Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Stripe Radar - Optimizing Payment Fraud Detection training are: Mastery of Stripe API, JavaScript/Node.js, knowledge of payment security and machine learning. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Stripe Radar - Optimizing Payment Fraud Detection training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training Stripe Radar - Optimizing Payment Fraud... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training Stripe Radar - Optimizing Payment Fraud Detection training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training Stripe Radar - Optimizing Payment Fraud Detection training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Stripe Radar - Optimizing Payment Fraud Detection training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Master Stripe Radar for professional enterprise fraud detection

Develop custom Radar rules to optimize approval rates

Implement advanced ML models in Stripe Radar for precise predictions

Configure real-time monitoring and certified anti-fraud alerts

Optimize Radar integrations with Stripe API for scalable projects

Analyze Radar metrics to strengthen enterprise security skills

Deploy Radar solutions reducing fraudulent losses by 40%

Training program

Module 1Stripe Radar Configuration: Advanced Setup and Basic Rules (API, Dashboard)

Dive into expert configuration of Stripe Radar via dashboard and API, set up the test environment with secret keys and webhooks, create your first conditional blocking rules based on IP and user behavior, test in sandbox mode on simulated fraudulent transactions, produce an initial efficiency report with approval metrics, immediately enhance your skills for secure enterprise payments.

Module 2Custom Stripe Radar Rules: Scripting and Dynamic Thresholds (Risk API)

Design advanced Stripe Radar rules with custom JavaScript, integrate dynamic thresholds based on velocity and customer history, use Risk API for real-time scoring, apply exercises to real e-commerce cases like card testing attempts, optimize false positives via A/B testing, generate deliverables like deployable scripts and custom dashboards, boost your professional projects with tailored anti-fraud measures.

Module 3Stripe Radar ML Models: Training and Advanced Predictions (Early Fraud Warnings)

Explore native machine learning models in Stripe Radar, train them on your historical data via API, integrate Early Fraud Warnings for proactive alerts, simulate complex scenarios like mule accounts or syphoning, practice with anonymized datasets and Radar Review tools, analyze accuracy via ROC curves, produce a custom deployable model reducing fraud by 30%, strengthen your certifiable enterprise AI anti-fraud skills.

Module 4Stripe Radar Monitoring: Analytics and Real-Time Optimization (Sigma, Radar Block)

Master Stripe Radar monitoring with Sigma for custom SQL queries on fraud events, configure Radar Block dynamic lists and Radar Sessions for traceability, analyze metrics like dispute rates and false positive ratios on live data, optimize via webhook automations, practice incident response drills, create Slack/Email alert dashboards, transform your enterprise processes into a performant and scalable anti-fraud shield.

Module 5Stripe Radar Deployment: Best Practices and Enterprise Cases (Full Integrations)

Deploy Stripe Radar in production with CI/CD and horizontal scaling, integrate with Node.js/Next.js microservices architectures, manage PCI-DSS and GDPR compliance, conduct code review on the complete anti-fraud capstone project, simulate load testing at 10k TPS, produce deployment documentation and audit plans, certify your skills for fintech career transitions, deliver a turnkey solution minimizing losses and maximizing approvals.