Generative AI and Python for Algorithmic Trading and Quantitative Finance

Build Trading Systems with emerging tools like Python, ChatGPT, and FinGPT

Pablo Instructor

Course Overview

The financial industry is undergoing a radical transformation with the integration of artificial intelligence (AI). Generative AI (GenAI), particularly FinGPT and ChatGPT, is playing a key role in this shift by automating data analysis, enhancing decision-making, and streamlining financial workflows. To leverage these tools effectively, proficiency in Python, the most widely used programming language for AI and finance, is essential.

Our live course on GenAI and Python for Algorithmic Trading is designed to empower finance professionals with hands-on programming skills and the ability to integrate advanced AI models into their financial operations. This course is not just about theory—it provides practical experience using Python to harness the full power of FinGPT and ChatGPT. Whether you are automating data-driven decisions, analyzing market sentiment, or building custom AI solutions, this course will give you the tools you need to excel.

Proficiently Use Python in Financial AI

Gain hands-on skills in using Python to implement FinGPT and CustomGPT for automating financial analysis, sentiment analysis, and report generation

Develop Tailored AI Solutions with Python

Learn how to build, train, and customize AI models using Python and apply them to your organization’s specific financial workflows

Navigate Ethical AI and Compliance Challenges

Understand the ethical implications of AI in finance and use Python to monitor AI models for compliance with regulations, ensuring responsible AI usage.

Who this course is for

  • Trading professionals looking to enhance their skills by integrating Python and AI-driven solutions.
  • Financial analysts who want to automate repetitive tasks like report generation and sentiment analysis.
  • Investment managers aiming to use Python and AI for improving decision-making and market forecasting.
  • Data scientists and technologists exploring the intersection of AI, finance, and programming.

This course includes:

  • 20 interactive live sessions
  • Direct access to instructor
  • Projects to apply learnings
  • Guided feedback & reflection
  • Private community of peers
  • Course certificate upon completion
Integrate Live Trading Models with Custom GPTs
Build a CustomGPT and integrate your trading model
Build a Robo Advisory
Create a robo advisory with FinGPT
Create a Capstone Project
Build your own trading model with live data

Course Curriculum

Module 1: Introduction to Generative AI in Finance
The course begins with an introduction to Generative AI and its role in transforming finance. You will also learn the fundamentals of Python programming as it applies to financial AI models like FinGPT and CustomGPT. This module covers why AI is needed in finance, the challenges it solves, and the essential Python libraries required for working with AI.

  • Introduction to AI in Finance
  • Overview of FinGPT and CustomGPT
  • Introduction to Python for Finance: Key Libraries (e.g., Pandas, NumPy, Scikit-learn)

Module 2: Mastering FinGPT with Python
FinGPT is an advanced AI model specifically designed for financial applications. In this module, you'll learn how to use Python to implement FinGPT for automating financial tasks, analyzing large datasets, and generating detailed financial reports. By the end of this module, you'll be proficient in using Python to conduct market research, process financial data, and generate actionable insights.

Module 3: CustomGPT – Tailoring AI for Finance Using Python
CustomGPT allows businesses to build personalized AI models using their proprietary data. This module focuses on how to use Python to train, customize, and deploy CustomGPT for specific financial tasks. You will learn how to train a CustomGPT model on your internal datasets and integrate it into your financial workflows using Python.

Module 4: Python for Automating Financial Workflows
One of the key advantages of using Python with FinGPT and CustomGPT is its ability to automate tedious, repetitive tasks. In this module, you will learn to use Python to automate financial reports, analyze earnings calls, and extract real-time market sentiment from news and social media data. This module also covers Python libraries like Pandas and BeautifulSoup for efficient data processing.

Module 5: Integrating AI Models into Financial Systems Using Python
For AI to deliver maximum value, it needs to integrate seamlessly with your organization’s existing infrastructure. This module focuses on using Python to connect FinGPT and CustomGPT models with financial platforms, databases, and APIs. You will learn how to use Python for API integration, automation pipelines, and managing data feeds in real-time.

