Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
Promote the Ethical Use of Data-Driven Technologies
The greatest risk in emerging technology is the perpetuation of bias in automated technologies dependent upon data sets. Solutions created with racial, gender or demographic bias, whether unintentional or not can perpetuate tragic inequities socially and economically. This is the first of five courses within the Certified Ethical Emerging Technologist (CEET) professional certificate and it is designed for learners seeking to advocate and promote the ethical use of data-driven technologies.
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Course by
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Self Paced
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21 ساعات
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الإنجليزية
Microsoft Azure Machine Learning
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code. This course will help you prepare for Exam AI-900: Microsoft Azure AI Fundamentals.
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Course by
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Self Paced
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11 ساعات
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الإنجليزية
Fundamentals of Technology Sales
With tens of thousands of jobs in technology sales available, this is a rapidly emerging opportunity that needs sharp people to make critical connections between technical solutions and technical buyers, company owners, and decision-makers.
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Course by
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Self Paced
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4 ساعات
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الإنجليزية
Developing AI Applications on Azure
This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning. Next, this course introduces the machine learning tools available in Microsoft Azure. We'll review standardized approaches to data analytics and you'll receive specific guidance on Microsoft's Team Data Science Approach.
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Course by
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Self Paced
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16 ساعات
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الإنجليزية
What Is Contemporary Art?
What is contemporary art? In this course, you’ll consider this question through works of art made since 1980. Hear directly from artists, architects, and designers from around the globe about their creative processes, materials, and inspiration. You’ll look at 3D–printed glass and fiber sculptures, performances in a factory and a museum, portraits (including those made with artificial intelligence) and interventions into television and video games.
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Course by
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Self Paced
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12 ساعات
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الإنجليزية
Virtual Agent Development in Dialogflow CX for Software Devs
Welcome to "Virtual Agent Development in Dialogflow CX for Software Devs", the third course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to develop more customized customer conversational solutions using Contact Center Artificial Intelligence (CCAI). In this course, you'll be introduced to more advanced and customized handling for virtual agent conversations that need to look up and convey dynamic data, and methods available to you for testing your virtual agent and logs which can be useful for understanding issues that arise.
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Course by
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Self Paced
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10 ساعات
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الإنجليزية
Create your own Sudoku Solver using AI and Python
In this 1-hour long project-based course, you will create a Sudoku game solver using Python. This problem is an example of what is called a Constraint Satisfaction Problem (CSP) in the field of Artificial Intelligence. CSP is a mathematical problem that must satisfy a number of constraints or limitations all the time.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
What is “the mind” and what is artificial intelligence?
In this course, we will explore the history of cognitive science and the way these ideas shape how we think of artificial cognition.
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Course by
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Self Paced
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الإنجليزية
Tracking Objects in Video with Particle Filters
In this one hour long project-based course, you will tackle a real-world computer vision problem. We will be locating and tracking a target in a video shot with a digital camera. We will encounter some of the classic challenges that make computer vision difficult: noisy sensor data, objects that change shape, and occlusion (object hidden from view).
We will tackle these challenges with an artificial intelligence technique called a particle filter.
By the end of this project, you will have coded a particle filter from scratch using Python and numpy.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Preparing for AI-900: Microsoft Azure AI Fundamentals exam
Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed evidence of mastering skills in digital and cloud businesses. In this course, you will prepare to take the AI-900 Microsoft Azure AI Fundamentals certification exam. You will refresh your knowledge of fundamental principles of machine learning on Microsoft Azure. You will go back over the main consideration of AI workloads and the features of computer vision, Natural Language Processing (NLP), and conversational AI workloads on Azure.
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Course by
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10 ساعات
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الإنجليزية
Artificial Intelligence Privacy and Convenience
In this course, we will explore fundamental concepts involved in security and privacy of machine learning projects. Diving into the ethics behind these decisions, we will explore how to protect users from privacy violations while creating useful predictive models. We will also ask big questions about how businesses implement algorithms and how that affects user privacy and transparency now and in the future.
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Course by
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Self Paced
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6 ساعات
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الإنجليزية
Artificial Intelligence Ethics in Action
AI Ethics research is an emerging field, and to prove our skills, we need to demonstrate our critical thinking and analytical ability. Since it's not reasonable to jump into a full research paper with our newly founded skills, we will instead work on 3 projects that will demonstrate your ability to analyze ethical AI across a variety of topics and situations. These projects include all the skills you've learned in this AI Ethics Specialization.
