This course is tailored for individuals seeking a fundamental understanding of AI and its practical applications in trading. This is a practice-oriented course that focuses on real-world data, Al techniques, and market insights. Participants will learn how Al models analyze financial data, predict market trends, and automate trading decisions. The course also covers geopolitical, economic, and policy-driven factors that influence financial markets and Al-based strategies.

This course is ideal for beginners and intermediate learners. While basic Python and trading knowledge is preferable, it is not mandatory. By the end of the course, learners will confidently apply AI beyond trading, leveraging its potential across diverse industries.

• Introduction to AI, Machine Learning & Trading Fundamentals 
• Data Collection, Pre-processing & Handling
• Python for Trading & AI 
• Mathematics for AI in Trading
• Machine Learning for Trading 
• Market & Trading Biases, Geopolitical & Economic Factors
• Natural Language Processing & Sentiment Analysis
• API Integration & Real-Time Trading Bots 

• Understand Al fundamentals and how they apply to trading
• Collect and pre-process real-time financial data
• Use Python and Al models for stock market analysis
• Analyze market biases, geopolitical & economic factors
• Build Al-based decision-making models for trading

• Implement automated trading strategies using Al

The course follows a hands-on, practice-oriented approach with real-world datasets, Al models, and live market data. Participants will work on interactive coding exercises, Al model implementations, and trading strategy analysis.