In this course, you will learn about AI-powered applications that can enhance the customer journey and extend the customer lifecycle. You will learn how this AI-powered data can enable you to analyze consumer habits and maximize their potential to target your marketing to the right people. You will also learn about fraud, credit risks, and how AI applications can also help you combat the ever-challenging landscape of protecting consumer data. You will also learn methods to utilize supervised and unsupervised machine learning to enhance your fraud detection methods. You will also hear from leading industry experts in the world of data analytics, marketing, and fraud prevention. By the end of this course, you will have a substantial understanding of the role AI and Machine Learning play when it comes to consumer habits, and how we are able to interact and analyze information to increase deep learning potential for your business.

AI Applications in Marketing and Finance

AI Applications in Marketing and Finance
This course is part of AI For Business Specialization



Instructors: Michael R Roberts
Access provided by INEFOP - Instituto Nacional de Empleo y Formación Profesional de Uruguay
38,367 already enrolled
499 reviews
Skills you'll gain
- Customer Engagement
- Personalized Service
- Data-Driven Decision-Making
- Financial Data
- Data-Driven Marketing
- Digital Transformation
- Credit Risk
- Machine Learning
- Marketing Analytics
- Risk Modeling
- Risk Analysis
- AI Personalization
- Customer Insights
- Big Data
- Artificial Intelligence and Machine Learning (AI/ML)
- Driving engagement
- Machine Learning Methods
- Risk Management
- Applied Machine Learning
Tools you'll learn
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Reviewed on Mar 23, 2025
Excellent details about how AI and ML are applied to specific use cases.
Reviewed on Oct 8, 2023
Learned real-world application of AI/ML in Finance and the huge potential of more to come
Reviewed on Nov 12, 2025
Great content with real life examples and use cases. Very helpful for business professionals.
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