Graduate Certificate in AI-Based Fraud Detection on Blockchain

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The Graduate Certificate in AI-Based Fraud Detection on Blockchain is a cutting-edge program designed to equip learners with the essential skills needed to combat fraud in today's digital age. This course is of utmost importance as businesses increasingly rely on digital transactions, making them more vulnerable to fraud.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

With the rise of AI and blockchain technology, there is a growing demand for professionals who can leverage these tools to detect and prevent fraud. This certificate course is designed to meet this industry need, providing learners with a solid foundation in AI-based fraud detection techniques and blockchain technology. By the end of this course, learners will have gained practical experience in developing AI-based fraud detection models and implementing blockchain solutions to prevent fraud. These skills are highly sought after by employers, making this certificate course an excellent choice for career advancement in the fields of finance, technology, and data analytics.

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Unit 1: Introduction to Artificial Intelligence (AI) and Machine Learning (ML)
โ€ข Unit 2: Blockchain Technology and Smart Contracts
โ€ข Unit 3: Data Analysis and Visualization for Fraud Detection
โ€ข Unit 4: AI-Based Fraud Detection Techniques
โ€ข Unit 5: Blockchain-Based Fraud Detection Systems
โ€ข Unit 6: Anomaly Detection in Blockchain Transactions using AI
โ€ข Unit 7: Ethical and Legal Considerations in AI-Based Fraud Detection
โ€ข Unit 8: Real-World Applications and Case Studies in AI-Based Fraud Detection on Blockchain
โ€ข Unit 9: Advanced Topics in AI-Based Fraud Detection on Blockchain
โ€ข Unit 10: Capstone Project: Developing an AI-Based Fraud Detection System on Blockchain

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
GRADUATE CERTIFICATE IN AI-BASED FRAUD DETECTION ON BLOCKCHAIN
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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