About Best Trave
Deep learning in finance - taught with precision
Best Trave delivers structured, research-grounded education for professionals applying machine learning to financial systems. Geography is not a barrier here.
Who we are
A platform built around one specific problem
01Best Trave was founded in 2015 to address a gap between academic machine learning research and its practical application in financial analysis.
02The curriculum focuses on neural network architectures - recurrent models, transformers, and reinforcement learning - applied directly to market data, risk modelling, and portfolio construction.
03Courses are designed for working analysts and quantitative researchers who need more than surface-level introductions to these methods.
9 Years delivering specialist finance ML education
14 Countries with active enrolled students
6 Core course tracks in deep learning for finance
38 Structured modules across the full curriculum
People behind the curriculum
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Tariq Osei-Bonsu Lead Instructor - Recurrent Networks & Time Series
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Liesl Ferreira Curriculum Designer - Risk Modelling Track
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Dariusz Kowalczyk Researcher - Transformer Architectures in Finance
How the platform operates
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Lectures are sequentially structured - each builds on the previous without assumed shortcuts.
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All examples use real financial datasets, not synthetic toy problems.
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Enrolment is open regardless of location - no regional restrictions apply.