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Stripe Radar Training - Optimizing Fraud Detection for Payments

Ref: TTQ316
10 people max.
7000€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master Stripe Radar to secure professional enterprise transactions
  • Develop custom anti-fraud rules using advanced machine learning
  • Implement real-time monitoring and early fraud warning alerts
  • Optimize Radar performance through analytics and model tuning
  • Design expert Stripe Radar integrations in scalable architectures
  • Deploy GDPR- and PCI-DSS-compliant certified solutions

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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Stripe Radar Configuration: Custom Rules and Adaptive Thresholds (Radar API, Initial Dashboards)

Dive into expert customization of Stripe Radar, configure advanced behavioral rules based on velocity and geolocation, test dynamic thresholds on real fraud datasets, integrate initial webhooks for automated captures, perform practical exercises in your Stripe test environment, and produce an initial optimization report with fraud blocking metrics.

Module 2Stripe Radar Machine Learning: Model Tuning and Early Fraud Warnings (Risk Scores, ML Insights)

Explore the underlying ML algorithms of Stripe Radar, fine-tune predictive models using labeled datasets, activate early fraud warnings for proactive interventions, simulate high-fraud scenarios with Stripe CLI tools, analyze impacts on approval rates, develop Python scripts for ML automations, and generate deliverables including a custom predictions dashboard.

Module 3Stripe Radar API Integration: Secure Webhooks and Real-Time Flows (Node.js, Radar Events)

Implement expert integrations via Radar API and secure webhooks, handle real-time risk_score events with Node.js or Python, configure retries and idempotency for robustness, test end-to-end flows in Stripe sandbox, address edge cases like A/B testing frauds, build a scalable prototype connected to your backend, and document APIs with Swagger for enterprise deployment.

Module 4Stripe Sigma Monitoring and Analytics: Radar Optimization (Sigma Queries, Custom Alerts)

Master Stripe Sigma for advanced Radar analytics, query historical fraud data using SQL-like syntax, configure Grafana dashboards integrated with Radar metrics, optimize false positive rates via automated A/B tests, implement Slack/Teams alerts for anomalies, analyze anti-fraud ROI with real business cases, and produce a quantified optimization plan reducing losses by at least 30%.

Module 5Expert Stripe Radar Cases: Compliance, Scaling, and Red Thread Project (PCI-DSS, High Volume)

Address complex cases such as high-volume frauds and GDPR/PCI-DSS compliance using Stripe Radar, scale solutions on Kubernetes for 1M+ transactions/day, integrate Radar into microservices, finalize the red thread project with a full security audit, simulate real attacks and countermeasures, prepare production deployment with CI/CD, and receive skills certification via quiz and defense.

Evaluation method

  • Expert multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous assessment via practical exercises and code reviews
  • Defense of the red thread anti-fraud project before the trainer

Learning method

  • Training delivered by an active Stripe expert trainer
  • Practical exercises based on real business fraud cases
  • Progressive red thread project throughout the training
  • Complete course materials provided to each participant

Methods, materials and delivery

The Stripe Radar Training - Optimizing Fraud Detection for Payments 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 Stripe Radar Training - Optimizing Fraud Detection for Payments 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 Stripe Radar Training - Optimizing Fraud Detection for Payments 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

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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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