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Postgraduate DiplomaData, AI, Simulation & Analytics Applications open

Diploma in Integration of Technical Assistants in Operations

Online postgraduate diploma of 800 hours in integrating technical assistants into operations, structured in 8 modules covering use cases, integration with ERP, MES and CMMS, operational context, interaction design, safety and human oversight, deployment and organisational change, with an assigned technical tutor.

Duration6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Identify operational processes with potential for technical assistants.

02

Integrate assistants with ERP, MES and CMMS through APIs and connectors.

03

Build operational context from documentation and asset data.

04

Design interactions suited to plant and field technicians.

05

Apply human oversight and OT cybersecurity to operational agents.

06

Measure the impact of assistants with maintenance indicators.

07

Plan organisational adoption in line with AI regulations.

Profile

Who it's for

  • AI engineers applying their skills to industrial operations.
  • Industrial integration architects.
  • Plant digital transformation managers.
  • Digital maintenance engineers.
  • Product owners of AI solutions.
  • Industry 4.0 consultants.
  • Engineering or science graduates seeking to enter industry and manufacturing.
Standards & tools

What you'll work with

  • Regulation (EU) 2024/1689 (Artificial Intelligence Act)
  • IEC 62443 (security of industrial automation and control systems)
  • ISO/IEC 42001:2023 (AI management systems)
  • ISO 14224 (equipment reliability and maintenance data)
  • ANSI/ISA-95 (enterprise-control system integration)
  • ISO 9241-110:2020 (interaction principles)
  • Regulation (EU) 2016/679 (General Data Protection Regulation)
  • Law 31/1995 (Spanish Occupational Risk Prevention Act)
  • LangGraph
  • Microsoft Copilot Studio
  • SAP Business Technology Platform
  • Langfuse
  • Node-RED
Syllabus

8 modules

  1. 1.1Typology: copilots, chatbots and agents
  2. 1.2Use cases in maintenance, quality and production
  3. 1.3Mapping candidate operational processes
  4. 1.4Task analysis of operators and technicians
  5. 1.5Functional and non-functional requirements
  6. 1.6Value and ROI estimation
  7. 1.7Operational risks of automation
  8. 1.8Selecting models and providers
  9. 1.9Reference architecture
  10. 1.10Workshop: opportunity map for a plant
  1. 2.1Integration with ERP and SAP
  2. 2.2MES systems and production data
  3. 2.3CMMS: SAP PM, Maximo and work orders
  4. 2.4REST and GraphQL APIs
  5. 2.5Model Context Protocol and connectors
  6. 2.6Function calling with typed schemas
  7. 2.7OAuth 2.0 authentication and delegation
  8. 2.8Queues and asynchronous processing
  9. 2.9Error handling and retries
  10. 2.10Practical exercise: an assistant that queries work orders
  1. 3.1Integrating sensor and historian data
  2. 3.2Asset context according to ISO 14224
  3. 3.3Technical documentation and procedures
  4. 3.4Retrieval augmentation over manuals
  5. 3.5Plant knowledge graphs
  6. 3.6Real-time versus historical data
  7. 3.7Quality and currency of context
  8. 3.8Permissions by role and area
  9. 3.9Source traceability
  10. 3.10Lab: asset context for fault diagnosis
  1. 4.1Conversational interfaces for the plant
  2. 4.2Voice in noisy environments
  3. 4.3Mobile devices and rugged tablets
  4. 4.4Augmented reality for guidance
  5. 4.5Plain language and step-by-step procedures
  6. 4.6Confirmations and reversible actions
  7. 4.7Handling uncertainty in responses
  8. 4.8Accessibility and multilingualism
  9. 4.9Testing with field technicians
  10. 4.10Case study: conversational flow for a permit to work
  1. 5.1Assistant autonomy levels
  2. 5.2Human in the loop and approvals
  3. 5.3Functional safety and action limits
  4. 5.4OT cybersecurity according to IEC 62443
  5. 5.5Prompt injection in operational environments
  6. 5.6Logging and auditing of actions
  7. 5.7Change management according to MOC procedures
  8. 5.8Task risk assessment
  9. 5.9Responding to assistant failures
  10. 5.10Workshop: risk analysis of a maintenance agent
  1. 6.1Pilots and controlled trials
  2. 6.2Indicators: MTTR, search time and adoption
  3. 6.3Evaluating response quality
  4. 6.4Observability and traces
  5. 6.5Inference costs and optimisation
  6. 6.6Edge and on-premise deployment
  7. 6.7Scaling to multiple plants
  8. 6.8Operator feedback
  9. 6.9Continuous improvement of the assistant
  10. 6.10Practical exercise: pilot dashboard
  1. 7.1Training operators and technicians
  2. 7.2Managing resistance to change
  3. 7.3Roles and responsibilities in operational AI
  4. 7.4Relationship with health and safety committees
  5. 7.5Consulting workers' representatives
  6. 7.6Managing tacit knowledge
  7. 7.7AI governance in the company
  8. 7.8Compliance with the AI Act
  9. 7.9Adoption roadmap
  10. 7.10Case study: multi-plant adoption plan
  1. 8.1Selecting the process and users
  2. 8.2Architecture and integration design
  3. 8.3Preparing the operational context
  4. 8.4Prototype implementation
  5. 8.5User testing
  6. 8.6Risk analysis and oversight
  7. 8.7Deployment plan and metrics
  8. 8.8Pilot value analysis
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

The programme is delivered 100% online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, making it compatible with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is LangGraph, Microsoft Copilot Studio, SAP Business Technology Platform, Langfuse, Node-RED, in free, academic or evaluation versions. Tests are studied on real procedures: integrating an assistant with maintenance work orders, assistant pilots with field technicians, and risk analysis of agents that act on systems. Assessment is continuous by module plus the final capstone project.

Standards covered: Regulation (EU) 2024/1689 on Artificial Intelligence, IEC 62443, ISO/IEC 42001:2023, ISO 14224, ANSI/ISA-95, ISO 9241-110:2020, Regulation (EU) 2016/679 (GDPR), Spanish Law 31/1995 on Occupational Risk Prevention.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of the EU AI Act (Regulation (EU) 2024/1689), IEC 62443 and ISO/IEC 42001:2023 applied to real cases, not as a theoretical annex.
Industry software:LangGraph, Microsoft Copilot Studio, SAP Business Technology Platform, Langfuse and Node-RED, in free, academic or evaluation versions.
Final project:a prototype operational assistant for a real process, from architecture and integrations to user testing, risk analysis and deployment plan, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Process and user selection
Choose an operational process and its users and design the architecture and integrations.
Operational context
Prepare the asset data and documentation the assistant will rely on.
Prototype and user testing
Implement the prototype and test it with operators and technicians.
Risk and deployment plan
Analyse risks and oversight and define the deployment plan and metrics.
Final project
Pilot value analysis, report and presentation, reviewed by your tutor.
Career opportunities

Where this takes you

Operations AI engineerIndustrial integration architectPlant digital transformation managerDigital maintenance engineerAI solutions product ownerIndustry 4.0 consultant
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • An internet connection and a computer capable of running the programme's software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

Apply now Scholarships
FAQ

Frequently asked questions

The programme totals 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with LangGraph, Microsoft Copilot Studio, SAP Business Technology Platform, Langfuse and Node-RED, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute diploma, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

Prior technical training or professional experience in the sector (no university degree required), a computer able to run the software, and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

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