Is this course suitable for banking and investment professionals?

Absolutely. It’s designed for finance professionals in banking, investment, wealth management, risk, and fintech.

Can AI help improve my portfolio management skills?

Yes. You’ll learn how AI models support diversification, trend forecasting, and algorithmic portfolio strategies.

Does the course cover algorithmic trading?

Yes, foundational concepts of AI-driven trading strategies are introduced through tools like QuantConnect.

Will I learn to detect financial fraud using AI?

You’ll explore AI-based anomaly detection, transaction monitoring, and compliance alignment for fraud prevention.

How is AI used in credit risk and loan decisions?

The course teaches scoring models, underwriting automation, and predictive indicators for safer credit evaluations.

Is this relevant for startup founders or business leaders?

Yes! Leaders can apply AI to budgeting, forecasting, due diligence, and data-backed decision making.

Does the program include hands-on practice with financial datasets?

Yes. Learners engage in guided exercises and tool-based tasks simulating real financial environments.

Does this course help me transition into an AI-focused finance role?

Yes. It builds foundational AI fluency to prepare you for emerging roles in digital finance and fintech innovation.

Will I learn about blockchain and AI together?

Yes. You’ll explore how AI and blockchain intersect in security, auditing, compliance, and smart financial systems.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

AI in Finance

AI in Finance

Instructor: AI CERTs Team

Included with

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8 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

8 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

AI-Powered Financial Analysis: Use AI for market insights, risk assessment, and smarter, data-driven financial decisions.
Predictive Modeling & Forecasting: Apply machine learning to forecast trends, detect anomalies, and strengthen investment strategies.
Fraud Detection & Compliance with AI: Leverage AI tools to flag suspicious activity, enhance fraud prevention, and support regulatory alignment.
Portfolio & Investment Optimization: Use tools like Sentieo, Magnifi, QuantConnect, and AlphaSense to automate research and improve performance.

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There are 8 modules in this course

AI for Finance is designed for finance professionals, analysts, and emerging leaders who want to apply artificial intelligence to financial decision-making, modeling, and strategy. This program focuses on real-world, high-impact use cases - credit scoring, fraud detection, algorithmic trading, risk assessment, and market forecasting using today’s most relevant AI platforms.

You’ll gain hands-on experience with industry tools like Sentieo, Magnifi, QuantConnect, and AlphaSense to automate analysis, enhance predictions, and optimize investment workflows. From data-driven credit evaluations to AI-assisted portfolio management and blockchain-enabled financial systems, you’ll learn how intelligent automation is transforming financial services at scale. The course blends practical analytics, predictive modeling, ethical AI usage, and digital transformation strategy to help professionals operate confidently in AI-powered finance environments. Whether you're modernizing operations, enhancing client advisory services, or preparing for future fintech roles, this program equips you to lead with AI. By the end, you’ll be able to integrate AI across budgeting, forecasting, compliance, investment strategies, and financial planning - improving accuracy, efficiency, and performance in fast-evolving markets.

This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.

What's included

13 videos3 readings1 assignment5 plugins

13 videos Total 193 minutes

Audiobook: Course Introduction 6 minutes
Course Introduction 4 minutes
Audiobook: Module 1: Introduction to AI and Its Impact on Finance 119 minutes
Podcast: Module 1: Introduction to AI and Its Impact on Finance 17 minutes
1.1 Understanding AI, Machine Learning, and Deep Learning 3 minutes
1.2 Key Applications of AI in Finance 4 minutes
1.3 Evolution of AI in the Financial Sector 6 minutes
1.4 Role of Data in Modern Finance 6 minutes
1.5 AI’s Impact on Financial Analysis and Forecasting 8 minutes
1.6 Personalization and Customer Experience in Finance 6 minutes
1.7 Automated and Algorithmic Trading 4 minutes
1.8 Risk Management and Compliance 5 minutes
1.9 Innovative Payment Solutions and Cybersecurity 5 minutes

3 readings Total 30 minutes

Hands on: 1 10 minutes
Hands on: 2 10 minutes
Hands on: 3 10 minutes

1 assignment Total 30 minutes

Quiz 1 30 minutes

5 plugins Total 75 minutes

EBook: Module 1: Introduction to AI and Its Impact on Finance 15 minutes
ACTIVITY: Timeline 15 minutes
ACTIVITY: Drag and Drop 15 minutes
ACTIVITY: Tab 15 minutes
ACTIVITY: Knowledge Check 15 minutes

