Description
Curriculum
Instructor
https://www.coursera.org/learn/ai-financial-services
Course Overview
| Item | Description |
|---|---|
| Course Title | AI Fundamentals in Financial Services |
| Institution | Saïd Business School, University of Oxford |
| Platform | Coursera |
| Instructor | Martin Schmalz |
| Level | Beginner (No coding required) |
| Delivery Type | Self-paced, Online |
| Certificate | Shareable Certificate available |
| Certificate Fee | Paid (Certificate purchase or Coursera Plus subscription) |
| Access to Content | Free to audit (no certificate) / Paid for certificate |
| Duration | ~1 week (at 10 hours/week recommended) |
| Effort Required | ~10 hours total |
| Prerequisites | None (basic finance interest helpful) |
| Languages | English + multiple (7+ languages available) |
| Rating | ⭐ 4.7/5 (≈48 reviews) Coursera |
2. Learning Outcomes
| No. | Learning Outcome |
|---|---|
| 1 | Understand core AI technologies and their transformative role in financial services. Coursera |
| 2 | Explore how AI applies to key financial service areas like fraud detection and credit scoring. Coursera |
| 3 | Critically evaluate risks, limitations, and ethical considerations of AI in finance. Coursera |
| 4 | Gain foundational literacy in machine learning, NLP, and data-driven AI decisions. Coursera |
| 5 | Connect AI innovations to real-world financial workflows and strategy. Coursera |
3. Course Modules (Section Breakdown)
| Module # | Module Title | Topics Covered | Main Activities |
|---|---|---|---|
| 1 | Fundamentals of AI | Intro to AI tech, machine learning, deep learning, NLP basics | Videos, readings, assignment |
| 2 | Data and AI Learning Methods | Role of data, big data, supervised & unsupervised learning | Videos, readings, assignment |
| 3 | Applying AI in Financial Services | AI use cases in fraud, credit scoring, customer service, trading | Videos, readings, assignment |
| 4 | Review & Reflection | Consolidation, peer-review assignment, real-world implications | Video, readings, written assignment |
(Module details adapted from course content listing) Coursera
4. Course Materials
| Material Type | Description |
|---|---|
| Video Lectures | Expert-led videos introducing concepts |
| Readings | Supplementary articles & case insight texts |
| Quizzes/Assignments | Short module tasks |
| Peer-Reviewed Assignment | Reflection & application submission |
| Assessments | Graded work for certification |
(Data from official course page) Coursera
5. Skills Gained
| Category | Skills |
|---|---|
| Financial AI | AI fundamentals in finance |
| Machine Learning | ML basics, supervised/unsupervised methods |
| NLP | Natural language processing concepts |
| Risk & Ethics | Ethical AI use in financial services |
| Big Data | Big data insights for finance |
| Decision-Making | Data-driven AI applications |
(Skills listed on course page) Coursera
6. Assessment Structure
| Component | Weight / Importance |
|---|---|
| Module Assignments | Core |
| Quizzes | Moderate |
| Peer Reviewed Assignment | High |
| Participation | Optional |
(Coursera standard assessment mix) Coursera
7. Certificate Information
| Item | Description |
|---|---|
| Issuer | Coursera & Saïd Business School, University of Oxford |
| Verification | Digital certificate with unique verification URL |
| Format | Digital, shareable certificate |
| Add to LinkedIn | Yes |
| Credential Type | Professional Certificate |
(Coursera certificate info) Coursera
8. Who This Course Is For
| Category | Description |
|---|---|
| Finance Professionals | Beginners seeking AI understanding |
| FinTech Enthusiasts | Those interested in AI use cases |
| Business Leaders | Strategic tech decision makers |
| Policy Makers | People assessing AI risk/regulation |
| Students | Learners exploring AI + finance |
(Based on course audience and topic) Coursera
9. Tools & Technologies Used
| Category | Tools / Topics |
|---|---|
| AI Concepts | Machine learning, deep learning |
| Data Tech | Big data analytics |
| NLP Methods | Text processing techniques |
| Financial Applications | Fraud detection, credit scoring |
| Ethical Frameworks | AI risk & governance |
(Topics covered in course) Coursera
10. Summary
AI Fundamentals in Financial Services is a beginner-friendly online course by Saïd Business School, University of Oxford on Coursera. It gives a practical introduction to how artificial intelligence works and how it’s used in financial services sectors like fraud detection, credit scoring, and automated service delivery. The course includes foundational AI theory, data methods, real use cases and a consolidation module with a peer-review assignment, and offers a shareable certificate upon completion.
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