
Certificate In Python For Finance CPF Program By Dr. Yves J. Hilpisch – Free Download Course
The Certificate in Python for Finance (CPF) is the most comprehensive, practice-first program for mastering quantitative finance with Python and modern AI. Led by Dr. Yves J. Hilpisch, founder & CEO of The Python Quants, the CPF combines premium video lessons, integrated books, hands-on notebooks, and a vibrant community to help you build elite, reproducible skill sets.
✅ About This Bundle:
✅ Course Author: Dr. Yves J. Hilpisch
✅ Official Course Price: 2999 EUR
✅ Free For Our VIP Members? : Yes
✅ Download Links : Mega & Google Drive
✅ Updatable? : Yes, all future updates included.
✅ Sales Page : You can check at the bottom of this page.

🏆 Here’s What You Get & Learn With This Course:
Expertise
Build a rigorous understanding of derivatives, asset management, quantitative trading, and modern portfolio theory. Apply each concept immediately in fully documented Python case studies.
Python & Engineering Skills
Master Python for production-grade finance workflows: data pipelines, testing, packaging, containers, and cloud deployments. Everything is reproducible with static datasets and versioned code bases.
AI, ML & LLM Mastery
Learn machine learning, reinforcement learning, NLP, and LLM tooling tailored to financial applications. Harness AI assistants as coding force-multipliers to accelerate your research and execution.
The CPF curriculum spans foundational finance, advanced quantitative applications, and dedicated AI training. Every module combines theory, code, and replicable projects.
Foundational Modules
1
Finance with Python
Core finance principles and Python fluency taught side-by-side for rapid application.
2
Python for Finance Basics
Idiomatic Python foundations, NumPy, Pandas, and performance tooling for finance.
3
Mathematics Basics
Linear algebra, calculus, optimization, and statistics for quantitative modeling.
4
Tools & Skills
Git, Docker, Linux, Shell, cloud setup, and best practices for reproducible research.
Core Applications
1
Python for Algorithmic Trading
Strategy design to deployment with monitoring, logging, and cloud automation.
2
Python for Asset Management
Portfolio construction, optimization, and risk analytics with reproducible notebooks.
3
Python for Computational Finance
Derivatives pricing and DX Analytics with extensive scenario analysis tooling.
Artificial Intelligence Track
1
Data Science Basics
EDA, statistical testing, and visualization to accelerate research workflows.
2
AI in Finance
Machine learning fundamentals, feature engineering, and AI workflows for finance.
3
Reinforcement Learning
RL agents for trading, risk control, and simulation-based decision making.
4
Natural Language Processing
Transformer architectures, sentiment models, and LLM applications in finance.
Extensions & Add-Ons
1
Crypto Foundations
Blockchain, hashing, encryption, and mining concepts for digital asset finance.
2
Algo Trading with GenAI
Leverage AI coding assistants and LLM agents to accelerate strategy development.
3
Quant Research Clinics
Live sessions exploring new models, datasets, and platform releases.
Your Integrated Quant Platform
The Quant Platform centralizes every CPF resource. Videos, notebooks, AI assistants, books, and community support are one click away — optimized for speed, reproducibility, and experimentation.
🎥
Video Library & Summaries
Access hundreds of hours of recorded sessions with AI-generated summaries and chapters for rapid review.
💾
Execution-Ready Code
Launch notebooks instantly in the browser. No setup required — all data and environments are preconfigured.
🤖
AI Assistant
Ask detailed questions about CPF videos, books, and notebooks. Receive precise answers grounded in proprietary content.
🔍
Full-Text Search
Search across transcripts, slides, and codebases to jump directly into the exact resource you need.
🧩
Interactive Practice
Sharpen NumPy, Pandas, and ML skills via quizzes and exercises curated for financial problem solving.
🌐
Global Forum
Collaborate with peers, receive feedback from experts, and stay current with new releases and live sessions.
📓
Quizzes & Exercises
YN checks, MCQs, focused drills, and full test projects with concise tutorials that reinforce central Python and quant topics.
📝
Smart Note Taking
Create searchable, time-stamped notes while watching videos so you can resume exactly where you left off.
Books Included in the Program
Every CPF enrollment unlocks the complete digital library of Dr. Hilpisch’s finance and AI catalog. Downloadable PDFs are fully integrated with the curriculum of the CPF Program.
Python for Finance (2nd Ed.) cover
Python for Finance (2nd Ed.)
O’Reilly — foundations of data-driven finance with Python.
Python for Algorithmic Trading cover
Python for Algorithmic Trading
O’Reilly — systematic trading strategies from idea to deployment.
Artificial Intelligence in Finance cover
Artificial Intelligence in Finance
O’Reilly — ML, DL, and AI pipelines tailored to markets.
Reinforcement Learning for Finance cover
Reinforcement Learning for Finance
O’Reilly — RL agents for trading, hedging, and risk control.
Financial Theory with Python cover
Financial Theory with Python
O’Reilly — quantitative finance theory implemented in code.
Derivatives Analytics with Python cover
Derivatives Analytics with Python
Wiley — pricing, risk analytics, and DX Analytics workflows.
Listed Volatility & Variance Derivatives cover
Listed Volatility & Variance Derivatives
Wiley — advanced volatility modeling and implementation.
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For more info about this course, check out the sales page.




