Digital Archives and AI Records Management Course

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

This 1-week course has 76 dates from November 2026 to November 2027 in 54 cities and live online. The next date runs 16 – 20 November 2026 in Abu Dhabi. Fees per participant run from €4,100 (Sharm El-Sheikh) to €14,000 (San Diego) in a classroom, and from €1,500 live online.

Digital Archives and AI Records Management Course
Duration
1 Week5 days
Next start
Abu Dhabi
Scheduled dates
76
Classroom cities
54Abu Dhabi, Chicago, Sharm El-Sheikh, Langkawi and more
Format
Classroom and live online
Fee per participant
€1,500–€14,000Average €5,750

What does this course cover?

Overview

The Digital Archives and AI Records Management Course is a one-week 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

When and where does this course run?

Showing 1-20 of 76 events
Image Location Dates Duration Mode Price Actions
Abu Dhabi Abu Dhabi Week 47, 2026
16 – 20 November 2026
1 Week Onsite €4,700
Chicago Chicago Week 47, 2026
22 – 26 November 2026
1 Week Onsite €12,000
Sharm El-Sheikh Sharm El-Sheikh Week 48, 2026
23 – 27 November 2026
1 Week Onsite €4,100
Langkawi Langkawi Week 48, 2026
29 November – 3 December 2026
1 Week Onsite €6,000
Dubai Dubai Week 50, 2026
7 – 11 December 2026
1 Week Onsite €4,500
Tbilisi Tbilisi Week 50, 2026
7 – 11 December 2026
1 Week Onsite €5,000
Geneva Geneva Week 50, 2026
13 – 17 December 2026
1 Week Onsite €6,200
London London Week 52, 2026
21 – 25 December 2026
1 Week Onsite €5,700
Amsterdam Amsterdam Week 52, 2026
21 – 25 December 2026
1 Week Onsite €5,700
Seoul Seoul Week 53, 2026
28 December 2026 – 1 January 2027
1 Week Onsite €10,000
London London Week 01, 2027
4 – 8 January 2027
1 Week Onsite €5,700
Madrid Madrid Week 01, 2027
4 – 8 January 2027
1 Week Onsite €5,700
Dubai Dubai Week 02, 2027
11 – 15 January 2027
1 Week Onsite €4,500
Addis Ababa Addis Ababa Week 03, 2027
18 – 22 January 2027
1 Week Onsite €4,500
Singapore Singapore Week 04, 2027
25 – 29 January 2027
1 Week Onsite €5,700
New York New York Week 05, 2027
1 – 5 February 2027
1 Week Onsite €12,000
Kuwait Kuwait Week 05, 2027
7 – 11 February 2027
1 Week Onsite €5,500
Zoom Zoom Week 06, 2027
8 – 12 February 2027
1 Week Online €1,500
Kuala Lumpur Kuala Lumpur Week 07, 2027
15 – 19 February 2027
1 Week Onsite €5,200
Lisbon Lisbon Week 07, 2027
15 – 19 February 2027
1 Week Onsite €5,700

Frequently asked questions

When does this course next run?

The next date runs 16 – 20 November 2026 in Abu Dhabi. It is one of 76 dates scheduled up to November 2027.

Where is this course held?

In a classroom in 54 cities: Abu Dhabi, Chicago, Sharm El-Sheikh, Langkawi, Dubai, Tbilisi, Geneva, London, and more. It is also scheduled as live online sessions.

Can I attend this course online?

Yes. One date is scheduled as a live online session: 8 – 12 February 2027, from €1,500 per participant.

How long is the course?

1 Week. Each date shows its start and end dates.

How much does the course cost?

Fees per participant run from €4,100 (Sharm El-Sheikh) to €14,000 (San Diego) in a classroom, and from €1,500 live online. Each date shows its own fee.

What does this course cover?

OverviewThe Digital Archives and AI Records Management Course is a one-week 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.

Can this course be run for our team?

Yes. Tell us the number of participants and your preferred dates and city through our training request form.

This course by city

Agile Leaders Training Center