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ACAMS Certification - Anti Money Laundering Course in Kuwait

Curriculum mapped to official CAMS knowledge areas

Insights from experienced AML practitioners

AI-enabled compliance monitoring & detection concepts

Mock assessments & practical exam preparation

Flexible classroom & live online training with easy instalment plans

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Overview

What our training includes:

  • Aligned with the latest ACAMS examination blueprint
  • Eight modules covering AML, CFT and financial crime compliance
  • Practical workshops, case studies and investigation simulations
  • AI-assisted transaction monitoring and compliance risk analysis
  • Mock assessments designed to strengthen CAMS examination readiness

Upcoming sessions

Curriculum

1

What is money laundering and the stages of placement, layering, and integration

2

Definitions and distinctions: AML, CFT, sanctions, fraud, anti-bribery and corruption (ABC), and tax evasion

3

Financial crime landscape, predicate crimes, and global impact

4

Sector-specific financial crime risk: banking, insurance, MSBs/PSPs/ecommerce, VASPs and

5

cryptoassets, gaming and gambling, real estate, gatekeepers (lawyers, notaries, accountants), trusts and company service providers

6

FC risks related to PEPs and other highrisk customers

7

CAMS-aligned AML/AFC concepts (current blueprint)

AI Integration

AI Integration

  • Analyze money laundering typologies and financial crime indicators using AI-assisted compliance research
  • Generate structured AML concept summaries and revision notes
Activities/Case Study

Activities/Case Study

  • Identifying money laundering stages across multiple industries.
1

Customer Identification Program (CIP)

2

Customer Due Diligence (CDD)

3

Enhanced Due Diligence (EDD)

4

Beneficial Ownership

5

Ongoing Monitoring

6

Politically Exposed Persons (PEPs)

7

High-Risk Customers

8

Customer Risk Rating Methodologies

AI Integration

AI Integration

  • Evaluate customer risk indicators and beneficial ownership structures
  • Support customer due diligence documentation and risk classification
1

FATF Recommendations and GCC regulator linkages

2

(Note: FATF standards are globally neutral — the GCC regulator linkages are Learners Point's applied regional layer, not an ACAMS-defined scope.)

3

Public-private partnerships (PPP) and cross-border regulatory/FIU cooperation

4

United Nations conventions

5

Basel Committee guidance

6

Wolfsberg Principles

7

Financial Intelligence Units (FIUs)

8

International sanctions frameworks

AI Integration

AI Integration

  • Compare global AML regulations and FATF requirements
  • Analyze international compliance obligations across jurisdictions
Activities/Case Study

Activities/Case Study

  • Cross-border AML regulatory compliance assessment
1

Risk-Based Approach (RBA)

2

Enterprise AML governance framework

3

AML policies, procedures, and controls

4

AML risk assessments

5

Independent testing and audit

6

Compliance monitoring

7

Three lines of defense model

8

BSA Officer / MLRO roles and responsibilities

9

Risk Appetite Statement (RAS): purpose, drafting, communication, and control implementation

AI Integration

AI Integration

  • Review AML governance structures and compliance frameworks
  • Analyze enterprise risk assessment methodologies
Activities/Case Study

Activities/Case Study

  • Developing an enterprise AML compliance programme
1

Suspicious Activity Reports (SAR/STR)

2

Transaction monitoring

3

Investigation methodologies

4

Case management

5

Regulatory examinations

6

Enforcement actions

7

KPIs and KRIs for board and management reporting

8

De-risking and financial inclusion "Tipping off", customer communication, and use of Requests for Information (RFIs)

9

Named regulatory info-sharing regimes: FinCEN 314(a)/314(b), EU Regulation 2024/1624, COSMIC (Singapore)

10

Interaction between AFC professionals and the front office (relationship/account managers)

AI Integration

AI Integration

  • Review suspicious transaction patterns and investigation workflows
  • Support SAR drafting and case documentation analysis
Activities/Case Study

Activities/Case Study

  • Regulatory investigation involving complex financial crime activities
1

Sanctions compliance framework

2

OFAC, UN, EU and regional sanctions programmes

3

Transaction monitoring principles

4

Suspicious transaction indicators

5

Escalation procedures

6

Case documentation

7

Regulatory reporting obligations

AI Integration

AI Integration

  • Analyze sanctions screening results and transaction monitoring alerts
  • Support suspicious activity identification and escalation decisions
Activities/Case Study

Activities/Case Study

  • Identifying and escalating suspicious transactions involving sanctioned entities
1

Investigation planning

2

Evidence collection and documentation

3

Interview techniques

4

Case management lifecycle

5

Regulatory cooperation

6

Preparing investigation reports

7

Financial Intelligence Unit (FIU) engagement

AI Integration

AI Integration

  • Organize investigation evidence and analyze transaction relationships
  • Generate investigation timelines and reporting summaries
Activities/Case Study

Activities/Case Study

  • Multi-jurisdiction financial crime investigation involving complex transaction patterns
1

E-KYC, digital identity, facial recognition, liveness checks, biometrics, geolocation

2

Name/customer screening against named sanctions lists: OFAC, UN, EU

3

AI/machine-learning tools across onboarding, screening, transaction monitoring, and investigations

