Compliance Learning Path

AI in AML Surveillance

11 concepts · 6 paths · 2 pillars

Progress 0 / 11 complete

Flow

AI in AML Surveillance
ML Pipeline Engineering
Workflow Orchestration
Data Pipeline Architecture

All Paths

AI in AML Surveillance → ML Pipeline Engineering → Workflow Orchestration → Data Pipeline Architecture
3 steps
AI in AML Surveillance → Transaction Monitoring → Stream Processing → Data Pipeline Architecture
3 steps
AI in AML Surveillance → Transaction Monitoring → Change Data Capture → Apache Kafka
3 steps
AI in AML Surveillance → Transaction Monitoring → Know Your Customer (KYC) → AML Compliance Principles
3 steps
AI in AML Surveillance → Transaction Monitoring → Risk-Based Approach in AML → AML Compliance Principles
3 steps
AI in AML Surveillance → ML Pipeline Engineering → Data Pipeline Architecture
2 steps

Concepts in this Path

1 AI in AML Surveillance
Mark Done Apply
Aml 1 items Review on Dashboard →
Fed Proposes AML Program Reforms: Risk-Based Resource Allocation and Effectiveness Supervision Research
2 ML Pipeline Engineering
Mark Done Analyze
Data-engineering 5 items Review on Dashboard →
Building Resilient Data Pipelines with Spark and dbt Learn ML Pipeline Orchestration: From Notebook to Production with Feast and MLflow Research Feature Engineering at Scale: Building ML-Ready Market Data Pipelines with dbt and Iceberg Research
3 Workflow Orchestration
Mark Done Evaluate
Data-engineering 3 items Review on Dashboard →
ML Pipeline Orchestration: From Notebook to Production with Feast and MLflow Research Airflow vs Prefect vs Dagster: Choosing the Right Orchestrator in 2026 Research Dagster 2.0: Next-Gen Data Pipeline Orchestration for the Modern Data Platform Research
4 Data Pipeline Architecture
Mark Done Create
Data-engineering 1 items Review on Dashboard →
DataOps: Principles, Practices, and Pipeline Architecture Learn
5 Transaction Monitoring
Mark Done Analyze
Aml 5 items Review on Dashboard →
Designing a Comprehensive AML Compliance Program Learn Data Pipeline Observability in Financial Crime Compliance: Real-Time AML Monitoring at Scale Research AI-powered transaction monitoring: 80% false positive reduction at major European banks Research
6 Stream Processing
Mark Done Create
Data-engineering 5 items Review on Dashboard →
Real-Time Streaming with Apache Kafka: From Pub/Sub to Event-Driven Architecture Research Streaming ETL for Suspicious Activity Reports: Real-Time AML Data Pipelines with Kafka and Flink Research Real-Time Data Engineering for Algorithmic Trading: From Tick Data to Execution Signals Research
7 Change Data Capture
Mark Done Evaluate
Data-engineering 4 items Review on Dashboard →
Building an Open Source Data Stack: From Ingestion to Analytics Learn Change Data Capture: Real-Time Sync Patterns and Tools Learn Debezium and CDC: Capturing Database Changes at Scale Research
8 Apache Kafka
Mark Done Create
Data-engineering 7 items Review on Dashboard →
Change Data Capture: Real-Time Sync Patterns and Tools Learn Schema Management: Registries, Evolution, and Migration Strategies Learn Terraform for Data Infrastructure: Infrastructure as Code for the Data Platform Research
9 Know Your Customer (KYC)
Mark Done Analyze
Aml 8 items Review on Dashboard →
Enhanced Due Diligence, PEP Screening, and Adverse Media in Practice Learn KYC/CDD Workflows: From Onboarding to Ongoing Monitoring Learn KYC Fundamentals: Identity Verification in Financial Services Research
10 AML Compliance Principles
Mark Done Evaluate
Aml 3 items Review on Dashboard →
AML Knowledge Check — Interactive Quiz Learn AML Fundamentals — A Beginner's Guide Learn AML Training, Culture, and the Convergence with ESG Compliance Learn
11 Risk-Based Approach in AML
Mark Done Evaluate
Aml 2 items Review on Dashboard →
The Risk-Based Approach in AML: Framework, Calibration, and Implementation Learn The Risk-Based Approach in AML: A Practical Introduction Research

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