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Gen AI for Fraud Detection Analytics 

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Gen AI for Fraud Detection Analytics
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Coursera 
Overview

Duration

2 hours

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Total fee

Free

Mode of learning

Online

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Credential

Certificate

Gen AI for Fraud Detection Analytics
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Coursera 
Highlights

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Gen AI for Fraud Detection Analytics
 at 
Coursera 
Course details

Skills you will learn
What are the course deliverables?
  • What you'll learn
  • Working with Generative AI, delve into email spam classification models, and explore ethical challenges in the field of Fraud Detection.
More about this course
  • 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.
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Gen AI for Fraud Detection Analytics
 at 
Coursera 
Curriculum

Advanced Fraud Detection using Generative AI

Gen AI for Fraud Detection Analytics

Introduction to Generative AI

Understanding Gen AI's part in Fraud Detection

Technological Advancements of Generative AI in Fraud Detection

Overview of the Project

Project Development

Data Collection and Pre-Processing

Setting-up LSTM Model

Setting-Up GAN Model Architecture

Ethical Challenges in Fraud Detection

Regulatory compliance and Privacy protection

Course Summary

Course Overview

How to Use Discussion Forums

Unleashing the Potential of Natural Language Processing (NLP)

Introduction to LSTM- A deatiled Explanation

Introduction to Generative Adversarial Networks- From core principles to diverse application

Unveiling Vital TensorFlow Keras Imports for GAN Development

Real world Application of Fraud Detection using GenAI

Practice Project

End Course Knowledge Check: Module Wrap Up and Assessment

Knowledge Check: Overview of Fraud detection and Generative AI

Knowledge Check: Email Fraud Detection using GAN model

Knowledge Check: Best Practices

How do you envision the integration of generative AI in fraud detection transforming the landscape of fraud prevention?

How can generative AI models like GANs (Generative Adversarial Networks) be effectively utilized to improve the accuracy of email spam classification?

What ethical challenges do you foresee in implementing AI-driven fraud detection systems, and how can these challenges be mitigated?

Gen AI for Fraud Detection Analytics
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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