Finance professionals handling planning, analysis, reporting, and financial operations.

Data scientists who apply statistical and ML techniques to extract insights from data.

Measuring and evaluating AI model performance, quality, and reliability for production use cases.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building, training, and deploying machine learning models — from classical ML to deep learning.

Using AI coding assistants and tools to write, review, and ship code faster.

Operating and deploying large language models in production — fine-tuning, inference, monitoring, and cost optimization.

Conduct rigorous, iterative research across the full trading pipeline, with a working codebase and nine case studies in different markets.

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