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
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Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Training AI Act — Human Oversight, Robustness and Cybersecurity
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Design effective human oversight, not merely a button in an interface
- Define, measure and declare the expected accuracy and robustness of a system
- Address AI-specific threats: poisoning, adversarial examples, extraction, prompt injection
- Build a test plan and produce the evidence expected by the technical documentation
- Operate sustainably: drift, useful logging, shutdown procedure, link with operational security
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 1Human Oversight by Design
What the regulation requires: a system designed to be effectively supervised by humans during use. Provide supervisors with the means to understand the system’s capabilities and limitations, monitor its operation, detect anomalies and malfunctions, remain aware of automation bias, correctly interpret outputs, decide not to use the system, disregard its output or interrupt it. Enhanced requirements for certain biometric systems, with verification by two persons. Design of supervision interfaces: signals, uncertainty, local explanation, cognitive load, actual time available. Escalation and suspension procedures. Workshop: critical review of an existing supervision interface.
Module 2Accuracy and Robustness: Define, Measure, Declare
Select metrics that honestly describe performance according to the intended purpose and declare them in the instructions for use with their conditions of validity. Resilience to errors, failures and inconsistencies, including those arising from the environment or other systems. Redundancy, fallback solutions, controlled degradation, behaviour with out-of-distribution inputs. Systems that continue to learn after market placement: control of feedback loops and the risk of self-reinforcement of biased results. Practical work: establish a model’s performance sheet, its conditions of validity and its periodic verification protocol.
Module 3AI-Specific Threats and Defences
Poisoning of training data and pre-trained models, backdoors. Adversarial examples and transferability between models. Membership inference attacks, model inversion, model extraction and training data leakage. For systems built on language models: direct and indirect prompt injection, exfiltration via connected tools, knowledge base poisoning. Supply-chain security for models and datasets. Practical attack and defence exercises on a test bench, measuring the real effect of countermeasures on nominal performance.
Module 4Test Plan and Evidence Production
Design the test plan required for risk management: objectives, evaluation datasets and their independence, subpopulations, adversarial scenarios, acceptance criteria defined before testing. Real-world testing and associated precautions. Red teaming applied to an AI system: team composition, rules of engagement, reporting. Reproducibility: data, model, code versions, environment, execution log. Formatting results for technical documentation and the instructions for use, including unfavourable results and actions taken. Workshop: produce a system test report, reviewed by another subgroup.
Module 5Sustainable Operation
Production monitoring: data and performance drift, indicators, alert thresholds, retraining and its validation. Useful logging for investigation without disproportionate collection. Emergency shutdown procedure and its periodic testing. Linkage with the security operations centre, vulnerability management, incident response and sector-specific security obligations. What information security and AI management frameworks provide as structure, and what they do not cover. End-of-session case study: compile the complete robustness and security dossier for a high-risk system, then defend it before the group in a mock adversarial audit.
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 anonymized training dossiers
- Guided reading of the regulation articles and annexes, with the consolidated text visible
- Reusable models provided: register, document templates, analysis and control grids
Methods, materials and delivery
The Training AI Act — Human Oversight, Robustness and Cybersecurity 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 — Human Oversight, Robustness and Cybersecurity 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 — Human Oversight, Robustness and Cybersecurity 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 — Human Oversight, Robustness and Cybersecurity training cost?+
The price is $5,775 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training AI Act — Human Oversight, Robustness and Cybersecurity training?+
The training lasts 5 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?+
Confirmed practice in developing or operating machine learning systems, proficiency with Python and a testing environment. Knowledge of the requirements of arts. 8 to 15.
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
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