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.
Learning objectives
- Master Fraud Scoring 2026 algorithms for proactive detection in business
- Develop predictive anti-fraud models with generative AI and graph neural networks
- Implement real-time scoring on massive professional transaction streams
- Optimize model performance to reduce certified false positives
- Design scalable Fraud Scoring architectures adapted to 2026 threats
- Deploy Fraud Scoring solutions integrated into company IT systems with monitoring
- Acquire certifying skills in Fraud Scoring for professional certification
The Learni story
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
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 1Fraud Scoring 2026 Fundamentals: Anticipate Future AI Threats (ML Tools, Synthetic Datasets)
In-depth analysis of Fraud Scoring evolutions toward 2026, hands-on with tools like TensorFlow and PyTorch to model generative AI threats, exploration of real anonymized fraud datasets from banking and e-commerce, practical exercises in feature engineering on advanced behavioral variables, creation of first baseline model with ROC-AUC metrics, real-world deepfake attack case to validate proactive detection and produce personalized analysis report.
Module 2Advanced Fraud Scoring 2026 Algorithms: Graph NN and Hybrid Ensembles (XGBoost, LightGBM)
Deployment of graph neural networks to capture complex fraudulent relationships, combination of hybrid ensembles with XGBoost and transformers for ultra-precise scoring, practical workshops on 2026 attack simulations like synthetic identities, hyperparameter tuning via Optuna and temporal cross-validation, A/B tests reducing false positives by 30%, development of production-ready optimized model, focus on business value with ROI calculated on real company cases.
Module 3Real-Time Fraud Scoring 2026 Implementation: Kafka, Spark Streaming (Scalable APIs)
Configuration of real-time pipelines with Kafka and Spark Streaming to process millions of transactions per second, integration of Fraud Scoring into microservices via FastAPI, hands-on exercises deploying Docker/Kubernetes on AWS or GCP cloud, anomaly monitoring with Prometheus and Grafana, live attack simulations to validate latency under 50ms, optimization of dynamic thresholds based on continuous learning, production of interactive dashboard visualizing live fraud scores, demonstration of immediate value for ops teams.
Module 4Optimization and Deployment of Fraud Scoring 2026: Explainability, GDPR Compliance (SHAP, LIME)
Explainability techniques with SHAP and LIME for GDPR-compliant Fraud Scoring audits, model hardening against 2026 adversarial attacks, workshops to finalize red thread project on provided client dataset, production-like A/B testing with estimated 40% fraud loss reduction, CI/CD deployment plan with GitHub Actions, code review with pair-programming by expert trainer, skills certification via multiple-choice quiz and defense, delivery of personalized toolkit for immediate company implementation.
Evaluation method
- Certifying multiple-choice quiz to validate Fraud Scoring 2026 skills
- Continuous assessment through practical exercises and red thread project
- Defense of personalized model before expert trainer
Learning method
- Courses led by expert trainer active in fintech cybersecurity
- Practical exercises on real company fraud cases
- Progressive red thread project on Fraud Scoring 2026
- Complete course materials and Jupyter notebook resources
Methods, materials and delivery
The Training Fraud Scoring 2026 - Detect AI Frauds in Real Time program is delivered onsite or remote (blended-learning, e-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 Fraud Scoring 2026 - Detect AI Frauds in Real Time 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 Fraud Scoring 2026 - Detect AI Frauds in Real Time 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
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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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