What's included

11 videos1 reading1 assignment5 plugins

11 videos Total 170 minutes

Audiobook: Module 2: Data-Driven Decision-Making in Finance 116 minutes
Podcast: Module 2: Data-Driven Decision-Making in Finance 17 minutes
2.1 Types of Financial Data 5 minutes
2.2 Data Quality and Management 3 minutes
2.3 Ethical Considerations and Data Privacy 3 minutes
2.4 Financial Analytics Tools and Techniques 4 minutes
2.5 Deriving Insights from Financial Data 5 minutes
2.6 Visualization of Financial Data 3 minutes
2.7 AI in Investment Strategy and Asset Management 4 minutes
2.8 Enhancing Risk Management with AI 5 minutes
2.9 The Future of Finance: AI-driven Innovations 4 minutes

1 reading Total 10 minutes

Hands on 10 minutes

1 assignment Total 30 minutes

Quiz 2 30 minutes

5 plugins Total 75 minutes

EBook: Module 2: Data-Driven Decision-Making in Finance 15 minutes
ACTIVITY: Multiple Choice 15 minutes
ACTIVITY: Case Study 15 minutes
ACTIVITY: Carousel 15 minutes
ACTIVITY: Knowledge Check 15 minutes

What's included

11 videos2 readings1 assignment5 plugins

11 videos Total 159 minutes

Audiobook: Module 3: Enhancing Credit and Loans with AI 107 minutes
Podcast: Module 3: Enhancing Credit and Loans with AI 16 minutes
3.1 Traditional vs. AI-Enhanced Credit Scoring 5 minutes
3.2 Machine Learning Models in Credit Analysis 5 minutes
3.3 Challenges and Opportunities 5 minutes
3.4 The Role of AI in Loan Origination 5 minutes
3.5 AI-Driven Risk Assessment 4 minutes
3.6 Regulatory and Ethical Considerations 3 minutes
3.7 Personalized Loan Products 3 minutes
3.8 Enhancing Customer Engagement 3 minutes
3.9 The Future of AI in Lending 3 minutes

2 readings Total 20 minutes

Hands on: 1 10 minutes
Hands on: 2 10 minutes

1 assignment Total 30 minutes

Quiz 3 30 minutes

5 plugins Total 75 minutes

EBook: Module 3: Enhancing Credit and Loans with AI 15 minutes
Activity: True or False 15 minutes
ACTIVITY: Sequence Arrangement 15 minutes
ACTIVITY: Tab 15 minutes
ACTIVITY: Knowledge Check 15 minutes

What's included

11 videos1 reading1 assignment5 plugins

11 videos Total 182 minutes

Audiobook: Module 4: Fraud Detection in Finance with AI 120 minutes
Podcast: Module 4: Fraud Detection in Finance with AI 16 minutes
4.1 Types and Trends in Financial Fraud 4 minutes
4.2 Challenges in Traditional Fraud Detection 5 minutes
4.3 Regulatory Frameworks and Compliance 4 minutes
4.4 Principles of AI in Detecting Fraud 5 minutes
4.5 Machine Learning Models for Fraud Detection 6 minutes
4.6 Real-time Detection and Prevention 6 minutes
4.7 Advanced Analytics and Predictive Models 5 minutes
4.8 Ethical Considerations and Bias in AI Models 5 minutes
4.9 Preparing for the Future of Fraud Detection 6 minutes

1 reading Total 10 minutes

Hands on 10 minutes

1 assignment Total 30 minutes

Quiz 4 30 minutes

5 plugins Total 75 minutes

Ebook: Module 4: Fraud Detection in Finance with AI 15 minutes
ACTIVITY: Drag and Drop 15 minutes
ACTIVITY: Case Study 15 minutes
ACTIVITY: Multiple Select 15 minutes
ACTIVITY: Knowledge Check 15 minutes

What's included

11 videos1 reading1 assignment5 plugins

11 videos Total 163 minutes

Audiobook: Module 5: Forecasting Stock Market with AI 110 minutes
Podcast: Module 5: Forecasting Stock Market with AI 15 minutes
5.1 The Basics of Stock Market and Trading 4 minutes
5.2 Traditional vs. AI-Driven Stock Analysis 4 minutes
5.3 Data Sources for AI in Stock Market Analysis 4 minutes
5.4 Machine Learning Models for Stock Prediction 8 minutes
5.5 Sentiment Analysis in Financial Markets 3 minutes
5.6 Algorithmic Trading and AI 4 minutes
5.7 Overcoming Challenges in AI-Powered Forecasting 4 minutes
5.8 Ethical and Regulatory Considerations 4 minutes
5.9 The Future of AI in Stock Market Analysis 3 minutes

