Course in Chatbots for Mobility Insurance
Online 300-hour course in chatbots for mobility insurance. 6 modules covering Regulation (EU) 2024/1689 (AI Act), Regulation (EU) 2016/679 (GDPR) and Rasa. Assigned tutor and enrolment open.
Take the controls.
Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Describe the architecture of a conversational assistant based on rules, intents and language models.
Identify high-value use cases in policy sales, roadside assistance and claims reporting.
Design clear, accessible conversational flows with handover to a human agent.
Apply the transparency requirements of the AI Act and the customer information requirements of the IDD.
Ensure the protection of personal data and security when integrating the assistant with the insurer's systems.
Measure assistant quality through resolution rate, satisfaction and error analysis.
Develop a prototype chatbot for a mobility insurance service.
Who it's for
- Conversational designer looking to specialise in Chatbots for mobility insurance.
- Virtual assistant engineer looking to specialise in Chatbots for mobility insurance.
- Product owner of digital channels in insurance looking to specialise in Chatbots for mobility insurance.
- Customer experience analyst looking to specialise in Chatbots for mobility insurance.
- AI specialist in insurance looking to specialise in Chatbots for mobility insurance.
- Digital customer service manager looking to specialise in Chatbots for mobility insurance.
- Graduates in engineering or sciences seeking to enter motor and mobility insurance.
What you'll work with
- Regulation (EU) 2024/1689 (AI Act)
- Regulation (EU) 2016/679 (GDPR)
- Directive (EU) 2016/97 (insurance distribution, IDD)
- ISO/IEC 42001 (AI management systems)
- ISO/IEC 23894 (AI risk management)
- EN 301 549 (accessibility of ICT products and services)
- Regulation (EU) 2022/2554 (DORA)
6 modules · 300 h
1.1Types: rules, intents and generative models1.2Architecture of an assistant1.3Language understanding and intent detection1.4Dialogue and context management1.5Channels: web, app and messaging1.6Voice versus text1.7When an assistant is not the solution1.8Sector vocabulary and acronyms1.9User expectations and frustration1.10Exercise: deciding the scope of an assistant
2.1Enquiries about cover and conditions2.2Guided policy sales and quotes2.3Policy management and amendments2.4Claims reporting and tracking2.5Roadside assistance and emergencies2.6Renewal and retention2.7Support for brokers and staff2.8Prioritising cases by value2.9Limits that require human intervention2.10Practice: prioritising assistant use cases
3.1Assistant personality and tone3.2Designing the main flows3.3Welcome and closing messages3.4Handling misunderstandings and repetition3.5Handover to a person and its design3.6Collecting data with minimum effort3.7Confirmations and error prevention3.8Accessibility and inclusion3.9Multilingualism and variants3.10Practice: designing a claims flow
4.1User identification and authentication4.2Data processed and minimisation4.3Mandatory information before purchase4.4Insurance distribution regulation4.5Applicable artificial intelligence regulation4.6Transparency: disclosing that the user is not speaking to a person4.7Conversation logging and retention4.8Channel security and fraud prevention4.9Liability for an incorrect response4.10Practice: compliance map for an assistant
5.1Resolution and handover metrics5.2Response quality and its evaluation5.3User testing before launch5.4Monitoring and fault detection5.5Conversation analysis for improvement5.6Knowledge management that feeds the assistant5.7Coordination with the customer service team5.8Operating cost and return5.9Evolution of the assistant over time5.10Practice: assistant dashboard
6.1Choice of use case and channel6.2Complete conversational design6.3Architecture and knowledge sources6.4Regulatory and data analysis6.5Handover to a person design6.6Evaluation plan and metrics6.7Launch and operations plan6.8Cost and return model6.9Project report6.10Project defence
How you'll learn
100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: students progress at their own pace within the intake, making it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Rasa, Dialogflow CX, Microsoft Copilot Studio, Python (LangChain), Botpress, in free, academic or evaluation versions. Tests are studied using real conversational flow design procedures for mobility claims reporting, usability testing with real users, response evaluation with test sets and quality metrics. Assessment is continuous per module plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Describe the architecture of a conversational assistant based on rules, intents and language models.
Identify high-value use cases in policy sales, roadside assistance and claims reporting.
Design clear, accessible conversational flows with handover to a human agent.
Apply the transparency requirements of the AI Act and the customer information requirements of the IDD.
Ensure the protection of personal data and security when integrating the assistant with the insurer's systems.
Where this takes you
Requirements
- No prior degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient command of Spanish to follow technical regulatory reading.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme comprises 300 total hours spread over 3 to 5 months. That is an average of 10 to 15 hours per week, compatible with full-time employment.
You will work with Rasa, Dialogflow CX, Microsoft Copilot Studio, Python (LangChain), Botpress. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
An SEIUM diploma upon passing the continuous assessment and the integrating project. This is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised towards the higher programme. Check the module recognition policy when you enrol.
Related programmes
Course in Small Modular Reactors (SMR)
Online 300 h course in small modular reactors (SMR). 6 modules with IAEA SSR-2/1 (Rev.1) (design of nuclear power plants), 10 CFR Part 52 (licensing and…
Electrical Integration of Hydrogen in Plants Course
Online 300-hour course in electrical integration of hydrogen in plants. 6 modules covering Regulation (EU) 2016/1388 (demand connection network code), IEC 61000-3-6 and DIgSILENT PowerFactory. Assigned…
Course in Ethics of AI Use for Conflict Prediction
Online 300-hour course in ethics of AI use for conflict prediction. 6 modules covering Regulation (EU) 2024/1689 (AI Act), the Council of Europe Framework Convention on…
More in Restoration & Classics
All Restoration & Classics programmes → · How to apply · Fees & financing · Scholarships