Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
Stability and Capability in Quality Improvement
In this course, you will learn to analyze data in terms of process stability and statistical control and why having a stable process is imperative prior to perform statistical hypothesis testing. You will create statistical process control charts for both continuous and discrete data using R software. You will analyze data sets for statistical control using control rules based on probability.
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Course by
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Self Paced
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10 ساعات
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الإنجليزية
Fundamentals of Digital Image and Video Processing
In this class you will learn the basic principles and tools used to process images and videos, and how to apply them in solving practical problems of commercial and scientific interests. Digital images and videos are everywhere these days – in thousands of scientific (e.g., astronomical, bio-medical), consumer, industrial, and artistic applications. Moreover they come in a wide range of the electromagnetic spectrum - from visible light and infrared to gamma rays and beyond.
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Course by
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Self Paced
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36 ساعات
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الإنجليزية
Dice Game in Python
By the end of this project, you will create a dice game using Python. This course will enable you to take your beginner knowledge in Python and apply that knowledge to a project and take that knowledge to the next level.
This beginner tutorial will take you through creating a simple dice application with two players. It will utilize in-built functions and imports such as random and input. The short project will enable beginners in python to understand how to utilize basic python syntax knowledge into a program.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Scikit-Learn For Machine Learning Classification Problems
Hello everyone and welcome to this new hands-on project on Scikit-Learn Library for solving machine learning classification problems. In this project, we will learn how to build and train classifier models using Scikit-Learn library. Scikit-learn is a free machine learning library developed for python. Scikit-learn offers several algorithms for classification, regression, and clustering. Several famous machine learning models are included such as support vector machines, random forests, gradient boosting, and k-means.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Accessibility Tutorial
Start learning Web Accessibility with the W3Schools course and improve your Web Development skills. In this tutorial you will learn how to make accessible websites. That means websites that can be used by everyone, also people with disabilities. As web developers, we are responsible for the work we put into the world. Our work should not exclude anyone. The course is self-paced with text based modules, practical examples and exercises to check your understanding as you progress.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية
Surviving Disruptive Technologies (On Demand)
The purpose of this course is to help individuals and organizations survive when confronted with disruptive technologies that threaten their current way of life. We will look at a general model of survival and use it to analyze companies and industries that have failed or are close to failing. Examples of companies that have not survived include Kodak, a firm over 100 years old, Blockbuster and Borders. It is likely that each of us has done business with all of these firms, and today Kodak and Blockbuster are in bankruptcy and Borders has been liquidated.
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Course by
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Self Paced
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8 ساعات
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الإنجليزية
Concurrent Programming in Java
This course teaches learners (industry professionals and students) the fundamental concepts of concurrent programming in the context of Java 8. Concurrent programming enables developers to efficiently and correctly mediate the use of shared resources in parallel programs.
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Course by
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Self Paced
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19 ساعات
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الإنجليزية
Rigid Body Dynamics
This course teaches dynamics, one of the basic mechanics subjects of Mechanical Engineering. Students would be able to organize their knowledge about force and motion, work-energy, impulse-momentum in view of Newton's 2nd law and its integration over time and displacement. The Engineering Dynamics consists of two parts: particle dynamics and rigid body dynamics. This is the second part of the dynamics: rigid body dynamics The class will consist of lecture videos, which are about 15 min length (or a bit longer). These contain a couple of practice problem solving.
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Course by
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Self Paced
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14 ساعات
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الإنجليزية
What Are the 4 A’s of Marketing - Jagdish Sheth
The most common framework in marketing is the 4Ps of Marketing (Price, Product, Place, and Promotion). However, this is a company perspective about marketing and the 4A’s of marketing is a customer perspective on marketing. Customers are looking for value and the 4A’s is a value creation framework. Each A has two dimensions. For instance, acceptability is functional and psychological. Affordability encapsulates the ability and willingness to pay, and accessibility focuses on availability and convenience. Lastly, awareness looks at product and brand knowledge.
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Course by
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Self Paced
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الإنجليزية
Optimizing Applications Using Cloud Profiler
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use the Cloud Operations Tracing and Profiler tools to diagnose and correct application latencies.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Theory of Angular Momentum
This course can also be taken for academic credit as ECEA 5611, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course introduces the quantum mechanical concept of angular momentum operator and its relationship with rotation operator. It then presents the angular momentum operators, their eigenvalues and eigenfunctions. Finally, it covers the theory of angular momentum addition. At the end of this course learners will be able to: 1. describe and analyze angular momentum states using quantum mechanically defined angular momentum operators, 2.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
Performance Monitoring For Application Developers
This course is designed for those who want to get the most out of the applications you write. Learn about the different tools and strategies for diagnosing areas of concern regarding application performance. All assignments are hands-on, and there is nothing to install on your own computer. All work can be completed in the browser.