Module 6: Ethical AI and Risk Management in Finance
As with any advanced technology, AI comes with ethical challenges and risks, particularly in a highly regulated industry like finance. This module will guide you through managing AI-related risks and ensuring ethical AI use in finance. You’ll also learn how to use Python to monitor AI model performance and manage compliance with financial regulations.

Capstone Project: Building a Custom AI Financial Solution with Python
The course concludes with a capstone project where participants will use Python to develop a custom financial solution utilizing FinGPT and CustomGPT. This hands-on project will allow you to apply everything you've learned by building and implementing a solution tailored to your own financial needs.

Tutor Certificate KU

What People are saying

It is impossible not learn with Pablo when he teaches something
OliverPerez
Oliver Perez Jaen
Data Analyst at Logicalis Spain
Pablo is very friendly, human and fun person to learn from
Manuel Ramon
Manuel Ramon
Attorney and CEO at Iddeass Digital Intelligence
Pablo is a great reference in the data community and a phenomenal teacher, capable to explain anything in a way that anybody can understand
CarlosMosquera
Carlos Mosquera
Data Manager at Cobre Panama
when he [Pablo Moreno] teaches, he makes simple the complex", IT Manager at PriceSmart Inc
Helmer Meneses
IT Manager at PriceSmart Inc.
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Learn directly from industry leaders and practitioners who bring real-world knowledge and experience into the course.
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Stay on track with clear goals and schedules, ensuring steady progress through regular milestones and deadlines.
Interactive Learning
Participate in live discussions, Q&A sessions, and collaborative projects that make learning dynamic and hands-on.

Frequently Asked Questions

What is the course about?

This course equips finance professionals with hands-on Python skills to integrate FinGPT, CustomGPT, and Generative AI models into financial workflows, improving data analysis, decision-making, and automation.

Who is this course for?

It’s ideal for finance professionals like traders, analysts, investment managers, and data scientists who want to harness AI in finance.

What prerequisites are needed?

Basic knowledge of Python and finance concepts is recommended, but not mandatory.

Is this course live or self-paced?

This is a live course starting in April 2025, with real-time instructor interaction and practical exercises.

How long is the course?

The course duration is 30 hours, delivered over 6 weeks.

What will I learn?

You will learn Python-based AI implementation, automating financial workflows, sentiment analysis, model training, integration, and ethical AI practices.

What tools and libraries are covered?

We cover Python libraries like Pandas, NumPy, Scikit-learn, and APIs for FinGPT and CustomGPT integration.

Will I work on a project?

Yes, you’ll complete a capstone project to build a custom AI financial solution using Python and FinGPT/CustomGPT.

Is there a certificate?

Yes, participants will receive a certificate upon successful course completion.

How much does the course cost?

The course is priced at $750.

Are scholarships or discounts available?

Discounts may be available for early sign-ups or group enrollments. We are working on a scholarship project. 

How can I enroll?

Just click on the Enroll Now button of our website. 

What support will I get?

You’ll have access to instructors, live Q&A sessions, and a community of peers for collaboration and support.

Why should I choose this course over others?

This course stands out by offering a practical, hands-on learning experience designed specifically for financial professionals. Unlike many generic AI courses, it focuses on leveraging cutting-edge tools like FinGPT and CustomGPT, empowering you to solve real-world financial challenges. The course is led by Pablo M, a seasoned expert in algorithmic trading and quantitative finance. Pablo brings years of industry experience and a deep understanding of Python, Generative AI, and their applications in finance, ensuring that you gain actionable insights and the skills needed to excel in your role. With a blend of theory, practice, and a capstone project, this course equips you with the knowledge to future-proof your career in a rapidly evolving industry.

$750.00
  • Level
    Intermediate
  • Total Enrolled
    4
  • Duration
    30 hours
  • Last Updated
    December 26, 2024
  • Certificate
    Certificate of completion