4

Traditional rules-based transaction monitoring: scenario coverage, threshold setting, statistical testing, model risk management and tuning

5

Network analysis tools

6

RegTech, data privacy/data protection considerations in AFC tools

7

Virtual assets and digital payment risks

AI Integration

AI Integration

  • Apply AI-enabled onboarding, sanctions screening, transaction monitoring, network analysis, and investigation support tools
  • Evaluate RegTech solutions and emerging digital financial crime risks
Activities/Case Study

Activities/Case Study

  • Implementing digital AML controls across a financial institution using modern compliance technologies

Meet your Trainer

Dr. Srinivas, PhD., MSc., MBA, LLB, CMA, CPA, PMP

Dr. Srinivas Reddy is a skilled Corporate Trainer with a solid finance background and diverse credentials. He delivers effective learning solutions for finance and accounting teams, specializing in financial, cost, and tax accounting.

Dr. Reddy, a resourceful trainer, creates engaging and effective learning environments. He is dedicated to assessing training needs and closely monitors progress to provide relevant guidance, boosting participants' skills and productivity.

Dr. Reddy is not just a corporate trainer; he’s also deeply involved in community service. His commitment to both personal and professional growth makes him stand out.

Core Competencies:

  • Exceptional competency in the finance domain
  • Outstanding communication & presentation skills
  • Strong teaching proficiency
  • Expertise across different verticals

Professional Qualifications:

  • Certified Public Accountant (CPA), The American Institute of Certified Public Accountants, U.S.A
  • Certified Management Accountant (CMA), The Institute of Management Accountants, USA
  • Certified Fraud Examiner (CFE), Association of Fraud Examiners, USA
  • Certified Cost Accountant (ICWA), The Institute of Cost and Works Accountants of India, India
  • Project Management Professional (PMP), Project Management Institute
Dr. Srinivas, PhD., MSc., MBA, LLB, CMA, CPA, PMP

Learning Outcomes

Upon finishing the course, you will be able to:

  • 1

    Identify money laundering methods, financial crime risks, and suspicious activity indicators

  • 2

    Apply FATF recommendations, AML regulations, and international sanctions frameworks

  • 3

    Conduct KYC, customer due diligence, enhanced due diligence, and customer risk assessments

  • 4

    Investigate suspicious transactions and prepare structured SAR or STR documentation

  • 5

    Design and evaluate risk-based AML compliance programs, governance structures, and internal controls

  • 6

    Use AI-supported compliance tools, transaction monitoring systems, and analytical techniques while preparing confidently for the CAMS examination

  • objective-image

    Ready to get started?

  • KHDA Certificate

    Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

    Certifcate-Image0

    Learners Point Certificate

    Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

    Certifcate-Image1

    Prerequisites

    The eligibility requirements for the Anti Money Laundering Course in Kuwait are as follows:

    • Get an active ACAMS membership
    • Educational qualifications with a credit allocation of 10 for Associates, 20 for Bachelors, 30 for Masters and 40 for JD or PhD
    • Work experience, where each year contributes 10 credits. Training in financial-crime-related areas, with a credit earned for every hour of training

    Overall ratings by our students

    Related courses

    Frequently asked questions

    Yes. The course content is aligned with the latest CAMS examination blueprint. It covers financial crime risks, global anti-financial crime frameworks, compliance program development, and the tools and technologies used to prevent financial crime.

    This course is suitable for the following professionals:

    • AML Analysts
    • Compliance Officers
    • KYC Specialists
    • Sanctions Professionals
    • Transaction Monitoring Analysts

    It is also relevant to professionals working in banks, exchange houses, insurance companies, fintech businesses, payment service providers and virtual asset organizations.

    Yes. Professionals learn how to conduct customer identification, customer due diligence and enhanced due diligence. The course also covers beneficial ownership, ongoing monitoring, high-risk customers, politically exposed persons and customer risk-rating methodologies.

    AI-supported exercises help participants examine money laundering typologies, evaluate customer risks, review transaction patterns, organize investigation evidence and assess compliance frameworks. The course also introduces AI and machine-learning applications in onboarding, screening, transaction monitoring and investigations.

    Learners Point delivers a structured 32-hour CAMS preparation program that combines examination-focused instruction with practical compliance learning. Participants benefit from:

    • Eight Detailed Modules
    • Instructor Guidance
    • Case Studies
    • Mock Tests
    • **AI-Assisted Activities **

    Yes. Every module includes application-based learning through workshops, case studies, mock tests and compliance scenarios. Activities include customer risk profiling, regulatory framework comparison, AML program design, sanctions alert review and end-to-end financial crime investigations.

    Yes. The program provides structured coverage of AML fundamentals, customer due diligence, sanctions, transaction monitoring, investigations and compliance governance. It is suitable for professionals entering the AML field as well as those seeking to strengthen their existing compliance knowledge.

    The course provides 32 hours of structured training across eight CAMS-aligned modules. You will complete practical exercises, case studies, module-wise mock tests, investigation activities and AI-supported compliance tasks designed to improve your subject knowledge, analytical ability and examination confidence.

    Do you want to learn more about Learners Point Academy?

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