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Course by
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Self Paced
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10 ساعات
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الإنجليزية
Microsoft Azure Services and Lifecycles
In this course, you will learn how Microsoft Azure can help you secure access to cloud resources, what it means to build a cloud governance strategy, and how Microsoft Azure adheres to common regulatory and compliance standards. With the rise of remote work, bring your own device (BYOD), mobile applications, and cloud applications, the primary security boundary has shifted from firewalls and physical access controls to identity. Understanding who is using your systems and what they have permission to do is critical to keeping your data safe from attackers.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية
Machine Learning with Spark on Google Cloud Dataproc
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to implement logistic regression using a machine learning library for Apache Spark running on a Google Cloud Dataproc cluster to develop a model for data from a multivariable dataset.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Support Interactive Learning with Genially
By the end of this project, you will be ready to engage your students using the interactive learning opportunites that Genially provides. Genially is “the tool that brings content to life.” Instead of simply showing an image, Genially allows you to map out a learning journey for your students. With a single image or video, students will have access to endless information that you, the teacher, have added using Genially.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Panel Data Analysis with R
In this 1-hour long project-based course, you will learn how to conduct Panel Data (Regression) Analysis. You will receive step-by-step instructions to analyze the 'RENTAL' dataset from 'Introductory Econometrics: A Modern Approach' by Wooldridge using R Studio. In this project, we will discuss three models namely, Ordinary Least Square (OLS), Fixed effects (FE) and Random effects (RE) in brief and check which one fits the model best.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Digital Communication and Emotion
Communication online can be hard, especially when emotions get involved. Whether you’re facing someone’s sarcastic joke or a heated discussion, digital communication requires finesse. Even in normal situations, this communication can benefit from specific skills that let you get your message across clearly on any medium. However, you may still wonder about the best ways to go about online communication. With the expertise of Dr.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية
Analyzing Video with OpenCV and NumPy
In this one hour long project-based course, you will learn the basics of reading, analyzing and writing video using Python, NumPy and OpenCV. We will be working with a short documentary film which is in the public domain, so we are free to download and manipulate it. We will read in the video data frame-by-frame, examine the contents and modify them from Python.
By the end of this project, you will have analyzed a video at the pixel level, modified its contents and created a new video file
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Internet of Things V2: Setting up and Using Cloud Services
Have you wondered what exactly AWS is and why is it important? Do you want to make informed design decisions about which services to use? Do you want to gain expertise to leverage the cloud for your own projects? In this course, you will learn to interface with the AWS cloud. You will then develop software to send data to and receive data from the cloud.
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Course by
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Self Paced
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10 ساعات
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الإنجليزية
Accountability and Employee Engagement
Being a successful leader in complex technical organization requires being ultimately accountable for your team’s performance and meeting commitments to all your stakeholders. This second Leading Technical Organizations course, "Accountability and Employee Engagement", explores how organizational leaders use different decision-making processes for different situations and that they are ultimately accountable for all results.
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Course by
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Self Paced
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25 ساعات
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الإنجليزية
Stepping Up: Leading Others
In this course, you will look at how to work with a diverse range of people to create and lead a high performing team. You will consider the differences between work groups and teams and explore team dynamics, the nature of remote teams and cross-cultural implications of leading teams. You will also discover how to effectively lead your peers, deal with blockers and disruptors, set objectives and delegate. This course is aimed at leaders and managers who have five to six years experience and who are beginning to manage teams, customers and clients more regularly or more directly.
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Course by
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Self Paced
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20 ساعات
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الإنجليزية
Publishing APIs with Apigee X
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you use API products to package your APIs, and create a developer portal so application developers can try your APIs and sign up to use them.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Arts and Heritage Management
Today cultural institutions are facing important dilemmas in many aspects of their management. Over the past decades, a new figure has emerged that of the art manager. Imagine you went to work every day to connect artists with audiences, vision with reality, and money with a mission. That is what managers in the arts do, they play an essential role in transforming the minds, lives, and communities through creative expression. This course has been conceptualized to address the need of skills and techniques to help professionals and managers in running art and cultural institutions.
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Course by
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Self Paced
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17 ساعات
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الإنجليزية
Machine Learning Foundations for Product Managers
In this first course of the AI Product Management Specialization offered by Duke University's Pratt School of Engineering, you will build a foundational understanding of what machine learning is, how it works and when and why it is applied. To successfully manage an AI team or product and work collaboratively with data scientists, software engineers, and customers you need to understand the basics of machine learning technology.
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Course by
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Self Paced
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16 ساعات
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الإنجليزية
Security and Privacy for Big Data - Part 2
Welcome to our focused course on Privacy and Data Protection in Big Data Environments. Here, you will delve into not only privacy-preserving methodologies but also explore crucial data protection regulations and concepts. By the end of this course, you'll be empowered to navigate your next Big Data project with confidence, assuring all aspects of privacy and data protection are well-managed. This course will sharpen your ability to identify potential vulnerabilities in Big Data projects, providing you with the tools to fortify your systems for long-term sustainability.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية