ACAMS Certification - Anti Money Laundering Course in Oman
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
4.8/54952 EnrolledEnrolled Learners
Overview
What you will master with us:
- Develop practical knowledge of anti-money laundering (AML), counter-terrorist financing (CTF), sanctions compliance, and wider financial crime risks
- Aligned with the latest CAMS examination blueprint
- Learn how to apply KYC, Customer Due Diligence, Enhanced Due Diligence, and beneficial ownership checks
- Covers FATF recommendations, international AML frameworks, sanctions regulations, and risk-based compliance controls
- Covers governmental and financial institution frameworks
- Explore AI-enabled compliance monitoring, RegTech solutions, digital identity, sanctions screening
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
- Analyze money laundering typologies and financial crime indicators using AI-assisted compliance research
- Generate structured AML concept summaries and revision notes
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
- Evaluate customer risk indicators and beneficial ownership structures
- Support customer due diligence documentation and risk classification
Activities/Case Study
- Enhanced due diligence assessment for high-risk customer onboarding
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
- Compare global AML regulations and FATF requirements
- Analyze international compliance obligations across jurisdictions
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
- Review AML governance structures and compliance frameworks
- Analyze enterprise risk assessment methodologies
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
- Review suspicious transaction patterns and investigation workflows
- Support SAR drafting and case documentation analysis
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
- Analyze sanctions screening results and transaction monitoring alerts
- Support suspicious activity identification and escalation decisions
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
- Organize investigation evidence and analyze transaction relationships
- Generate investigation timelines and reporting summaries
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
- 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
- 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
Learning Outcomes
Upon course completion, you will learn to:
1
Identify money laundering methods and financial crime risks across regulated industries
2
Apply KYC, CDD and EDD procedures based on customer risk levels
3
Interpret FATF recommendations, sanctions frameworks and global AML/CFT requirements
4
Investigate suspicious transactions and support accurate SAR or STR reporting processes
5
Use transaction monitoring, RegTech and AI-supported tools to strengthen AML compliance
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.
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Prerequisites
The eligibility requirements for the Anti Money Laundering Course in Oman are as follows:
- 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
The CAMS course is suitable for professionals working in:
- AML and regulatory compliance
- KYC and customer onboarding
- Transaction monitoring
- Sanctions screening
- Financial crime investigations
Yes. The program is structured around the current CAMS examination blueprint and covers the principal areas assessed in the certification.
The course provides focused attention to:
- Financial crime risks and methods
- Global AFC frameworks and regulations
- Anti-financial crime compliance programs
- Tools and technologies used to detect and prevent financial crime
The program begins with the foundations of money laundering and financial crime before progressing to advanced subjects such as governance, sanctions, investigations, and compliance technology.
Professionals who are new to AML can use the course to build structured knowledge. However, candidates planning to take the official CAMS examination should separately confirm the current eligibility, membership, and registration requirements with the certification body.
Anti Money Training can support professional development for roles such as:
- AML Analyst
- KYC Analyst
- Compliance Officer
- Transaction Monitoring Analyst
- Sanctions Screening Analyst
Learners Point offers a 32-hour CAMS Certification Training designed to build both examination readiness and practical anti-money laundering capability. The course follows the current CAMS examination blueprint and covers:
- KYC
- Customer Due Diligence
- Sanctions Compliance
- Transaction Monitoring
- Financial Crime Investigations
- AI-enabled Compliance Tools
Learners benefit from instructor-led learning, practical workshops, case studies, module-based mock tests, and an enterprise anti-financial crime simulation. With professional training experience since 2001, Learners Point supports participants in developing workplace-relevant AML skills and greater confidence in preparing for the CAMS examination.
Yes. The program introduces the responsible use of AI and RegTech in AML compliance. Professionals understand how technology can support customer onboarding, sanctions screening, transaction monitoring, network analysis, risk assessment, and investigation management. The course also explains that automated findings must be reviewed by qualified professionals before compliance decisions are made.
Do you want to learn more about Learners Point Academy?
- Learn more about courses
- Understand about our methodology
- Let’s talk about Corporate trainings
- Anything else that you want to know, we are here for you!
