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Training Stripe Radar - Optimizing Fraud Detection in Payments

Ref: SKX665
10 people max.
6125€ 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 advanced Stripe Radar configurations to secure professional transactions
  • Develop custom Radar rules optimizing fraud detection in enterprise settings
  • Analyze Stripe Radar risk data to reduce false positives with certified skills
  • Implement Stripe Radar integrations in scalable applications for professional training
  • Optimize Radar performance for PCI-DSS compliance in secure payment flows
  • Deploy automated fraud review workflows with Stripe Radar in production
  • Evaluate Radar metrics to boost enterprise revenue via expert skills

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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Configuration: Initialize Stripe Radar for Professional Projects (API, Webhooks, Dashboards)

Dive into expert installation of Stripe Radar via dashboard and API, configure secure keys and webhooks for real-time alerts, explore default risk settings tailored to your e-commerce sector, complete practical exercises on real fraud datasets, produce your first custom risk report, validate integration with trainer code review for a solid professional foundation.

Module 2Custom Rules: Create Anti-Fraud Stripe Radar Filters (Logic, Scoring, Machine Learning)

Design advanced Stripe Radar rules combining suspicious IPs, payment velocity, and anomalous behaviors, integrate Radar machine learning for adaptive scoring, test on real historical chargeback cases, optimize thresholds to minimize false positives via A/B testing, develop Node.js scripts to automate rules, generate immediately deployable deliverables boosting enterprise security.

Module 3Data Analysis: Leverage Stripe Radar Insights (Metrics, Reports, Risk API)

Exploit Radar API to extract real-time fraud metrics, analyze detailed reports from Stripe dashboards to identify hidden patterns, practice SQL-like queries on event logs, simulate massive fraud scenarios with simulation tools, build custom dashboards in Power BI/Tableau integrating Radar, produce actionable recommendations typically reducing losses by 40%.

Module 4Scalable Integrations: Couple Stripe Radar with Enterprise Stacks (Microservices, SIEM)

Integrate Stripe Radar into microservices architectures via Kafka webhooks or AWS Lambda, synchronize with SIEM tools like Splunk for unified alerts, develop custom middlewares handling automated blocks, test high load at 1000 TPS without latency, apply real scalable fintech cases, deliver production-ready open-source code certifying professional skills.

Module 5Production Deployment: Optimize Stripe Radar for Compliance (PCI-DSS, Monitoring, Audits)

Deploy Stripe Radar in production with CI/CD using GitHub Actions, configure Prometheus/Grafana monitoring for fraud metrics, audit PCI-DSS compliance via Radar checklists, simulate internal audits and stress tests, automate manual reviews with Zapier/Slack workflows, finalize capstone project with defense, receive skills certificate for your resume.

Evaluation method

  • Advanced MCQ to validate Stripe Radar skills at the end of training
  • Evaluation of practical exercises on custom fraud rules
  • Defense of capstone project integrating Radar in production

Learning method

  • Expert courses by certified Stripe trainer with field experience
  • Practical exercises on real e-commerce fraud cases for enterprise
  • Progressive 5-day capstone project on complete Stripe Radar
  • Detailed course materials with API resources provided to participants

Methods, materials and delivery

The Training Stripe Radar - Optimizing Fraud Detection in 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 Training Stripe Radar - Optimizing Fraud Detection in 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 Training Stripe Radar - Optimizing Fraud Detection in 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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