Gen AI for Fraud Detection Analytics
- Offered byCoursera
Gen AI for Fraud Detection Analytics at Coursera Overview
Duration | 2 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Gen AI for Fraud Detection Analytics at Coursera Highlights
- Earn a certificate from Edureka
- Add to your LinkedIn profile
Gen AI for Fraud Detection Analytics at Coursera Course details
- What you'll learn
- Working with Generative AI, delve into email spam classification models, and explore ethical challenges in the field of Fraud Detection.
- 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.
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
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Student Forum
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