1 reading Total 10 minutes

Hands on 10 minutes

1 assignment Total 30 minutes

Quiz 5 30 minutes

5 plugins Total 75 minutes

Ebook: Module 5: Forecasting Stock Market with AI 15 minutes
Activity: Accordion 15 minutes
ACTIVITY: Hotspot 15 minutes
ACTIVITY: Multiple Choice 15 minutes
ACTIVITY: Knowledge Check 15 minutes

What's included

11 videos1 reading1 assignment5 plugins

11 videos Total 160 minutes

Audiobook: Module 6: Blockchain and AI: Revolutionizing Finance 106 minutes
Podcast: Module 6: Blockchain and AI: Revolutionizing Finance 17 minutes
6.1 Blockchain Fundamentals 3 minutes
6.2 Blockchain Applications in Finance 5 minutes
6.3 Advantages and Challenges 3 minutes
6.4 Enhancing Blockchain with AI 4 minutes
6.5 AI and Blockchain for Data Analysis 4 minutes
6.6 Innovations at the Intersection of AI and Blockchain 5 minutes
6.7 The Future Landscape of Finance with AI and Blockchain 4 minutes
6.8 Ethical and Regulatory Challenges 4 minutes
6.9 Preparing for the Future 4 minutes

1 reading Total 10 minutes

Hands on 10 minutes

1 assignment Total 30 minutes

Quiz 6 30 minutes

5 plugins Total 75 minutes

Ebook: Module 6: Blockchain and AI: Revolutionizing Finance 15 minutes
ACTIVITY: Multiple Select 15 minutes
ACTIVITY: Case Study 15 minutes
ACTIVITY: Drag and Drop 15 minutes
ACTIVITY: Knowledge Check 15 minutes

What's included

11 videos1 assignment5 plugins

11 videos Total 163 minutes

Audiobook: Module 7: Emerging Technologies and Their Impact on Finance 106 minutes
Podcast: Module 7: Emerging Technologies and Their Impact on Finance 21 minutes
7.1 Overview of FinTech Evolution 7 minutes
7.2 Big Data and Analytics in Finance 3 minutes
7.3 Internet of Things (IoT) in Finance 4 minutes
7.4 Quantum Computing and Finance 3 minutes
7.5 AI and Machine Learning - Beyond the Basics 4 minutes
7.6 The Role of Robotics and Automation in Finance 3 minutes
7.7 Creating a Technology-Driven Finance Ecosystem 4 minutes
7.8 Ethical, Security, and Regulatory Considerations 3 minutes
7.9 Preparing for the Future of Finance 6 minutes

1 assignment Total 30 minutes

Quiz 7 30 minutes

5 plugins Total 75 minutes

Ebook: Module 7: Emerging Technologies and Their Impact on Finance 15 minutes
ACTIVITY: Hotspot 15 minutes
ACTIVITY: Popup 15 minutes
ACTIVITY: Drag and Drop 15 minutes
ACTIVITY: Knowledge Check 15 minutes

What's included

12 videos1 reading1 assignment5 plugins

12 videos Total 164 minutes

Audiobook: Module 8: Implementing AI Strategies in Finance 101 minutes
Podcast: Module 8: Implementing AI Strategies in Finance 19 minutes
8.1 Strategic Planning for Digital Transformation 5 minutes
8.2 Leveraging Data for Strategic Advantage 4 minutes
8.3 Navigating the Technology Landscape 3 minutes
8.4 Integrating AI into Financial Operations 5 minutes
8.5 The Future of Work in Finance 3 minutes
8.6 Innovation and Continuous Improvement 5 minutes
8.7 Anticipating Technological Disruptions 5 minutes
8.8 Sustainable and Ethical Finance 4 minutes
8.9 Vision for the Future of Finance 6 minutes
Course summary 4 minutes

1 reading Total 10 minutes

Hands on 10 minutes

1 assignment Total 30 minutes

Quiz 8 30 minutes

5 plugins Total 75 minutes

Ebook: Module 8: Implementing AI Strategies in Finance 15 minutes
ACTIVITY: Flip Card 15 minutes
ACTIVITY: Multiple Choice 15 minutes
ACTIVITY: Case Study 15 minutes
ACTIVITY: Knowledge Check 15 minutes

Instructor

AI CERTs Team

AI CERTs

49 Courses 14,663 learners

Offered by

AI CERTs

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Frequently asked questions

No. A basic understanding of finance concepts is helpful, but the course is designed for non-technical and technical learners alike.

You’ll work with leading platforms like Sentieo, Magnifi, QuantConnect, and AlphaSense for research, modeling, and portfolio insights.

Yes. The course focuses on practical application-risk assessment, forecasting, fraud detection, and investment analysis.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.