AI in Financial Modeling: Advanced Predictive Techniques

Course Overview

Home >Courses >AI in Financial Modeling: Advanced Predictive Techniques

Mentor Based

Program Syllabus

Module 1

About This Course

This 3-weeks program is designed for M.Tech and M.Sc students in computer science and IT, as well as professionals in the BFSI, analytics, and fintech sectors. It covers machine learning algorithms, neural networks, and natural language processing to interpret and predict financial outcomes. Through video lectures, hands-on labs, and live expert sessions, participants will learn to develop and implement AI models to drive financial decisions and strategies.

Module 2

Aim

The course aims to provide an in-depth understanding of how artificial intelligence can revolutionize financial modeling through enhanced decision-making and predictive analysis. The course aims to equip participants with the skills to apply AI in analyzing stock markets, assessing risks, and optimizing investment strategies.

Module 3

Program Objectives

Understand AI in Financial Contexts: Grasp the role of AI in financial modeling and decision-making.
Develop Predictive Models: Learn to create and use various AI-driven predictive models for financial analysis.
Practical AI Application: Gain hands-on experience in applying AI tools like Python, R, and TensorFlow to financial datasets.
Ethical and Regulatory Insights: Navigate the ethical and regulatory challenges of implementing AI in financial environments.

Module 4

Program Structure

Introduction to AI in Financial Modeling:
- Learn the foundations of financial modeling and the significant role AI plays in enhancing financial decision-making.
- Gain insights into AI technologies like machine learning and deep learning, and their applications in finance.
Data Management and Preprocessing:
- Understand the sources and management of financial data crucial for AI modeling.
- Explore data quality, preprocessing, and feature engineering techniques to prepare data for effective AI analysis.
Advanced Predictive Modeling Techniques:
- Dive into time-series forecasting using models like ARIMA and LSTM networks to predict market trends.
- Study risk management models, including credit risk modeling and market risk prediction, using AI.
Implementing AI Models:
- Learn about the integration of AI models with financial systems, including APIs and real-time data feeds.
- Address the challenges and solutions in deploying AI models within financial environments.
Ethics and Regulation:
- Discuss the ethical considerations and regulatory compliance issues relevant to AI in finance.

Module 5

Who Should Enrol?

Students: M.Tech, M.Sc in Computer Science, IT, and related fields.
Professionals: E0 & E1 level professionals in BFSI, analytics services, and fintech IT services, looking to enhance their skills in AI-driven financial strategies.

Module 6

Program Outcomes

Mastery of AI in Finance: Deep understanding of how AI can be applied in various financial contexts.
Analytical Skills Enhancement: Enhanced ability to analyze data and predict financial outcomes using AI.
Practical Model Development: Skills in developing and implementing AI models for real-world financial problems.
Readiness for AI Challenges: Preparedness to address ethical and regulatory issues in AI applications within the financial sector.

Module 7

Fee Structure

Discounted: ₹8499 | $112

We accept 20+ global currencies. View list →

Module 8

What You’ll Gain

Full access to e-LMS
Real-world dry lab projects
1:1 project guidance
Publication opportunity
Self-assessment & final exam
e-Certificate & e-Marksheet

Module 9

Join Our Hall of Fame!

Take your research to the next level with NanoSchool.

Module 10

Publication Opportunity

Get published in a prestigious open-access journal.

Module 11

Centre of Excellence

Become part of an elite research community.

Module 12

Networking & Learning

Connect with global researchers and mentors.

Module 13

Global Recognition

Worth ₹20,000 / $1,000 in academic value.

Module 14

Need Help?

We’re here for you!

(+91) 120-4781-217

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RAJKUMAR GUNTI rajkumar.gunti@gmail.com • 06/27/2025 at 6:02 pm

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Prediction of Protein Structure Using AlphaFold: An Artificial Intelligence (AI) Program

is important improve the video quality and integrate with subtitles

Antonio Mauceri • 07/04/2024 at 2:39 pm

View All Feedbacks →

Course Overview

Home >Courses >AI in Financial Modeling: Advanced Predictive Techniques

Mentor Based

Program Syllabus

Module 1

About This Course

Module 2

Aim

Module 3

Program Objectives

Understand AI in Financial Contexts: Grasp the role of AI in financial modeling and decision-making.
Develop Predictive Models: Learn to create and use various AI-driven predictive models for financial analysis.
Practical AI Application: Gain hands-on experience in applying AI tools like Python, R, and TensorFlow to financial datasets.
Ethical and Regulatory Insights: Navigate the ethical and regulatory challenges of implementing AI in financial environments.

