MLOps Specialization

Using Machine Learning in Trading and Finance

With an emphasis on quantitative, pairs, and momentum trading, this course prepares students to create and backtest sophisticated trading strategies utilizing machine learning.

AI: Navigating Regulations & Standards

Explore global frameworks for the effective management of AI systems and learn the significance of ethical AI use.

Interpretable ml applications: Part 5

With an emphasis on fairness measurement methods, the course teaches students how to use the Aequitas Tool to identify bias in machine learning models.

Unsupervised, Deep and Reinforcement Learning: Introduction

Acquire an extensive understanding of reinforcement learning, deep neural networks, clustering, and dimensionality reduction to effectively address real-world machine learning challenges.

Prompt Engineering and Advanced ChatGPT

Gain an extensive understanding of the strategies for optimizing chatbot applications, integration with NLP/ML, and advanced ChatGPT prompting.