Digital Archives and AI Records Management Course

Name: Digital Archives and AI Records Management Course
Availability: InStock

Use AI-assisted metadata, classification, and search while preserving archive integrity, access controls, and professional judgment.

At a glance

Duration: 5 days
Format: Classroom
Cities: Zanzibar, Istanbul, Vienna, Rome, Baku, Muscat and more
Next session: 11 – 15 October 2026, Zanzibar
Average fee: 5,800 €

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Digital Archives and AI Records Management Course

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Overview

The Digital Archives and AI Records Management Course is a five-day intermediate course for records officers, administrative teams, archivists, information management teams, and compliance support functions who leave with a Digital Archive AI Improvement Plan. The course connects records requirements, lifecycle controls, metadata, classification, digitization quality, AI enrichment, semantic search, access, integrity, preservation, and human validation. Agile Leaders Training Center delivers this course on digital archives and AI records management.

Who Should Attend

Records functions responsible for capture, classification, retention, and disposition
Archive functions responsible for description, preservation, access, and discovery
Information management functions responsible for metadata, repositories, and retrieval
Administrative functions responsible for digital files and transfer to record systems
Governance functions responsible for access, evidence, quality, and oversight

The course assumes participants manage records or digital collections and leaves out archival conservation science, software engineering, and jurisdiction-specific legal advice.

Departments and Industries

The course supports digital archive and records decisions across public, private, and nonprofit environments.

Archives, libraries, and knowledge services
Corporate records and information governance
Healthcare and education administration
Financial and professional services
Engineering, energy, and infrastructure organizations

Learning Objectives

By the end of this course, participants will be able to:

Analyze digital archive requirements across the records lifecycle
Build metadata, classification, access, and retention controls
Apply AI to description, tagging, search, and sensitive-content review
Evaluate generated metadata for accuracy, context, integrity, and bias
Prioritize preservation and archive improvement actions
Create a Digital Archive AI Improvement Plan

Course Agenda

Day 1: Records and Archive Context

ISO 15489 Records Management Principles Map
Business Context and Records Requirement Analysis
Record Identification and Capture Decision Matrix
Digital Records Lifecycle and Control Model
Archive Stakeholder and Access Needs Register

Day 2: Metadata and Classification

Archival Description and Metadata Element Canvas
File Plan and Classification Scheme Design
Controlled Vocabulary and Entity Authority List
Retention and Disposition Rule Register
Metadata Quality and Consistency Checklist

Day 3: AI Enrichment and Discovery

AI Tagging and Topic Extraction Workflow
Automated Description and Summary Review Method
Semantic Search and Retrieval Test Plan
Sensitive Information Detection and Escalation Grid
Human Validation and Professional Judgment Protocol

Day 4: Integrity Access and Preservation

Digitization Quality and Completeness Assessment
Authenticity Provenance and Audit Trail Map
Role-Based Access and Use Permission Matrix
Digital Preservation Risk and Format Register
AI Use Governance and Monitoring Checklist

Day 5: Digital Archive Improvement Practice

Suggested Exercise: Records Requirement and Lifecycle Review
Suggested Exercise: Metadata and Classification Quality Challenge
Suggested Exercise: AI Description and Search Validation
Suggested Exercise: Integrity Access and Preservation Decision
Capstone Exercise: Digital Archive AI Improvement Plan

Practical Exercises

The course includes suggested activities for improving digital archives while maintaining records controls and professional judgment.

Suggested activity: classify a set of digital materials and document capture decisions.
Suggested activity: design metadata and test AI-generated tags against the source content.
Suggested activity: evaluate semantic search results and sensitive-information flags.
Suggested activity: present a Digital Archive AI Improvement Plan with owners, controls, measures, and priorities.

FAQs

Who suits the Digital Archives and AI Records Management Course?

Records officers, archivists, administrative teams, information managers, and governance support functions suit the course; it assumes responsibility for records or digital collections.

How does AI records management differ from a general digitization course?

AI records management combines capture, lifecycle, metadata, classification, access, integrity, retention, preservation, AI enrichment, search, and validation rather than focusing only on scanning.

How can AI support digital archives?

AI can support tagging, topic and entity extraction, draft descriptions, semantic search, retrieval, classification assistance, and sensitive-content detection when archival professionals validate results.

Why must AI-generated archival metadata be reviewed?

Generated metadata requires review because archival meaning depends on source context, provenance, relationships, terminology, accuracy, access conditions, and professional judgment.

What belongs in a Digital Archive AI Improvement Plan?

A Digital Archive AI Improvement Plan links archive needs, lifecycle controls, metadata, AI use cases, validation, access, integrity, preservation risks, owners, measures, and phased actions.

Conclusion

Participants leave with a Digital Archive AI Improvement Plan connecting records requirements, metadata, AI enrichment, access, integrity, preservation, and ownership. The work product improves how digital materials are controlled and discovered. It gives archive teams a reusable structure for quality checks, human validation, risk decisions, monitoring, and phased improvement.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 61-76 of 76 events

Location	Dates	Duration	Mode	Price
Amsterdam	Week 31, 2027 2 – 6 August 2027	5 Days	Onsite	€5,700
Cairo	Week 32, 2027 9 – 13 August 2027	5 Days	Onsite	€4,100
Abu Dhabi	Week 32, 2027 9 – 13 August 2027	5 Days	Onsite	€4,700
Amman	Week 32, 2027 15 – 19 August 2027	5 Days	Onsite	€4,100
Kuala Lumpur	Week 33, 2027 16 – 20 August 2027	5 Days	Onsite	€5,200
Doha	Week 33, 2027 22 – 26 August 2027	5 Days	Onsite	€5,500
Nairobi	Week 34, 2027 29 August – 2 September 2027	5 Days	Onsite	€4,500
Milan	Week 36, 2027 6 – 10 September 2027	5 Days	Onsite	€5,700
Marbella	Week 36, 2027 12 – 16 September 2027	5 Days	Onsite	€5,700
London	Week 37, 2027 13 – 17 September 2027	5 Days	Onsite	€5,700
Madrid	Week 38, 2027 20 – 24 September 2027	5 Days	Onsite	€5,700
Bangkok	Week 38, 2027 26 – 30 September 2027	5 Days	Onsite	€6,000
Dubai	Week 39, 2027 27 September – 1 October 2027	5 Days	Onsite	€4,500
Bali	Week 39, 2027 3 – 7 October 2027	5 Days	Onsite	€5,700
Paris	Week 41, 2027 11 – 15 October 2027	5 Days	Onsite	€5,700
Berlin	Week 41, 2027 11 – 15 October 2027	5 Days	Onsite	€5,700

Frequently asked questions

What does this course cover?

OverviewThe Digital Archives and AI Records Management Course is a five-day intermediate course for records officers, administrative teams, archivists, information management teams, and compliance support functions who leave with a Digital Archive AI Improvement Plan. The course connects records requirements, lifecycle controls, metadata, classification,…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Digital Archives and AI Records Management Course