Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
AI for Risk Management, Compliance & Fraud Detection
Role Play
Rating: 4.3 out of 5(183 ratings)
8,855 students

AI for Risk Management, Compliance & Fraud Detection

Learn AI for risk assessment, compliance automation, audit, fraud detection and third-party risk management
Last updated 6/2026
English

What you'll learn

  • How can AI help build Excellence in Risk Management & Compliance
  • Case Studies of AI helping build Excellence in Risk Management & Compliance
  • Building Blocks to use AI for Excellence in Risk Management & Compliance
  • Implementing Building Blocks to use AI for Excellence in Risk Management & Compliance
  • Risk Identification & Prediction
  • Regulatory Compliance Automation
  • Real-time Monitoring & Alerts
  • Fraud Detection & Prevention
  • Risk Scoring & Prioritization
  • AI-Driven Audit and Controls
  • Compliance Training & Policy Interpretation
  • Third-party Risk Management
  • Scenario Analysis & Stress Testing
  • Reporting & Regulatory Filings

Course content

15 sections35 lectures5h 43m total length
  • Introduction7:15

    Introduction to instructor and course

  • Introduction Case Study15:27

    A case study of building individual excellence in risk management and compliance using AI

Requirements

  • 5 hours learning time

Description

Want to use AI to improve Risk Management, Regulatory Compliance, Fraud Detection, Internal Audit, and Third-Party Risk Management but don't know where to start?

This course shows you how AI is transforming modern risk and compliance functions and how you can apply these capabilities to identify risks earlier, automate compliance activities, strengthen controls, improve audit effectiveness, and make better risk-based decisions.

Whether you work in Risk Management, Compliance, Internal Audit, Governance, Financial Services, Operations, or Third-Party Risk Management, this course provides a practical framework for applying AI across the entire risk lifecycle.

What You Will Learn

You will learn how to use AI for:

• Risk Identification and Risk Prediction

• Regulatory Compliance Automation

• Real-Time Monitoring and Alerts

• Fraud Detection and Prevention

• Risk Scoring and Prioritization

• AI-Driven Audit and Controls Testing

• Compliance Training and Policy Interpretation

• Third-Party Risk Management (TPRM)

• Vendor Risk Assessment

• Scenario Analysis and Stress Testing

• Regulatory Reporting and Filings Automation

You will also learn how AI technologies such as machine learning, predictive analytics, anomaly detection, graph analytics, natural language processing (NLP), robotic process automation (RPA), and generative AI can strengthen risk and compliance programs.

Practical Applications Covered

Throughout the course, you will explore practical use cases such as:

• Detecting emerging risks using internal and external data

• Monitoring regulatory changes automatically

• Identifying fraud patterns and suspicious activities

• Prioritizing risks through AI-powered scoring models

• Assessing supplier and vendor risks

• Supporting internal audit and control testing activities

• Running scenario analysis and stress-testing exercises

• Generating risk reports and compliance documentation more efficiently

• Improving decision-making through real-time risk intelligence

Why This Course Is Different

Many courses focus only on risk management concepts or compliance frameworks.

This course focuses on how Artificial Intelligence can enhance and automate these activities in real-world organizations.

You will not only understand the theory behind AI-powered risk management but also learn practical approaches used across banking, financial services, healthcare, manufacturing, technology, and other industries.

Learn From Real-World Experience

My interest in AI for Risk Management and Compliance began with studying how organizations use analytics, machine learning, and automation to manage increasingly complex risk environments.

Over time, I continued learning from developments in fraud detection, compliance automation, audit analytics, regulatory technology (RegTech), risk modeling, and generative AI applications in governance and compliance.

This course brings together those learnings into a structured roadmap that shows how AI can help organizations identify, assess, monitor, and mitigate risks more effectively.

Who This Course Is For

• Risk Managers and Risk Analysts

• Compliance Professionals

• Internal Auditors and Control Specialists

• Financial Risk Management Professionals

• Third-Party Risk Management (TPRM) Professionals

• Governance, Risk and Compliance (GRC) Teams

• Banking and Financial Services Professionals

• Operational Risk and Enterprise Risk Management Teams

• Business Leaders interested in AI-driven risk management

• Students seeking careers in Risk, Compliance, Audit, and Governance

Preview the lectures for yourself and see how Artificial Intelligence is reshaping modern Risk Management, Compliance, Fraud Detection, Internal Audit, and Third-Party Risk Management.

Enroll today and start building practical AI skills that can help you become more effective in managing risk, ensuring compliance, and protecting organizational performance.

This Course is Part of a Structured Learning Path

Learning Path: FINANCIAL MANAGEMENT PATH (Starter → Builder → Advanced)

This course is your ADVANCED step.

Next Recommended Courses

After completing this course, continue your growth with:

Accounting & Finance Fundamentals(Starter)

Personal Finance (Builder)

Fundamental Equity Analysis (Builder)

Who this course is for:

  • Aspiring and current risk management and compliance professional
  • Management boards