata Introduction to XPath and XQuery for querying and manipulating metadata.
Module #9 Automating Metadata Creation Methods for automating metadata creation, including AI-powered tools and workflows.
Module #10 Manual Metadata Entry and Editing Best practices for manual metadata entry and editing, including data validation and quality control.
Module #11 Metadata Quality and Governance Importance of metadata quality, governance policies, and maintenance strategies.
Module #12 Taxonomy Implementation in DAM Systems Case studies and best practices for implementing taxonomy in popular DAM systems (e.g., Adobe Experience Manager, OpenText).
Module #13 Customizing DAM Systems for Taxonomy Customization options and strategies for adapting DAM systems to accommodate unique taxonomy requirements.
Module #14 Metadata Search and Filtering Configuring search and filtering options in DAM systems to leverage metadata and taxonomy.
Module #15 Content Enrichment and Normalization Strategies for enriching and normalizing metadata and taxonomy across different systems and formats.
Module #16 Metadata Migration and Integration Best practices for migrating and integrating metadata between different systems and formats.
Module #17 Taxonomy and Metadata Analytics Using analytics to measure the effectiveness of taxonomy and metadata in DAM systems.
Module #18 Metadata and Taxonomy in Specific Industries Industry-specific use cases and challenges for metadata and taxonomy in DAM (e.g., media and entertainment, e-commerce).
Module #19 metadata and Taxonomy for Artificial Intelligence and Machine Learning The role of metadata and taxonomy in enabling AI and ML applications in DAM.
Module #20 Taxonomy and Metadata Security and Access Control Securing metadata and taxonomy in DAM systems, including access control and permissioning.
Module #21 Metadata and Taxonomy for Cloud-Based DAM Challenges and opportunities for metadata and taxonomy in cloud-based DAM systems.
Module #22 Taxonomy and Metadata for Hybrid DAM Environments Managing metadata and taxonomy across on-premises and cloud-based DAM systems.
Module #23 Best Practices for Metadata and Taxonomy Maintenance Strategies for ongoing metadata and taxonomy maintenance, including updates, backups, and disaster recovery.
Module #24 Case Studies in Metadata and Taxonomy Implementation Real-world examples of successful metadata and taxonomy implementations in diverse industries.
Module #25 Course Wrap-Up & Conclusion Planning next steps in Metadata and Taxonomy in Digital Asset Management career
