Gen AI for Fraud Detection Analytics from Coursera

Welcome to the 'Unlocking the Power of Generative AI in Fraud Detection Analytics' course, where you'll embark on a transformative journey to acquire practical expertise in generative AI for fraud prevention.

Throughout this course, you'll delve into the world of AI-driven fraud detection, mastering the fundamentals and exploring real-world applications. By the end of this course, you will be able to:

- Gain a comprehensive understanding of generative AI in fraud detection.

- Utilize generative AI techniques, especially the LSTM and GAN model, for practical email fraud

detection projects, strengthening the capacity to employ AI in real-world fraud prevention scenarios.

- Grasp the key concepts of generative AI's role in fraud detection, encompassing ethical considerations and best practices for data handling, establishing a strong foundation in AI-driven fraud analytics.

This course is tailored for learners from diverse backgrounds, including data scientists, fraud analysts, AI enthusiasts, and professionals aiming to enhance their skills in fraud analytics. Prior experience in AI and fraud detection is beneficial but not required.

Embark on this educational journey to master Generative AI for Fraud Detection Analytics and elevate your expertise in fraud prevention.

What's inside

Syllabus

Advanced Fraud Detection using Generative AI

This short course is designed for learners to enhance their capabilities in the field of fraud detection. Throughout the course, participants embark on a journey that explores the innovative intersection of generative AI and fraud analytics. The curriculum covers essential topics, including the principles of generative AI, practical application in fraud detection scenarios, ethical considerations, and regulatory compliance. By combining theoretical knowledge, hands-on experiences, and real-world examples, learners gain the expertise to leverage generative AI effectively in fraud detection. Upon completion, students are equipped with the skills to detect fraud with precision, ensure ethical practices, and comply with regulatory standards, making them proficient in this evolving field.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores fraud detection, which is standard in the finance industry

Teaches the latest fraud detection techniques, such as LSTM and GAN models

Develops skills in fraud detection and AI, which are core skills for data scientists and fraud analysts

Taught by Edureka, who are recognized for their work in fraud detection training

Examines ethical considerations in fraud detection, which is highly relevant to data scientists and fraud analysts

Offers hands-on labs and interactive materials, which help learners apply their knowledge and skills

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Gen AI for Fraud Detection Analytics with these activities:

Practice Fraud Detection Scenarios with Generative AI

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Enhance your problem-solving abilities by applying generative AI techniques to real-world fraud detection scenarios.

Browse courses on Generative AI Applications

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Review various fraud detection scenarios
Identify potential fraudulent patterns
Develop and implement generative AI solutions

Show all one activities

Career center

Learners who complete Gen AI for Fraud Detection Analytics will develop knowledge and skills that may be useful to these careers:

Fraud Analyst

A **Fraud Analyst** is responsible for investigating cases of suspected fraud, developing fraud prevention measures, and advising organizations on fraud risk management strategies. This course will help you build a strong foundation in generative AI, which is an essential tool for fraud detection. You will learn about the different types of generative AI models, how to use them to detect fraud, and how to evaluate the effectiveness of your fraud detection models.

See salaries and explore the career path for Fraud Analyst

Data Scientist

A **Data Scientist** uses data to solve business problems. They use a variety of techniques, including machine learning, statistics, and data visualization, to analyze data and make predictions. This course will help you build a strong foundation in generative AI, which is a powerful tool for data analysis and prediction. You will learn about the different types of generative AI models, how to use them to solve business problems, and how to evaluate the effectiveness of your models.

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Machine Learning Engineer

A **Machine Learning Engineer** designs, builds, and deploys machine learning models. They work closely with data scientists and other engineers to ensure that machine learning models are accurate, efficient, and scalable. This course will help you build a strong foundation in generative AI, which is a powerful tool for machine learning. You will learn about the different types of generative AI models, how to use them to build machine learning models, and how to evaluate the effectiveness of your models.

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Risk Manager

A **Risk Manager** identifies, assesses, and mitigates risks. They work with businesses to develop and implement risk management strategies. This course will help you build a strong foundation in generative AI, which is a powerful tool for risk management. You will learn about the different types of generative AI models, how to use them to identify and assess risks, and how to develop and implement risk management strategies.

See salaries and explore the career path for Risk Manager

Security Analyst

A **Security Analyst** monitors and analyzes security data to identify and prevent security breaches. They work with businesses to develop and implement security measures. This course will help you build a strong foundation in generative AI, which is a powerful tool for security analysis. You will learn about the different types of generative AI models, how to use them to identify and prevent security breaches, and how to evaluate the effectiveness of your security measures.

See salaries and explore the career path for Security Analyst

Forensic Accountant

A **Forensic Accountant** investigates financial crimes, such as fraud, money laundering, and embezzlement. They work with law enforcement and other agencies to collect evidence and provide expert testimony. This course will help you build a strong foundation in generative AI, which is a powerful tool for forensic accounting. You will learn about the different types of generative AI models, how to use them to investigate financial crimes, and how to present your findings in a clear and concise manner.

See salaries and explore the career path for Forensic Accountant

Auditor

An **Auditor** examines financial records to ensure that they are accurate and complete. They work with businesses to identify and correct financial errors. This course will help you build a strong foundation in generative AI, which is a powerful tool for auditing. You will learn about the different types of generative AI models, how to use them to identify and correct financial errors, and how to evaluate the effectiveness of your audit procedures.

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Compliance Officer

A **Compliance Officer** ensures that businesses comply with laws and regulations. They work with businesses to develop and implement compliance programs. This course will help you build a strong foundation in generative AI, which is a powerful tool for compliance. You will learn about the different types of generative AI models, how to use them to identify and mitigate compliance risks, and how to develop and implement compliance programs.

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Business Analyst

A **Business Analyst** analyzes business processes to identify opportunities for improvement. They work with businesses to develop and implement solutions that improve efficiency and effectiveness. This course will help you build a strong foundation in generative AI, which is a powerful tool for business analysis. You will learn about the different types of generative AI models, how to use them to identify opportunities for improvement, and how to develop and implement solutions that improve efficiency and effectiveness.

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Project Manager

A **Project Manager** plans, executes, and closes projects. They work with teams to ensure that projects are completed on time, within budget, and to the required quality standards. This course may be helpful for Project Managers who are interested in using generative AI to improve their project management skills.

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Consultant

A **Consultant** provides advice and guidance to businesses on a variety of topics. They work with businesses to identify and solve problems, and to develop and implement solutions. This course may be helpful for Consultants who are interested in using generative AI to improve their consulting skills.

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Teacher

A **Teacher** teaches students in a classroom setting. They work with students to help them learn and develop. This course may be helpful for Teachers who are interested in using generative AI to improve their teaching skills.

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Writer

A **Writer** creates written content for a variety of purposes, such as marketing, journalism, and fiction. This course may be helpful for Writers who are interested in using generative AI to improve their writing skills.

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Researcher

A **Researcher** conducts research on a variety of topics. They work with researchers to design and conduct research studies, and to analyze and interpret data. This course may be helpful for Researchers who are interested in using generative AI to improve their research skills.

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Student

A **Student** is enrolled in a school or university to learn and develop. This course may be helpful for Students who are interested in learning about generative AI and its applications in fraud detection.

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Gen AI for Fraud Detection Analytics

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