Module 4

Program Structure

Introduction to AI in Financial Modeling:
- Learn the foundations of financial modeling and the significant role AI plays in enhancing financial decision-making.
- Gain insights into AI technologies like machine learning and deep learning, and their applications in finance.
Data Management and Preprocessing:
- Understand the sources and management of financial data crucial for AI modeling.
- Explore data quality, preprocessing, and feature engineering techniques to prepare data for effective AI analysis.
Advanced Predictive Modeling Techniques:
- Dive into time-series forecasting using models like ARIMA and LSTM networks to predict market trends.
- Study risk management models, including credit risk modeling and market risk prediction, using AI.
Implementing AI Models:
- Learn about the integration of AI models with financial systems, including APIs and real-time data feeds.
- Address the challenges and solutions in deploying AI models within financial environments.
Ethics and Regulation:
- Discuss the ethical considerations and regulatory compliance issues relevant to AI in finance.

Module 5

Who Should Enrol?

Students: M.Tech, M.Sc in Computer Science, IT, and related fields.
Professionals: E0 & E1 level professionals in BFSI, analytics services, and fintech IT services, looking to enhance their skills in AI-driven financial strategies.

Module 6

Program Outcomes

Mastery of AI in Finance: Deep understanding of how AI can be applied in various financial contexts.
Analytical Skills Enhancement: Enhanced ability to analyze data and predict financial outcomes using AI.
Practical Model Development: Skills in developing and implementing AI models for real-world financial problems.
Readiness for AI Challenges: Preparedness to address ethical and regulatory issues in AI applications within the financial sector.

Module 7

Fee Structure

Discounted: ₹8499 | $112

We accept 20+ global currencies. View list →

Module 8

What You’ll Gain

Full access to e-LMS
Real-world dry lab projects
1:1 project guidance
Publication opportunity
Self-assessment & final exam
e-Certificate & e-Marksheet

Module 9

Join Our Hall of Fame!

Take your research to the next level with NanoSchool.

Module 10

Publication Opportunity

Get published in a prestigious open-access journal.

Module 11

Centre of Excellence

Become part of an elite research community.

Module 12

Networking & Learning

Connect with global researchers and mentors.

Module 13

Global Recognition

Worth ₹20,000 / $1,000 in academic value.

Module 14

Need Help?

We’re here for you!

(+91) 120-4781-217

★★★★★

Generative AI and GANs

The mentor was supportive, clear in their guidance, and encouraged active participation throughout the process.

António Ricardo de Bastos Teixeira • 07/03/2025 at 10:02 pm

★★★★★

Urban Metabolism Modeling with AI

Thank you for the workshop.

Paula Noya Vázquez • 09/22/2025 at 2:00 pm

★★★★★

AI-Assisted Composite Materials Design

Excellent Presentation and Guidance in AI assisted design of composite materials by the mentor.

RAJKUMAR GUNTI rajkumar.gunti@gmail.com • 06/27/2025 at 6:02 pm

★★★★★

Prediction of Protein Structure Using AlphaFold: An Artificial Intelligence (AI) Program

is important improve the video quality and integrate with subtitles

Antonio Mauceri • 07/04/2024 at 2:39 pm

View All Feedbacks →

Explore

AI in Financial Modeling: Advanced Predictive Techniques

Course Overview

Program Syllabus

About This Course

Aim

Program Objectives

Program Structure

Who Should Enrol?

Program Outcomes

Fee Structure

What You&#8217;ll Gain

Join Our Hall of Fame!

Publication Opportunity

Centre of Excellence

Networking &#038; Learning

Global Recognition

Need Help?

Lead Instructor

Dr. Sarah Chen