Description
Master AI-Powered Trading & Unlock Profitable Strategies
Transform financial data into high-performance trading strategies with cutting-edge AI techniques. Designed for finance professionals, data scientists, and independent traders, this hands-on course takes you from foundational Python skills to advanced AI-driven market predictions.
What the Course Offers:
This cohort-based course is designed for finance professionals, software engineers, data scientists, and independent traders. Participants will learn to build and implement algorithmic trading systems using AI and Python, with a focus on practical, real-world applications.
Upcoming Cohort:
Next session: April 26 – June 26
Curriculum Breakdown
Module 1: Fundamentals of Python for Finance
Lesson 1 (Recorded) :
Practical coding exercise with Numpy for financial computations.
Lesson 2 (Live) :
Analysis of a portfolio of assets using Python.
Lesson 3 (Recorded) :
Introduction to forecasting and backtesting techniques.
Lesson 4 (Live) :
Hands-on session for applying forecasting and backtesting.
Lesson 5 (Recorded) :
Overview of generative AI and AI agents in finance.
Lesson 6 (Live) :
Building a multiagent system tailored for financial applications.
Lesson 7 (Recorded) :
Coding exercise using FinGPT for practical insights.
Lesson 8 (Live) :
Developing a working solution with FinGPT.
Module 2: GenAI Applied to Quant Finance and Algo Trading
Lesson 9 (Recorded) :
Review of algorithmic techniques, risk management, and scenario planning.
Lesson 10 (Live) :
Setting up a robust algorithmic trading strategy.
Lesson 11 (Recorded) :
Implementing generative AI models for trading decisions.
Lesson 12 (Live) :
Customizing AI solutions for algorithmic trading.
Lesson 13 (Recorded) :
Practical exercise on building a data transformation pipeline.
Lesson 14 (Live) :
Creating a pipeline to process and prepare market data.
Lesson 15 (Recorded) :
Using Python to ingest and manage data efficiently.
Lesson 16 (Live) :
Employing AI agents for automated data ingestion via APIs.
Who is this For ?
-
Finance Professionals
Analysts, traders & portfolio managers upgrading to AI-driven trading. -
Software Engineers
Developers breaking into quantitative finance. -
Data Scientists
Analysts specializing in financial modeling. -
Independent Traders
Automate strategies & enhance consistency.
Career Outcomes
- Quantitative Analyst $120K – $180K
- Algorithmic Trader $150K – $250K
- Quant Developer $130K – $200K
- Trading Team Lead $180K – $300K+
Instructor Information
Meet Your Instructor: Pablo M
Pablo M is an AI Product Manager and Data Scientist with extensive experience in finance, supply chain, and digital marketing. With a background that spans developing AI solutions for diverse industries and teaching at the university level, Pablo brings clarity and real-world insights to the course. He has authored courses and publications such as “Machine Learning in Power BI with R and Python,” ensuring that his students receive both theoretical and practical expertise.
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Description
Master AI-Powered Trading & Unlock Profitable Strategies
Transform financial data into high-performance trading strategies with cutting-edge AI techniques. Designed for finance professionals, data scientists, and independent traders, this hands-on course takes you from foundational Python skills to advanced AI-driven market predictions.
What the Course Offers:
This cohort-based course is designed for finance professionals, software engineers, data scientists, and independent traders. Participants will learn to build and implement algorithmic trading systems using AI and Python, with a focus on practical, real-world applications.
Upcoming Cohort:
Next session: April 26 – June 26
Curriculum Breakdown
Module 1: Fundamentals of Python for Finance
Lesson 1 (Recorded) :
Practical coding exercise with Numpy for financial computations.
Lesson 2 (Live) :
Analysis of a portfolio of assets using Python.
Lesson 3 (Recorded) :
Introduction to forecasting and backtesting techniques.
Lesson 4 (Live) :
Hands-on session for applying forecasting and backtesting.
Lesson 5 (Recorded) :
Overview of generative AI and AI agents in finance.
Lesson 6 (Live) :
Building a multiagent system tailored for financial applications.
Lesson 7 (Recorded) :
Coding exercise using FinGPT for practical insights.
Lesson 8 (Live) :
Developing a working solution with FinGPT.
Module 2: GenAI Applied to Quant Finance and Algo Trading
Lesson 9 (Recorded) :
Review of algorithmic techniques, risk management, and scenario planning.
Lesson 10 (Live) :
Setting up a robust algorithmic trading strategy.
Lesson 11 (Recorded) :
Implementing generative AI models for trading decisions.
Lesson 12 (Live) :
Customizing AI solutions for algorithmic trading.
Lesson 13 (Recorded) :
Practical exercise on building a data transformation pipeline.
Lesson 14 (Live) :
Creating a pipeline to process and prepare market data.
Lesson 15 (Recorded) :
Using Python to ingest and manage data efficiently.
Lesson 16 (Live) :
Employing AI agents for automated data ingestion via APIs.
Who is this For ?
-
Finance Professionals
Analysts, traders & portfolio managers upgrading to AI-driven trading. -
Software Engineers
Developers breaking into quantitative finance. -
Data Scientists
Analysts specializing in financial modeling. -
Independent Traders
Automate strategies & enhance consistency.
Career Outcomes
- Quantitative Analyst $120K – $180K
- Algorithmic Trader $150K – $250K
- Quant Developer $130K – $200K
- Trading Team Lead $180K – $300K+
Instructor Information
Meet Your Instructor: Pablo M
Pablo M is an AI Product Manager and Data Scientist with extensive experience in finance, supply chain, and digital marketing. With a background that spans developing AI solutions for diverse industries and teaching at the university level, Pablo brings clarity and real-world insights to the course. He has authored courses and publications such as “Machine Learning in Power BI with R and Python,” ensuring that his students receive both theoretical and practical expertise.