Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Training AI Act — Mapping and Classifying Your AI Systems
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Define the scope of the regulation: definition of an AI system, territorial reach, exclusions
- Position your organisation in the value chain: provider, deployer, importer, distributor
- Identify prohibited practices and cases where a deployer shifts into the provider role
- Classify a system as high-risk, transparency obligations or minimal risk, with supporting evidence
- Build a sustainable AI inventory and link it to the processing register
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1Scope, definitions and roles
Structure of the regulation: risk-based approach, obligations tied to roles rather than technologies. What the text defines as an AI system (Art. 3) and where the boundary lies with conventional software. Territorial scope and exclusions (Art. 2): national security and defence, scientific research and development, personal non-professional use, open-source components under conditions. The four roles and their respective obligations, then the shifts under Art. 25: affixing a trademark, substantially modifying a system or diverting its intended purpose turns the deployer into a provider. Prohibited practices (Art. 5): social scoring, exploitation of vulnerabilities, emotion recognition in the workplace and education, untargeted scraping of facial images, real-time remote biometric identification and its derogations. Workshop: qualifying ten real use cases brought by participants.
Module 2Classification: high-risk, transparency, minimal risk
The two entry points to high-risk: systems that are a product or safety component covered by the harmonisation legislation in Annex I (Art. 6(1)), and the eight domains in Annex III (biometrics, critical infrastructure, education, employment and worker management, access to essential services including creditworthiness and life/health insurance pricing, law enforcement, migration and border control, justice and democratic processes). The derogation in Art. 6(3) and the obligation to document its assessment before deployment. Systems subject only to the transparency obligations of Art. 50. General-purpose AI models integrated into an application chain and the implications for downstream users. Workshop: build a classification decision tree, apply it to a typical organisation’s portfolio, then arbitrate edge cases as a group.
Module 3Inventory, associated obligations and governance
Create an actionable AI inventory: purpose, business owner, provider, data processed, role assumed, classification and justification, lifecycle status, criticality. Automatically derive the list of applicable obligations for each system from its classification. Link the inventory to the GDPR processing register, application mapping and procurement process without maintaining three parallel repositories. Keep the inventory alive: entry point for any new tool, detection of undeclared AI uses, periodic review, arbitration of doubtful cases. Running case: produce an organisation’s inventory, a prioritised compliance roadmap and the governance structure that supports it.
Evaluation method
- Self-assessment at the start, followed by a validation quiz at the end of each day
- Continuous assessment of deliverables produced during the session, reviewed by the instructor
- Final presentation: group presentation of the compliance deliverable built during the training
Learning method
- Work on participants’ real AI use cases or on anonymised training scenarios
- Guided reading of the articles and annexes of the regulation, with the consolidated text visible
- Reusable templates provided: register, documentation frameworks, analysis and control grids
Methods, materials and delivery
The Training AI Act — Mapping and Classifying Your AI Systems program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training AI Act — Mapping and Classifying Your AI Systems program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training AI Act — Mapping and Classifying Your AI Systems program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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FAQ
Frequently asked questions
How much does the Training AI Act — Mapping and Classifying Your AI Systems training cost?+
The price is $3,675 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training AI Act — Mapping and Classifying Your AI Systems training?+
The training lasts 3 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
General knowledge of digital projects and, ideally, familiarity with GDPR. No technical expertise in machine learning is required.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
This training across cities
Available on-site and remotely. Pick your city to see the local training center.
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