AI CERTs

AI in Finance

AI CERTs Team

Instructor: AI CERTs Team

Access provided by Vinnytsia National Technical University

2,635 already enrolled

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply AI to Financial Analysis: Analyze financial data using AI to generate insights, improve accuracy, and support better decisions.

  • Build Forecasting and Risk Models: Use AI techniques to predict trends, assess risks, and improve planning across financial scenarios.

  • Automate Finance Workflows Efficiently: Streamline reporting, compliance, and operations using automation to improve speed and efficiency.

  • Make Data-Driven Financial Decisions: Use AI insights to guide strategy, improve performance, and support key financial decisions.

Details to know

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Assessments

8 assignments

Taught in English

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There are 9 modules in this course

Introduces the fundamentals of Artificial Intelligence and its growing role in the financial sector. This module explores key AI concepts, applications in banking and financial services, automation of financial processes, and how AI is transforming decision-making, customer experiences, risk management, and operational efficiency.

What's included

9 videos1 assignment1 plugin

Explores how financial organizations use data analytics and AI-driven insights to improve decision-making. Learners will understand financial data sources, data analysis techniques, predictive insights, and the role of data-driven strategies in investment planning, risk assessment, and business performance optimization.

What's included

6 videos1 assignment1 plugin

Examines how AI is improving credit evaluation, lending processes, and customer risk assessment. This module covers AI-based credit scoring, automated loan approvals, alternative data analysis, personalized lending solutions, and the benefits and challenges of using AI in credit management.

What's included

6 videos1 assignment1 plugin

Explores the application of AI in identifying and preventing financial fraud. Learners will understand machine learning-based fraud detection methods, anomaly identification, transaction monitoring, cybersecurity applications, and how AI helps financial institutions strengthen security and compliance.

What's included

6 videos1 assignment1 plugin

Introduces the use of AI and machine learning techniques for financial market analysis and forecasting. This module covers predictive analytics, market trend analysis, algorithmic trading concepts, sentiment analysis, and the opportunities and limitations of AI in investment decision-making.

What's included

6 videos1 assignment1 plugin

Explores the integration of Blockchain and AI technologies in modern financial systems. This module covers decentralized finance, smart contracts, secure transactions, AI-powered blockchain applications, and how these technologies are reshaping transparency, efficiency, and trust in finance.

What's included

7 videos1 assignment1 plugin

Examines emerging technologies influencing the future of financial services, including Generative AI, automation, cloud computing, advanced analytics, and digital platforms. Learners will explore how these innovations are creating new opportunities and transforming financial operations and customer engagement.

What's included

7 videos1 assignment1 plugin

Provides practical guidance on adopting AI solutions within financial organizations. This module covers AI strategy development, implementation planning, governance, risk management, workforce readiness, and best practices for successfully integrating AI into financial workflows.

What's included

1 video1 assignment

What's included

9 videos

Instructor

AI CERTs Team
AI CERTs
62 Courses63,411 learners

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AI CERTs

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