Computer Vision and Image Processing - Intro

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.

Vision Intelligence and ML

Develop your skills in image processing, augmented reality, and object recognition to prepare yourself to create cutting-edge AI-powered visual apps.

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.

ML at the Edge on Arm: A Practical Introduction

Exploration of the implementation of AI and machine learning in constrained environments and Arm microcontrollers.

ML on AWS An Introduction

The program provides students with the knowledge and abilities to differentiate between AI technologies, host models on Amazon Sagemaker, and apply AI and machine learning to real-world activities.

Google AI: Accessible to Anyone

The course gives an extensive understanding of AI, which encompasses its ethical implications, neural networks, data significance, and applications.

Machine Learning in Computer Vision

Using the complete machine learning pipeline in computer vision, this course teaches students how to use MATLAB for object detection and classification in images.

Getting Started with ML at the Edge on Arm

Brief Summary This course analyzes the deployment of machine learning models on Arm microcontrollers, with an emphasis on real-world applications in edge computing.

Solving Business Problems with AI and ML

In this course, the main business applications of AI/ML are introduced, with an emphasis on tool selection and ethical behavior.

Machine Learning Workflow

Develop an understanding of the machine learning protocol, which encompasses the entire process from data preparation and model training to the dissemination of results to the organization.