Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications (Coursera)

Offered by Intel Corporation,
Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications (Coursera)

Welcome to the Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications course! This course provides easy access to the fundamental concepts of the Intel Distribution of OpenVINO toolkit. Throughout this course, you will be introduced to demos, showcasing the capabilities of this toolkit.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

With the skills you acquire from this course, you will be able to describe the value of tools and utilities provided in the Intel Distribution of OpenVINO toolkit, such as the model downloader, model optimizer and inference engine.

What You Will Learn

  • Foundational knowledge of Intel® Distribution of OpenVINO™ toolkit
  • Foundational knowledge of deep learning for computer vision applications
  • The phases of the inference flow
  • Intel® hardware acceleration and optimization techniques

Syllabus

WEEK 1: Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

The Fundamental of Data-Driven Investment (Coursera) Coursera
Sungkyunkwan University - SKKU

The Fundamental of Data-Driven Investment (Coursera)

In this course, the instructor will discuss the fundamental analysis of investment using R programming. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to do the elemental analysis for investment management that you might need to do in your job every day. Additionally, the study note to do using Python programming will be provided.

Nov 2nd 2026
4 Weeks
Introducción a la programación en Python I: Aprendiendo a programar con Python (Coursera) Coursera
Pontificia Universidad Católica de Chile

Introducción a la programación en Python I: Aprendiendo a programar con Python (Coursera)

Decía Steve Jobs que “todo el mundo debería aprender a programar un ordenador porque esto te ayuda a pensar”. Hoy en día la programación es una herramienta fundamental para el desarrollo de la tecnología moderna. Este curso te introduce en el mundo de la programación en el lenguaje Python.

Nov 2nd 2026
5-12 Weeks
Algorithmic Thinking (Part 1) (Coursera) Coursera
Rice University

Algorithmic Thinking (Part 1) (Coursera)

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

Nov 2nd 2026
4 Weeks
Using Machine Learning in Trading and Finance (Coursera) Coursera
New York Institute of Finance,Google Cloud

Using Machine Learning in Trading and Finance (Coursera)

This course provides the foundation for developing advanced trading strategies using machine learning techniques. In this course, you’ll review the key components that are common to every trading strategy, no matter how complex. You’ll be introduced to multiple trading strategies including quantitative trading, pairs trading, and momentum trading.

Oct 23rd 2026
4 Weeks
Foundations of Data Science: K-Means Clustering in Python (Coursera) Coursera
University of London,Goldsmiths, University of London

Foundations of Data Science: K-Means Clustering in Python (Coursera)

This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses. It focuses on the basic mathematics, statistics and programming skills that are necessary for typical data analysis tasks.

Nov 2nd 2026
5-12 Weeks
An Introduction to Interactive Programming in Python (Part 2) (Coursera) Coursera
Rice University

An Introduction to Interactive Programming in Python (Part 2) (Coursera)

This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple.

Nov 2nd 2026
4 Weeks
Python and Statistics for Financial Analysis (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Python and Statistics for Financial Analysis (Coursera)

Python is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.

Nov 2nd 2026
4 Weeks
Data Science in Stratified Healthcare and Precision Medicine (Coursera) Coursera
University of Edinburgh

Data Science in Stratified Healthcare and Precision Medicine (Coursera)

An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. In this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine.

Nov 2nd 2026
5-12 Weeks
Estruturas de dados Python (Coursera) Coursera
University of Michigan

Estruturas de dados Python (Coursera)

Este curso apresentará as estruturas de dados centrais da linguagem de programação Python. Vamos superar os fundamentos da programação de procedimentos e explorar como podemos usar as estruturas de dados integradas do Python, como listas, dicionários e tuplas, para realizar análises de dados cada vez mais complexas. Este curso cobrirá os capítulos 6 a 10 do livro “Python para Todos”. Este curso aborda o Python 3.

Nov 2nd 2026
5-12 Weeks
Data Visualization with Python & R for Engineers (Coursera) Coursera
Northeastern University

Data Visualization with Python & R for Engineers (Coursera)

The primary objective of this course is to offer students an opportunity to learn how to use visualization tools and techniques for data exploration, knowledge discovery, data storytelling, and decision making in engineering, healthcare operations, manufacturing, and related applications. This course covers basics of data mining and visualization, and Python. It also introduces students to static visualization charts and techniques that reveal information, patterns, interactions.

Oct 26th 2026
4 Weeks
Optimización de Redes Neuronales Profundas (Coursera) Coursera
Universidad Austral

Optimización de Redes Neuronales Profundas (Coursera)

Este curso se centrará en la optimización de Redes Neuronales Profundas, cambiando la idea de que todo el proceso es una “caja negra”. Comprenderá qué impulsa el rendimiento y podrá obtener mejores resultados de manera más sistemática. Entenderá cómo optimizar los principales Hiperparámetros y su implementación. Además, aprenderá nuevos conceptos útiles para el entrenamiento de las redes como los mini-batch y las regularizaciones. También, aprenderá a implementar una red neuronal utilizando TensorFlow

Oct 26th 2026
3 Weeks
Python Data Visualization (Coursera) Coursera
Rice University

Python Data Visualization (Coursera)

This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs.

Oct 30th 2026
4 Weeks