Deep Learning and AI in Sports
For data scientists, researchers, and analysts in football, basketball, and ice hockey who want to move from off-the-shelf models to decision-grade AI systems used inside clubs, research labs, and sports-tech companies.
Across eight weeks, you build a complete modern toolkit — Bayesian inference, causal
modelling, graph neural networks, reinforcement learning, and LLM-driven communication —
on real tracking and event data.
What makes this course different: every learner works alongside a team of purpose-built AI
agents trained on the course material, academic literature, and football context. The agents
help you think through problems, find the gap in existing work, sanity-check your modelling,
and translate your output into the formats clubs actually use: research papers, scouting tools, coaching reports, and live dashboards.
Course•By Pegah Rahimian
