Artificial intelligence for education and e-learning platforms
In education, AI contributes more as support than as a substitute: a tutor that answers questions from the course material, help preparing content and exercises that the teacher reviews, personalised learning paths and administrative support. It requires special care with minors, with the assessment of people and with transparency towards learners.
By Oliver Guirado · Updated on October 28, 2026 · 5 min read
What AI can bring to training and where to be careful
Academies and training platforms receive hundreds of repeated questions (deadlines, access, content), spend hours preparing materials and cannot accompany every learner at their own pace. AI helps with a tutor that answers from the course material, tools to prepare content and exercises, and recommendations on what to study next.
The delicate part is the assessment of people and dealing with minors: European rules treat certain uses in education as high risk (for example deciding admissions or grading exams automatically) and the GDPR demands special protection for minors’ data. Our rule: AI proposes, the teacher decides. We already build online training platforms.
AI use cases in education and e-learning
Course virtual tutor
Answers questions from the course material, cites the lesson and proposes exercises; hands over to the teacher what it cannot resolve.
Transcripts, subtitles, translations and summaries to reach more learners.
Sample AI projects in education and e-learning
Sample project · Training platform
Virtual tutor for an online course platform
Problem
Tutors spent most of their time answering the same questions about content and deadlines, and learners waited hours for a reply.
Solution
An assistant inside the platform that answers from each course’s material, cites the lesson, suggests revision and escalates to a human tutor with the context when it cannot resolve the question.
Steps
Inventory of materials per course and of the most repeated questions.
Content indexing with permissions per course.
Evaluation with real learner questions.
Integration in the virtual classroom and a panel of unanswered questions.
Target outcome
Immediate answers, tutors focused on cases that need accompaniment and a map of which content generates the most questions.
Technology
RAG per course, platform API, language model, question analytics panel.
Sample project · Academy
Assisted generation of quizzes and case studies for an academy
Problem
Preparing new quizzes and cases for each intake consumed weeks of teachers’ work.
Solution
A tool that proposes questions of different levels with answer and explanation from the syllabus; the teacher reviews, edits and publishes.
Steps
Analysis of question types and quality criteria.
Generator with structured format and difficulty control.
Tests with teachers and tuning.
Integration in the platform’s editor.
Target outcome
Less preparation time and wider question banks, with the teaching staff in control of the final result.
Technology
Language model with structured output, platform editor, review panel.
The projects on this page are illustrative, anonymised examples of how we approach this kind of work. Every real project is defined with your information, your systems and your goals.
Data, integrations and compliance
Minors’ data: reinforced protection, consent from parents or guardians where applicable and strict minimisation.
Assessment and admissions: uses that decide grades or access are considered high risk under European rules and require human oversight and documentation.
Transparency: learners know when they are interacting with an AI system and can ask a person for help.
Pedagogical quality: generated content is reviewed before publication and checked against the syllabus.
Identify the questions that repeat most and how much time they consume.
Start with a tutor over the course material or with administrative support.
Add content generation with teacher review.
Consider personalised paths once there is enough progress data.
Reference prices for AI in education and e-learning
What is usually implemented first
Indicative investment
Typical timeline
Virtual tutor per course with a question panel
€9,000 – €30,000
6 – 12 weeks
Assisted generation of content and quizzes
€8,000 – €25,000
5 – 10 weeks
Personalised learning paths
€15,000 – €45,000
2 – 4 months
Indicative reference prices in euros, excluding VAT, for projects in Spain and Europe in 2026. The final amount depends on scope, integrations and data quality; we confirm it with a fixed quote after a first meeting.
As a tutor that answers from the course material, to prepare content and exercises that the teacher reviews, to recommend learning paths and to handle administrative questions.
Can AI grade work automatically?
It should not do so without human review. European rules treat certain assessment uses as high risk; the advisable approach is for it to give indicative feedback and for the teacher to decide.
How much does a virtual tutor for an online course cost?
Between €9,000 and €30,000 depending on the volume of materials, the courses and the integrations. These are reference prices excluding VAT.
What about minors’ data?
It requires reinforced protection: minimisation, consent from whoever is appropriate, agreements with providers and, often, processing in the EU. It is designed that way from the start.
Does it integrate with my platform?
Yes, if it has an API or another integration route (for example Moodle or other LMS). We check before quoting.
Shall we talk about your project?
Tell us about your case and we will reply within 24-48 hours with a proposed scope and an indicative quote.
