Artificial Intelligence (AI) is rapidly reshaping the financial services landscape. From fraud detection and algorithmic trading to customer service chatbots and credit scoring, AI is at the heart of a new era in finance. This course is designed to give you a clear, practical understanding of how AI works, what it enables, and how it’s transforming the way financial institutions operate.

您将学到什么
Understand the core technologies behind AI and the central role of data in training AI systems.
Explore how AI is applied in financial services through use cases such as fraud detection, credit scoring, customer service, and algorithmic trading.
Critically assess the risks, limitations, and ethical considerations involved in using AI within the financial sector.
您将获得的技能
- Banking Services
- Data Management
- Unsupervised Learning
- Reinforcement Learning
- Natural Language Processing
- Data Ethics
- Financial Regulation
- Fraud detection
- AI Personalization
- Machine Learning
- Credit Risk
- FinTech
- Big Data
- Applied Machine Learning
- Deep Learning
- Financial Services
- Algorithms
- Artificial Intelligence
- Responsible AI
- Banking
- 技能部分已折叠。显示 9 项技能,共 20 项。
要了解的详细信息
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书

该课程共有4个模块
This module provides a foundational introduction to Artificial Intelligence and its transformative role in financial services. It also offers an overview of the course structure, highlighting key topics and how each module will build your understanding. You'll explore key AI technologies: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotics, and Expert Systems. These insights will prepare you to recognise how AI is reshaping financial operations, services, and decision-making processes.
涵盖的内容
4个视频6篇阅读材料1个作业4个插件
This module explores the vital role of data in Artificial Intelligence and the different learning methods that AI systems use to generate insights and predictions. You’ll examine key data types, the characteristics of big data, and the core machine learning paradigms used in financial applications.
涵盖的内容
6个视频9篇阅读材料1个作业4个插件
This module demonstrates how AI is applied across four core areas of financial services: fraud detection, credit scoring, customer service, and algorithmic trading. You’ll explore real-world use cases to understand how AI adds value, the models and data behind it, and the challenges institutions face when deploying these technologies.
涵盖的内容
5个视频9篇阅读材料1个作业4个插件
In this final module, you’ll consolidate your learning and apply your knowledge through a peer-reviewed written assignment. You’ll reflect on key concepts, revisit course highlights, and explore the real-world implications of AI in financial services.
涵盖的内容
1个视频4篇阅读材料1个作业1次同伴评审
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
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学生评论
- 5 stars
77.19%
- 4 stars
19.29%
- 3 stars
3.50%
- 2 stars
0%
- 1 star
0%
显示 3/57 个
已于 Jan 4, 2026审阅
Very good introduction for AI in Financial services. Excellent way of teaching and quizzes
已于 Dec 6, 2025审阅
I really enjoyed this course, interesting yet knowledgeable
已于 Oct 22, 2025审阅
Very Important information shared. However the number of modules could have been less with similar impact.
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Saïd Business School, University of Oxford

Saïd Business School, University of Oxford
¹ 本课程的部分作业采用 AI 评分。对于这些作业,将根据 Coursera 隐私声明使用您的数据。



