What does the Payment Processing in Application Development course cover?
Payment Processing in Application Development is covered here in 8 modules: Payment Gateway Integration Architecture, PCI DSS Compliance and Data Handling, Fraud Detection and Risk Management and 5 more. The outline lists 48 specific topics, opening with select between redirect-based (e.g., hosted payment pages) and direct API integration based on PCI compliance scope and user experience requirements.
How do you approach Payment Processing in Application Development step by step?
The work is sequenced in 8 stages. It starts with Payment Gateway Integration Architecture, moves through PCI DSS Compliance and Data Handling and Fraud Detection and Risk Management, and ends at Regulatory and Legal Considerations. Each stage carries its own topic list, so the sequence is followed rather than summarised.
What is in Module 1 of the Payment Processing in Application Development course?
Module 1 is Payment Gateway Integration Architecture. It works through select between redirect-based (e.g., hosted payment pages) and direct API integration based on PCI compliance scope and user experience requirements., implement idempotency keys in payment initiation requests to prevent duplicate transactions during network retries., configure webhook endpoints with TLS 1.2+ and validate payloads using provider-signed secrets to prevent spoofing. and 3 more.
How is the Payment Processing in Application Development course delivered?
The Payment Processing in Application Development course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Payment Processing in Application Development course cost?
The Payment Processing in Application Development course is $250 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Payment Application Best Practices Toolkit, Payment Application Data Security Toolkit, Payment Gateways in Application Development, Payment Processing in Revenue Cycle Applications.
More answers: what you get with every course, refund policy, all help answers.
This curriculum spans the technical, operational, and regulatory dimensions of payment processing in ways comparable to a multi-workshop architecture review and risk assessment series conducted during a global fintech platform rollout.
Module 1: Payment Gateway Integration Architecture
- Select between redirect-based (e.g., hosted payment pages) and direct API integration based on PCI compliance scope and user experience requirements.
- Implement idempotency keys in payment initiation requests to prevent duplicate transactions during network retries.
- Configure webhook endpoints with TLS 1.2+ and validate payloads using provider-signed secrets to prevent spoofing.
- Design fallback routing to secondary gateways during primary provider outages using health checks and circuit breakers.
- Map gateway-specific error codes to standardized application-level error types for consistent user messaging.
- Isolate sensitive gateway credentials using environment-specific secrets management (e.g., Hashicorp Vault or AWS Secrets Manager).
Module 2: PCI DSS Compliance and Data Handling
- Architect card data flows to avoid storage; use tokenization from gateways or a PCI-validated service like Stripe Elements or Braintree.
- Implement network segmentation to isolate systems that handle PANs, even if transiently, from general application infrastructure.
- Conduct quarterly external vulnerability scans and annual penetration tests when handling card data directly.
- Define and enforce strict access controls for logs that may contain truncated card numbers or authorization responses.
- Document and maintain an Attestation of Compliance (AOC) when operating in SAQ D environments.
- Design logging pipelines to redact sensitive fields (CVV, full PAN) at ingestion using parsing rules or middleware filters.
Module 3: Fraud Detection and Risk Management
- Integrate device fingerprinting (e.g., FingerprintJS or MaxMind) to correlate transaction attempts across sessions.
- Configure velocity rules to flag or block transactions exceeding thresholds (e.g., 5 attempts from one IP in 10 minutes).
- Balance AVS and CVV verification enforcement against conversion rates, especially for international cardholders.
- Implement adaptive authentication challenges (e.g., 3D Secure 2) based on risk score thresholds from internal or gateway models.
- Establish a process to review and classify chargeback reasons for feedback into fraud rule tuning.
- Feed transaction outcomes into a machine learning pipeline to refine risk scoring over time using historical dispute data.