GenAI for Quantitative Finance & Control Implementation

  • BeginnerLevel

  • 3316+Students Enrolled

  • 1 HrDuration

  • 4.8Average Rating

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About this Course

  • Explore GenAI’s role in quantitative finance for trading, risk management, and predictive modeling.
  • Learn sentiment analysis and time-series forecasting to predict market trends and commodity prices.
  • Develop AI-driven trading algorithms using financial news data for robust trading signals

Learning Outcomes

AI-Driven Trading

Develop GenAI-powered trading algorithms for finance.

Market Trend Analysis

Use sentiment analysis to predict financial market trends.

Forecasting Strategies

Apply time-series models to predict commodity prices.

Who Should Enroll

  • Finance professionals & analysts seeking to apply AI for advanced financial modeling & decision-making.
  • Traders & data scientists looking to enhance algorithmic trading, risk management & predictive analytics
  • Tech enthusiasts & students eager to explore AI's role in finance & develop AI-driven trading strategies.

Course Curriculum

Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.

toolstools

  1. 1. Introduction

  2. 2. Overview to Problem

  3. 3. Problem Definition: Commodity Price Prediction "Architecture ", "Hands-On "

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Sidharth Kumar

Principal Data Scientist, Intuit

Sidharth Kumar, Principal Data Scientist at Intuit, drives AI integration into QuickBooks and TurboTax. He previously led data science at Flipkart and worked as a Quant at Goldman Sachs.

Get this Course Now

With this course you’ll get

  • 1 Hour

    Duration

  • Sidharth Kumar

    Instructor

  • Beginner

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility
certificate

Frequently Asked Questions

Looking for answers to other questions?

You’ll explore AI in trading, risk management, and portfolio optimization, with practical examples of AI-driven finance solutions.

Yes, you'll work with Python-based AI tools and machine learning techniques directly applied to finance problems.

The course teaches how to implement and maintain reliable AI models, focusing on risk mitigation and performance optimization.

You'll design trading algorithms, test risk models, and apply GenAI techniques to real-world financial challenges.

You’ll gain cutting-edge AI skills in finance, positioning you for roles like quant analyst, data scientist, or AI strategist.

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