Machine Learning and AI for Financial Professionals

Learn how to build pragmatic AI and ML applications with case studies in finance

MATLAB for Finance

Learn how to build financial applications with MATLAB and various toolboxes.

Anomaly Detection Workshop

Learn how to detect anomalies and outliers in cross-sectional and time series datasets using Data Science and ML techniques

Natural Language Processing Workshop

Understand key innovations in NLP and Neural Networks and how to build production-quality NLP applications

Deep Learning in Finance Workshop

Master deep-learning techniques and learn how to structure problems, design, build and test ML applications with Tensorflow, Keras and Pytorch

Stress testing in the age of Covid-19

Coming Soon

Synthetic data generation

Coming Soon

Privacy and Machine Learning in Finance

Coming Soon

Machine Learning for Asset Managers

Coming Soon

Responsible AI in Action Workshop

Coming Soon

Explainable AI in Finance Workshop

Coming Soon

Fundamentals of Deep Learning

Explore the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities.

Fundamentals of Accelerated Data Science with RAPIDS

Learn how to perform multiple analysis tasks on large datasets using RAPIDS, a collection of data science libraries that allows end-to-end GPU acceleration for data science workflows

Building Transformer-Based Natural Language Processing Applications

In this workshop, you’ll learn how to use Transformer-based natural language processing models for text classification tasks, such as categorizing documents.

Engineering Machine Learning Systems

In this course, we will discuss key aspects of the machine learning life cycle and how to move machine learning models into production.