Numerical Python for AI & Finance

Numerical Computation

Linear Algebra, Calculus & SDEs from Scratch. Master the mathematical foundations of AI and Finance using high-performance Python.

The promise

Linear Algebra, Calculus & SDEs from Scratch. Master the mathematical foundations of AI and Finance using high-performance Python.

Included

Self-paced lessonsHands-on implementationCertificate of completion

What you'll master

Implement core LA algorithms (SVD, QR, Eigen-decomposition) from scratch

Understand sparse matrix optimization and compressed row storage

Leverage **NumPy** and **Polars** for vectorized math at scale

Earn a verifiable certificate

Finish the course and claim a shareable AlgoCracked credential with its own public verification page. Here's the certificate you'll earn:

AlgoCracked

Proof of applied skill

Sample certificate

This certifies that

Your Name

has completed the course

Numerical Python for AI & Finance

AwardedOn course completion

Issued

On completion

Credential ID

CERT-XXXXXXXX

Verify online

algocracked.com/certificate/CERT-XXXXXXXX

★

Preview

Prerequisites

basic programming fluency
comfort with technical self-study
willingness to complete implementation labs

THE FULL BRIEF

How the learning experience works

High-Performance Linear Algebra - Implement core LA algorithms (SVD, QR, Eigen-decomposition) from scratch Multivariate Calculus & Optimization - Master the implementation of modern optimizers (AdamW, Lion, SOAP) from first principles Stochastic Calculus & Random Simulation - Implement Brownian Motion, Ornstein-Uhlenbeck, and Ito's Lemma in code

Final Deliverable

The Path Simulator.