CERTIFICATE PROGRAM

Become a Super Quant
Master Python, AI, and Finance

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.

400+
Video Hours
3,000+
Pages & Docs
600+
Jupyter Notebooks
7
Books Included
100k+
Lines of Code
24/7
Platform Access
Bundle
Limited-time bonus: The AI Engineer included
Certificate
On Completion
CPF visual collage

Python + Finance + AI = The Super Quant

Finance is being redefined by automation. The CPF curriculum turns ambitious analysts into Super Quants by merging deep market knowledge, fluent Python engineering, and cutting-edge AI literacy into a single, unified learning journey.

Financial Domain 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 holistic approach, from the basics of financial markets to concrete Python implementation, is unique.” — Andreas, Portfolio Manager
Duration 16-week guided cohorts or fully self-paced (typical completion within 12 months)
Access Indefinite platform access with continuous content updates and new live sessions
Format Video lessons, interactive notebooks, integrated books, quizzes, and community support
Final Project Graded research notebook reviewed by Dr. Hilpisch; required for the CPF certificate

Curriculum Overview

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 and HTML editions are fully integrated with the curriculum and updated alongside the 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.

Directed by Dr. Yves J. Hilpisch

Founder & CEO of The Python Quants and The AI Machine, creator of DX Analytics, and author of seven industry-defining books. Dr. Hilpisch brings two decades of quantitative finance and AI leadership to the CPF.

About the Director

Dr. Hilpisch pioneered Python for finance education and continues to innovate in AI learning in the era of GenAI with The AI Engineer. His conferences, bootcamps, keynotes, and publications shape the global conversation on AI-driven finance.

The CPF weaves his books, proprietary research, and live market experience into an actionable, career-defining program.

Dr. Yves J. Hilpisch

Who Joins the CPF?

The CPF attracts ambitious learners across finance, academia, and technology — all committed to mastering modern quantitative workflows and AI-enabled research. Delegates from more than 70 countries have already joined the program.

Students & Academics

Complement graduate-level studies with industry-grade projects, reproducible code, and a credential recognized by finance employers.

Finance Professionals

Upgrade your quant stack with Python and AI. Build production-ready models that deliver immediate business impact.

Career Changers

Transition into quantitative and AI-driven roles using guided projects, mentoring, and a capstone that showcases your capabilities.

🎥 Live cohort sessions and topical deep dives 2-3 times per week.
💬 24/7 user forum plus Discord for technical support, networking, and coaching.
🧠 Expert feedback on projects, code reviews, and strategy iterations.
🔁 Continuous releases of new notebooks, datasets, and AI tooling.

Capstone: The CPF Final Project

Earn the certificate by delivering an executable Jupyter Notebook structured as a research paper on a novel finance topic. You will defend assumptions, document methodology, and present results. Projects are graded directly by Dr. Hilpisch with detailed feedback to help you progress.

Learners on the CPF Experience

Delegates consistently report transformational gains in their quantitative careers after completing the CPF.

Without doubt the best study program I have ever participated in. The CPF has changed how I work.
— Artem
The holy grail of algorithmic trading education. Real code, real projects, and phenomenal support.
— Konstantinos
Five days in, and the value already exceeds the price. Incredible content and community.
— Eric
Customer service and materials are world-class. The CPF keeps me ahead of industry change.
— Vito

Why Wait? Join Now!

Secure your place in the Certificate in Python for Finance. Limited-time bonus: access to The AI Engineer is included. VAT is applied based on your tax status; choose the option that fits you best before completing payment.

CPF Bundle

€2,999

Includes indefinite Quant Platform access, all CPF modules, AI extensions, and future live cohort invitations.

Limited-time launch bonus: access to the brand-new The AI Engineer program is included.

Payment Options

Pay in full via Stripe or request an invoice for bank transfer at training@tpq.io.

Need a corporate package? Contact us for team enrollment, group discounts, and licensing.

Select VAT Status

Please select one option to enable checkout. Your choice updates the payment link automatically.

Proceed to Secure Checkout Inaugural The AI Engineer cohort begins on 3 Nov 2025; the next CPF cohort starts January 2026. Self-paced enrollment is available immediately. Get started at any time right away.

Disclaimer

Cancellations or refunds are not possible because delegates get full access to the complete electronic program materials (videos, HTML pages, PDFs, Jupyter Notebooks, Python code, etc.). The program resources are copyrighted and not allowed to be shared or distributed. The resources are instructional and illustrative only. They come with no warranties or representations, to the extent permitted by applicable law.

If you are a consumer residing in the EU/EEA, you may have a statutory right to withdraw from this distance contract within fourteen (14) days without giving any reason. To exercise the right of withdrawal, you must notify TPQ of your decision by an unequivocal statement (e.g., a letter or email). The withdrawal period will expire after 14 days from the day of conclusion of the contract.

Waiver for immediate access to digital content. If you request or consent to receiving access to the digital content before the end of the withdrawal period and acknowledge that you thereby lose your right of withdrawal, your right of withdrawal will be extinguished upon the start of access.

By signing up, you agree to our Privacy Policy and the Terms & Conditions.

Login credentials to the Quant Platform are sent shortly after payment (at most one German business day later), so you can get started with the program materials right away. Detailed joining instructions for live sessions, if there are any, will be sent in time before they start.