ACAMS Certification - Anti Money Laundering Course in Bahrain
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
4.9/54808 EnrolledEnrolled Learners
Overview
What you will master with us:
- Develop practical knowledge of financial crime risk management and regulatory compliance
- Learn about FATF recommendations, international sanctions frameworks and AML governance structures
- Includes AI-enabled monitoring, screening, and risk analysis
- Gain practical KYC, CDD, EDD, and investigation skills
- Strengthens transaction monitoring and investigation capabilities
- Gain knowledge on AI-assisted compliance analysis and practical simulations
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
Successful completion of the course will help you to:
1
Identify money laundering and financial crime risks
2
Apply FATF standards and AML regulations
3
Conduct KYC, CDD, and EDD assessments
4
Investigate suspicious transactions and prepare regulatory reports (SARs)
5
Design effective AML governance and compliance controls
6
Use AI-enabled tools for compliance monitoring
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
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.
Prerequisites
The eligibility requirements for the Anti Money Laundering Course in Bahrain 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
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Frequently asked questions
Yes. The program is aligned with the CAMS examination blueprint outlined in the course curriculum. It covers financial crime risks, global anti-financial crime frameworks, compliance programme development, and technologies used to detect and prevent financial crime. Mock tests and exam-focused exercises are included to strengthen readiness.
As a recent graduate, the training will provide you with a solid understanding of anti-money laundering (AML) concepts, which are essential in today’s financial sector. Through this course, you will learn about legal obligations and practical approaches used to combat money laundering and terrorist financing. Earning this certification will give you specialised skills that banks and financial institutions highly value. It will also greatly enhance your CV, making you a strong candidate for entry-level roles in compliance, risk management, and financial security.
ACAMS training can support progression towards roles such as:
- AML Analyst
- KYC Analyst
- Compliance Officer
- Transaction Monitoring Analyst
- Sanctions Analyst
- Financial Crime Investigator
Learners Point has delivered professional training since 2001 and has supported more than 500,000 professionals. The ACAMS program combines:
- Expert-Led Instruction
- Practical Workshops
- Mock Tests
- AI-Assisted Compliance Activities
- Enterprise financial crime simulation
This approach helps participants strengthen workplace-ready AML skills while preparing for the CAMS certification examination.
AI-assisted activities are integrated throughout the course. Participants use AI-supported approaches to analyse money-laundering indicators, review customer risks, evaluate beneficial ownership structures, examine transaction-monitoring alerts, organise investigation evidence, and prepare structured compliance summaries. The program also addresses the responsible use of AI and RegTech within financial crime compliance frameworks.
The course begins with foundational concepts such as money laundering stages, financial crime risks, and AML principles before progressing to advanced compliance topics. Beginners can develop structured knowledge through the program, although prior exposure to banking, compliance, audit, risk, or financial services may support faster understanding.
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