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.
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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.
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
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.
Build the audit framework from the regulation: requirements applicable to high-risk systems, obligations of the provider or deployer according to the audited role, quality management system, post-market surveillance and incident reporting. Types of missions: internal audit, supplier evaluation, dry-run review before a notified body intervention, post-incident control. Engagement, scope, criteria, auditor independence and conflict-of-interest management. Audit plan, sampling, schedule, contacts, rules of evidence and confidentiality. Workshop: draft the engagement letter and audit plan for a case brought by participants.
Expected evidence for the risk management system: dated analyses, successive versions, acceptability decisions and signatories, re-evaluations triggered by surveillance. Interview techniques with product and data teams and how to surface a gap without putting the auditee on the defensive. Audit of data governance: origin, preparation, annotation, representativeness, bias analysis, corrective measures, documented gaps. Consistency tests between what the documentation describes and what the pipeline actually does: review of training code, dataset verification, date controls. Practical work on a real anonymized file with findings presentation.
Review technical documentation against Annex IV, point by point, and distinguish absence from insufficiency. Verify that the documented version is the one in service: model number, deployment date, change history, retraining traceability. Audit of logging: events actually recorded, retention, usability for investigation. Audit of instructions for use: are declared performances the measured ones, do announced limits match the tests, is the described human oversight the one that exists at the deployer. Qualification of substantial modifications not re-evaluated. Workshop: conduct a full documentary review of a system and record findings.
Audit human oversight where it occurs: workstation observation, interviews with supervisors, measurement of available time, verification that the possibility to override system output exists in practice and in procedures. Review of provided test results: independence of evaluation sets, covered subpopulations, acceptance criteria, unfavorable results and their handling. Targeted counter-tests conducted by the auditor on a sample. Review of AI-specific cybersecurity provisions and model supply chain. Role-play: each subgroup audits the system prepared by another, with interviews played by participants.
Qualify deviations: major non-conformity, minor non-conformity, observation, and what justifies each level with regard to risk to individuals. Draft a usable report: finding, evidence, requirement concerned, effect, recommendation, without confusing recommendation with solution prescription. Oral presentation to an executive committee: what is said, what is demonstrated, how to maintain a contested conclusion. Remediation plan, prioritization, milestones, effectiveness control and closure of deviations. Preparing the organization for official evaluation and authority control. Final examination: complete audit of a system over half a day, written report, presentation defended before the group.
The Training AI Act — Auditing a High-Risk AI System 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.
For the smooth delivery of the Training AI Act — Auditing a High-Risk AI System program, the following equipment is required:
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.
Assessment of skills acquired during the Training AI Act — Auditing a High-Risk AI System program is performed through:
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.
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.
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.
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
Programming LanguagesIndustry-certified
Programming LanguagesIndustry-certified
Programming LanguagesIndustry-certified
Programming LanguagesIndustry-certified
Programming LanguagesIndustry-certified
Programming LanguagesIndustry-certified
Programming LanguagesIndustry-certified
Programming LanguagesIndustry-certified
Programming LanguagesIndustry-certified
Programming LanguagesIndustry-certifiedAvailable on-site and remotely. Pick your city to see the local training center.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.