The Python Quants & Yves Hilpisch – Certifiacate in Python for Finance (CPF)
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.
1 Executive Overview
The Certificate in Python for Finance (CPF) is the flagship training program from
The Python Quants. It blends rigorous quantitative finance with modern Python, data
engineering, and AI. Directed by Dr. Yves J. Hilpisch, the CPF delivers:
• 400+ hours of video instruction and live cohort sessions.
• 3,000+ pages of structured HTML∕PDF material and seven published works.
• 600+ Jupyter notebooks and 100k+ lines of production-grade Python.
• Continuous updates, indefinite platform access, and community support.
2 Program Pillars
Financial Domain Expertise Derivatives, algorithmic trading, asset management, risk,
and portfolio construction with executable case studies.
Python-Engineering Best practices for testing, packaging, containers, and cloud
deployment tailored to reproducible finance workflows.
AI-Fluency Machine learning, reinforcement learning, NLP, and LLM integration for
research, automation, and decision support.
3 Program Scale and Structure
Metric Detail
Duration 16-week guided cohorts or fully self-paced (up to 12 months typical)
Access Indefinite Quant Platform access with ongoing updates
Format Video lessons, books, notebooks, quizzes, projects, community
Final Project Graded research notebook reviewed by Dr. Hilpisch
Bundle Bonus Limited time inclusion of The AI Engineer program
4 Learning Paths
16-Week Guided Cohort Structured timeline with live guidance and accountability.
Self-Paced (up to 12 months) Learn at your own speed with full resource access.
Flexible Enrollment Start anytime; combine cohort sessions with self-paced study.
5 Curriculum Overview
The curriculum is organized into four clusters. Each module ships with videos,
notebooks, datasets, and exercises.
5.1 Foundational Modules
• Finance with Python – integrated finance principles and idiomatic Python.
• Python for Finance Basics – NumPy, Pandas, vectorization, and tooling.
• Mathematics Basics – linear algebra, calculus, optimization, probability.
• Tools – Skills – Git, Docker, Linux, shell, packaging, and automation.
5.2 Core Applications
• Python for Algorithmic Trading – strategy design to deployment with monitoring.
• Python for Asset Management – portfolio optimization, factor models, risk
analytics.
• Python for Computational Finance – derivatives pricing with DX Analytics and
scenario testing.
5.3 Artificial Intelligence Track
• Data Science Basics – exploratory data analysis, statistics, visualization.
• AI in Finance – supervised∕unsupervised ML, model evaluation, production
workflows.
• Reinforcement Learning – agents for trading, hedging, and stochastic control.
• Natural Language Processing – transformers, sentiment, LLM orchestration.
5.4 Extensions & Add-Ons
• Crypto foundations: hashing, blockchain, DeFi, custody considerations.
• Algo trading with GenAI: code assistants, LLM copilots, and agentic tooling.
• Quant research clinics: live deep dives into new datasets, models, and
evaluation techniques.
Get Certifiacate in Python for Finance (CPF) or the other courses from the same one of these categories: Algorithmic Trading, Python for Finance, The Python Quants, Quant Trading, Yves Hilpisch, Course, Python, Quant for free on Download Courses.
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