Kurzusleírás
Module 1: Introduction to AI and Digital Museum Workflows
-
Understanding digital transformation in museums
-
The role of AI in cultural institutions.
-
Realistic and practical use cases for museums;
-
Understanding generative AI capabilities and limitations;
-
Human oversight and responsible usage principles;
-
Mapping museum workflows and information flows.
Practical Exercises
-
Identifying repetitive content tasks;
-
Mapping current departmental workflows;
-
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
-
Organising digital workspaces and shared repositories;
-
Folder structures and naming conventions;
-
Version control and collaborative editing;
-
Shared documents and spreadsheet workflows;
-
Managing project, exhibition and archive materials;
-
Access rights and permission structures;
-
Traceability and content reuse.
Practical Exercises
-
Building a museum project folder structure;
-
Creating collaborative workflows for exhibition preparation.
-
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
-
Preparing content for digital catalogues and public platforms;
-
Structuring artwork information and artist records;
-
Converting technical information into readable descriptions;
-
Creating keywords, summaries and thematic descriptions;
-
Metadata consistency and searchability;
-
Building reusable content standards.
Practical Exercises
-
Transforming archive notes into structured entries;
-
Creating thematic tags and searchable descriptions;
-
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
-
Fundamentals of prompting and AI interaction;
-
Creating effective prompts for museum use cases;
-
AI-assisted editing and summarisation;
-
AI-supported translation and multilingual adaptation;
-
Extracting themes, highlights and contextual information;
-
Generating alternative text versions;
-
Verifying and correcting AI-generated outputs;
-
Understanding hallucinations and factual risks.
Practical Exercises
-
Writing prompts for artwork descriptions;
-
Creating exhibition summaries;
-
Translating museum content into multiple languages;
-
Comparing human-written and AI-assisted outputs;
-
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
-
Preparing image descriptions and supporting text;
-
Connecting visual materials with metadata;
-
Writing accessible and contextual visual descriptions;
-
Organising image archives and supporting assets;
-
AI support for visual categorisation and content preparation;
-
Public presentation considerations.
Practical Exercises
-
Creating exhibition image captions;
-
Structuring visual archive entries;
-
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
-
What information should not be entered into public AI systems;
-
Personal data protection and confidentiality;
-
Copyright and ownership considerations;
-
Verification and source reliability;
-
Risks associated with inaccurate AI outputs;
-
Responsible use of AI in public cultural institutions;
-
Internal governance and approval processes.
Practical Exercises
-
Identifying risky AI usage scenarios;
-
Reviewing examples of inaccurate outputs;
-
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:
-
Artwork descriptions and artist references;
-
Structuring digital dossiers;
-
Building archive folders and content repositories;
-
Preparing educational and exhibition materials;
-
Organising project documentation;
-
Creating website and catalogue content;
-
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:
-
A practical museum content workflow;
-
Sample structured content outputs;
-
A short implementation plan for post-training adoption.
Assessment and Certification
Assessment methods may include:
-
Pre-course self-assessment;
-
Continuous observation during exercises;
-
Participation in practical workshops;
-
Final role-based practical assignment;
-
Mini-portfolio or workflow demonstration;
-
Short knowledge verification questionnaire.
Participants who successfully complete the training will receive a Certificate of Completion.
Követelmények
Participants should have:
-
Basic computer literacy;
-
Access to a computer with internet connection;
-
Access to shared cloud collaboration tools used by the institution;
-
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:
-
Museum directors and deputy directors;
-
Collection managers and archivists;
-
Curators and documentation specialists;
-
Museum educators and librarians;
-
Exhibition and gallery staff;
-
Public engagement, communications and tourism teams;
-
Digitisation and information management personnel;
-
Technical and administrative support staff;
-
Cultural project coordinators.
The course is suitable for participants with mixed levels of digital experience.
Vélemények (2)
Az oktató türelmes és nagyon segítőkész. Jól ismeri a témát.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Kurzus - Agentic AI for Business Automation: Use Cases & Integration
Gépi fordítás
Képes a közönség javaslataira gyorsan reagálni – például azonnal létrehozni egy valós AI-ügynök forgatókönyvet.
Brett McLaren - Zoll Itamar
Kurzus - ChatGPT for Productivity: A Beginner’s Guide
Gépi fordítás
