Released 2/2026
Taught by Diogo Resende
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 66 Lessons ( 7h 36m ) | Size: 2.2 GB
This hands-on course blends Python, LangChain, and investment theory to help you build an AI-powered finance app from scratch. Perfect for anyone looking to dive into fintech or level up their coding & AI skills.
What you’ll learn
How to use LangChain with OpenAI for financial applications
Set up API keys and access real market data
Fundamental and trading KPI analysis using Python
Build data pipelines for investment decision-making
Apply modern portfolio theory in code
Implement the Black-Litterman model in Python
Build an end-to-end AI-powered finance app
Translate financial insights into data-driven scripts
Curious how AI and finance come together in the real world? This course gives you hands-on experience building an AI-powered investment app using Python and LangChain.
You’ll start with the fundamentals: setting up LangChain, pulling in data, and learning the KPIs that matter. Then we’ll dive into financial theory like Modern Portfolio Theory and the Black-Litterman model, writing code to bring these concepts to life.
By the end, you’ll have a working finance app and the skills to talk confidently about AI, finance, and Python in interviews or at work. Whether you’re just dipping your toes into the fintech world or want to build smarter tools and advance your career, this course gets you there.
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