Become a Quant Algorithmic Trading with Python and AI (2026)

This course is built from years of real-world experience solving one recurring problem: students want to build real trading bots, but get stuck between theory, complex APIs, and fragmented resources. In Become a Quant, I guide you step by step through the exact workflow used by professional quant developers—from Python fundamentals to machine learning, AI-assisted coding, and live-trading preparation on QuantConnect. Instead of overwhelming you with unnecessary theory, I focus on practical problem-solving: how to structure a trading algorithm, how to avoid common QuantConnect mistakes, how to debug, backtest, and improve strategies efficiently, and how to use AI tools as a productivity multiplier rather than a shortcut. Every concept is explained through clear examples, real trading logic, and progressive projects, so you always understand why you are doing something—not just what to type. By the end of the course, you won’t just “know Python” or “know QuantConnect” — you’ll be able to design, test, and prepare professional-grade algorithmic trading systems across multiple asset classes.