Detecting COVID-19 with Chest X-Ray using PyTorch

Applications of TinyML

Gain an extensive understanding of TinyML applications, fundamental principles, and the ethical development of artificial intelligence.

MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure ML

The material equips data engineers to incorporate machine learning models into pipelines while adhering to best practices in collaboration, version control, and artifact management.

Models and Platforms for Gen AI

An insightful introduction of the foundational models, generative AI concepts, and their applications on a variety of platforms.

Data Science and ML Capstone Project

A program that emphasizes the practical implementation of data science and machine learning to overcome obstacles through the use of Python.

AI in Architectural Design: Introduction

In-depth study of the applications of machine learning and computer vision, as well as practical experience in data analysis and Python programming.

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.

ML Use Cases in Finance

Learn to apply advanced machine learning and deep learning models to real-world challenges by immersing yourself in the cutting-edge world of AI-powered finance and insurance.

Bias and Discrimination in AI

This course delves deeply into AI bias, equipping students with the knowledge they need to design responsible and ethical AI systems.

Fintech: AI & ML in the Financial Industry

Explore the intersection of finance and machine learning to gain insight into the ways in which AI is transforming the future of financial services.

AI Skills Tailored to Engineers: Data Engineering and Data Pipelines

Acquire the fundamental skills of data management, extraction, querying, and visualization to power your AI initiatives.