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 Special Competitive Studies Project
38,123 already enrolled
499 reviews
Skills you'll gain
- Personalized Service
- Customer Engagement
- Consumer Behaviour
- Customer Insights
- Big Data
- Machine Learning
- Personalized Campaigns
- Data-Driven Decision-Making
- Driving engagement
- Financial Data
- Data-Driven Marketing
- Digital Transformation
- Machine Learning Methods
- Credit Risk
- Risk Management
- Applied Machine Learning
- AI Personalization
- Risk Modeling
- Marketing Analytics
Tools you'll learn
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Reviewed on Feb 24, 2023
Great real-world examples. Maybe more graphics to drive home the functions of AI and ML.Thanks
Reviewed on Nov 12, 2025
Great content with real life examples and use cases. Very helpful for business professionals.
Reviewed on Oct 8, 2023
Learned real-world application of AI/ML in Finance and the huge potential of more to come
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