Course Outline
Module 1: Introduction to AI and Digital Museum Workflows
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Understanding digital transformation in museums
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The role of AI in cultural institutions.
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Realistic and practical use cases for museums;
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Understanding generative AI capabilities and limitations;
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Human oversight and responsible usage principles;
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Mapping museum workflows and information flows.
Practical Exercises
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Identifying repetitive content tasks;
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Mapping current departmental workflows;
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Group discussion on operational bottlenecks and opportunities.
Benefits for Participants
Participants develop a common understanding of how AI and cloud workflows can support different departments without replacing institutional expertise.
Module 2: Cloud Collaboration and Digital Work Environment
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Organising digital workspaces and shared repositories;
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Folder structures and naming conventions;
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Version control and collaborative editing;
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Shared documents and spreadsheet workflows;
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Managing project, exhibition and archive materials;
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Access rights and permission structures;
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Traceability and content reuse.
Practical Exercises
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Building a museum project folder structure;
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Creating collaborative workflows for exhibition preparation.
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Organising shared archive materials.
Benefits for Participants
Technical staff improve governance and access control, while operational teams gain more efficient collaboration and content traceability.
Module 3: Structuring Museum Information and Metadata
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Preparing content for digital catalogues and public platforms;
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Structuring artwork information and artist records;
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Converting technical information into readable descriptions;
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Creating keywords, summaries and thematic descriptions;
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Metadata consistency and searchability;
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Building reusable content standards.
Practical Exercises
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Transforming archive notes into structured entries;
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Creating thematic tags and searchable descriptions;
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Building reusable templates for museum records.
Benefits for Participants
Collection managers, archivists and curators gain practical methods for improving discoverability, consistency and usability of museum information.
Module 4: Using AI for Content Creation, Editing and Translation
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Fundamentals of prompting and AI interaction;
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Creating effective prompts for museum use cases;
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AI-assisted editing and summarisation;
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AI-supported translation and multilingual adaptation;
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Extracting themes, highlights and contextual information;
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Generating alternative text versions;
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Verifying and correcting AI-generated outputs;
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Understanding hallucinations and factual risks.
Practical Exercises
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Writing prompts for artwork descriptions;
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Creating exhibition summaries;
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Translating museum content into multiple languages;
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Comparing human-written and AI-assisted outputs;
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Editing and validating generated content.
Benefits for Participants
Public engagement teams, educators and project coordinators improve productivity while maintaining institutional accuracy and tone.
Module 5: Working with Images and Visual Content
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Preparing image descriptions and supporting text;
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Connecting visual materials with metadata;
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Writing accessible and contextual visual descriptions;
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Organising image archives and supporting assets;
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AI support for visual categorisation and content preparation;
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Public presentation considerations.
Practical Exercises
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Creating exhibition image captions;
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Structuring visual archive entries;
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Building content packages for online exhibitions.
Benefits for Participants
Designers, curators and communication staff improve the quality and consistency of visual presentation across exhibitions and digital channels.
Module 6: AI Governance, Security and Ethical Use
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What information should not be entered into public AI systems;
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Personal data protection and confidentiality;
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Copyright and ownership considerations;
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Verification and source reliability;
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Risks associated with inaccurate AI outputs;
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Responsible use of AI in public cultural institutions;
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Internal governance and approval processes.
Practical Exercises
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Identifying risky AI usage scenarios;
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Reviewing examples of inaccurate outputs;
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Developing internal AI usage guidelines.
Benefits for Participants
Management and operational teams gain a shared framework for safe, compliant and responsible AI adoption.
Module 7: Museum Role-Based Practical Workshop
Participants work on practical museum scenarios tailored to their professional roles.
Example activities may include:
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Artwork descriptions and artist references;
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Structuring digital dossiers;
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Building archive folders and content repositories;
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Preparing educational and exhibition materials;
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Organising project documentation;
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Creating website and catalogue content;
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Designing content review and approval workflows.
Workshop Structure
Participants work individually and in cross-functional groups to simulate real museum collaboration.
Final Deliverables
Each participant or team prepares:
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A practical museum content workflow;
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Sample structured content outputs;
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A short implementation plan for post-training adoption.
Assessment and Certification
Assessment methods may include:
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Pre-course self-assessment;
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Continuous observation during exercises;
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Participation in practical workshops;
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Final role-based practical assignment;
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Mini-portfolio or workflow demonstration;
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Short knowledge verification questionnaire.
Participants who successfully complete the training will receive a Certificate of Completion.
Requirements
Participants should have:
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Basic computer literacy;
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Access to a computer with internet connection;
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Access to shared cloud collaboration tools used by the institution;
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Permission to work with selected sample museum materials during exercises.
- Participants should have licenses to AI tools depending on what they use
No prior AI experience is required.
Audience
This course is designed for mixed-role museum teams and cultural institutions, including:
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Museum directors and deputy directors;
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Collection managers and archivists;
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Curators and documentation specialists;
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Museum educators and librarians;
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Exhibition and gallery staff;
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Public engagement, communications and tourism teams;
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Digitisation and information management personnel;
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Technical and administrative support staff;
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Cultural project coordinators.
The course is suitable for participants with mixed levels of digital experience.
Testimonials (2)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
