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Become a financial crime prevention superhero with LGCA’s help! Pick up everything you need to know to join a company’s AML function and start fighting crime with your newfound knowledge and skills. The Certificate in AML provides participants with a thorough understanding of what constitutes Money Laundering (ML) and how financial institutions should respond to increasingly complex attempts by criminal individuals and entities to process proceedings from illegal activities in a manner that enables them to enjoy such illegal proceedings. Study method Online, self-paced Duration 25 hours Access to content 360 days Certification Certificate in Anti Money Laundering (AML) Additional info Exam(s) / assessment(s) is included in price Description About the Certificate Participants will investigate what is ML, what constitutes a risk-based approach in dealing with ML and the relevant policies and procedures that may be adopted by a financial institution as part of a coherent AML Strategy. In addition, participants will be provided with an overall assessment of international economic sanctions and how these are valuable tools in combating ML. The Certificate also offers participants, a practical perspective of how AML attempts have been formally incorporated and have led to the creation of legal frameworks that aim to prevent ML practices. The knowledge obtained by undertaking this Certificate is an invaluable asset for professionals that seek to enhance their career prospects in AML which is becoming an increasingly significant issue for financial institutions. Topics covered • Money laundering methods, techniques, red flags, key risk areas and compliance best practices & checklists • KYC and CDD: Beneficial ownership, money laundering risks in gatekeeper roles, politically exposed persons, and much more • Economic Sanctions and relevant frameworks • Vulnerabilities of Financial Institutions • Legal Framework for AML – A practical perspective • Case Studies and analysis Expected Learning Outcomes • Identify ML-related risks and dangers that need to be dealt with through a rigid AML strategy • Understand ML risk assessment and management and learn how to design a comprehensive AML risk-based approach • Review the relevant processes and procedures that need to be adopted as part of an AML strategy • Gain a practical perspective through a review of the relevant legal framework that covers AML • Understand the importance of sanctions and how these can be utilised as a tool to combat ML Format • Register at any time • Study in your own time and at your own pace (you have up to 3 months to complete the Certificate) • Assessed by an online multiple-choice exam What is included • 25 hours of self-paced online interactive learning including analysis of 5 practical case studies • 1-year free AGRC membership • Online Exam and AGRC Certificate Completion Requirements • Success in all the unit tests. Each unit is allocated two, three or four Multiple Choice questions (MCQs). In total 33 MCQs with a pass mark of 70% and an unlimited number of attempts. Each unit test is 10 minutes. • Success in the final test of 40 MCQs for the completion and award of the Certificate in Anti Money Laundering, issued by the Association of Governance, Risk and Compliance (AGRC). The pass mark is 70% and two attempts are permitted. The final test is 60 minutes. Who is this course for? Individuals who aspire to a career in AML, staff with specific anti-money laundering duties and staff working in financial services who want a comprehensive training in AML. No previous knowledge or experience is required although it is assumed that participants have good knowledge of English and a sound education background. Requirements No previous knowledge or experience is required though it is assumed that participants have good knowledge of English and sound educational background. Career path AML Officer, MLRO, Head of Back Office, Compliance Officer, Risk Manager, Manager, Director

Learn new Android APIs such as RoomDatabase, ML Kit for face recognition, Cloud Firestore, Firebase, Maps, and the Android Studio IDE (integrated development environment)

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Dive into the intricate world of deep learning with this sharply focused course on heuristic techniques using R. This programme is designed for learners keen to understand how heuristics shape machine learning models, particularly in deep neural networks. Whether you're brushing up on your algorithmic intuition or delving deeper into optimisation patterns, this course delivers a solid framework rooted in logic, not lingo. With R as your analytical companion, you'll explore neural computation, gradient-based strategies, backpropagation nuances, and heuristic-inspired adjustments that enhance model efficiency. This isn't about flashy tools or inflated claims — it's about getting your mind around how deep learning truly works, one clever calculation at a time. No fluff, no filler — just clear insights and well-paced learning to support your journey through the matrix of machine intelligence. Learning Outcomes: Develop an understanding of experimental design and how it applies to heuristics. Learn how to apply heuristics to real-world problems in the agriculture, cryptocurrency, energy, and financial markets sectors. Understand how to use R programming language for deep learning heuristics. Develop skills in analyzing data sets and creating predictive models. Learn how to implement different heuristics algorithms in R programming. The Essential Training on Deep Learning Heuristic using R is designed to provide students with a comprehensive understanding of heuristics and how they can be applied to various real-world problems. The course covers experimental design, data analysis, and predictive modelling using R programming language. Students will learn about different heuristics algorithms and how to implement them in R to solve complex problems in the agriculture, cryptocurrency, energy, and financial markets sectors. Throughout the course, students will work on various projects that will help them develop practical skills in analyzing data sets and creating predictive models. They will learn how to design experiments, collect and analyse data, and create models that can be used to make predictions. By the end of the course, students will have a strong understanding of heuristics, and deep learning, and how to apply them to solve real-world problems. Essential Training on Deep Learning Heuristic using R Course Curriculum Section 01: Experimental Design - Heuristics Project 1-Agriculture Section 02: Experimental Design - Heuristics Project 2-Cryptocurrencies Section 03: Experimental Design: Heuristics Project 3-Energy Sector Section 04: Experimental Design: Heuristics Project 4-Financial Markets How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data scientists who want to learn how to apply deep learning heuristics to solve real-world problems. Programmers who want to learn R programming language for data analysis and predictive modeling. Professionals in the agriculture, cryptocurrency, energy, and financial markets sectors who want to apply heuristics to solve complex problems. Students who want to learn about deep learning heuristics and how they can be applied to real-world problems. Anyone interested in developing practical skills in data analysis and predictive modelling using R programming language. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Deep Learning Engineer: £30,000 - £90,000 AI Researcher: £40,000 - £120,000 Data Scientist: £35,000 - £90,000 Machine Learning Engineer: £40,000 - £100,000 AI Architect: £50,000 - £150,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

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