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Course by
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Self Paced
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6 ساعات
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الإنجليزية
Designing the Future of Work
The workplace of tomorrow is an uncertain place. We live in a rapidly changing world, and design innovations such as artificial intelligence (AI), robotics, and big data are rapidly changing the fundamental nature of how we live and work. As these technologies continue to evolve at an exponential rate - it is becoming critical to understand their impact on contemporary work practices, and for businesses and employees to understand how to design a secure future amidst this disruption. What new, disruptive technologies are on the horizon? How will jobs change?
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
Getting Started with AI using IBM Watson
In this course you will learn how to quickly and easily get started with Artificial Intelligence using IBM Watson. You will understand how Watson works, become familiar with its use cases and real life client examples, and be introduced to several of Watson AI services from IBM that enable anyone to easily apply AI and build smart apps. You will also work with several Watson services to demonstrate AI in action.
This course does not require any programming or computer science expertise and is designed for anyone whether you have a technical background or not.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Future Development in Supply Chain Finance and Blockchain Technology
This course focuses on future developments in Supply Chain Finance such as Artificial Intelligence (AI) and Application Programming Interfaces (APIs). This course covers the basic concepts of Distributed Ledger Technology (DLT), the key features as well as the benefits the solution represents for Supply Chain Finance. This course concludes with an understanding of the applicability of Blockchain Technologies and how they impact Supply Chain Finance.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية
Narrative Economics
Dear Potential Learner, Please take some time to read through this note before deciding to enroll. This course, Narrative Economics, is relatively short and proposes a simple concept: we need to incorporate the contagion of narratives into our economic theory. You can think of narratives as stories that shape public beliefs, which in turn influence our decision making.
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Course by
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Self Paced
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6 ساعات
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الإنجليزية
Preparing for DP-900: Microsoft Azure Data Fundamentals Exam
Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed evidence of mastering skills in digital and cloud businesses. In this course, you will prepare to take the DP-900 Microsoft Azure Data Fundamentals certification exam. You will refresh your knowledge of the fundamentals of database concepts in a cloud environment, the basic skilling in cloud data services, and foundational knowledge of cloud data services within Microsoft Azure.
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Course by
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Self Paced
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6 ساعات
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الإنجليزية
AI Materials
Learn about the materials that have advanced the performance of artificial intelligence, and the machine learning models that could help accelerate the design and development of novel materials. This course defines artificial intelligence (AI) as a machine to which some or all of the functions of the human brain have been delegated. It highlights the need, and explains in an easy-to-understand way how machine learning from artificial intelligence can dramatically accelerate the development of new materials.
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Course by
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Self Paced
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50 ساعات
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الإنجليزية
Artificial Intelligence Algorithms Models and Limitations
We live in an age increasingly dominated by algorithms. As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations in the real world. Whether it's making loan decisions or re-routing traffic, machine learning models need to accurately reflect our shared values. In this course, we will explore the rise of algorithms, from the most basic to the fully-autonomous, and discuss how to make them more ethically sound.
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Course by
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Self Paced
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8 ساعات
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الإنجليزية
Microsoft Azure Machine Learning for Data Scientists
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier.
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Course by
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Self Paced
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11 ساعات
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الإنجليزية
Exam Prep AI-102: Microsoft Azure AI Engineer Associate
The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam tests the candidate’s experience and knowledge of the AI solutions that make the most of Azure Cognitive Services and Azure services.
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Course by
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Self Paced
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16 ساعات
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الإنجليزية
Advanced Learning Algorithms
In the second course of the Machine Learning Specialization, you will: • Build and train a neural network with TensorFlow to perform multi-class classification • Apply best practices for machine learning development so that your models generalize to data and tasks in the real world • Build and use decision trees and tree ensemble methods, including random forests and boosted trees The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online.
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Course by
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Self Paced
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الإنجليزية
Diabetic Retinopathy Detection with Artificial Intelligence
In this project, we will train deep neural network model based on Convolutional Neural Networks (CNNs) and Residual Blocks to detect the type of Diabetic Retinopathy from images. Diabetic Retinopathy is the leading cause of blindness in the working-age population of the developed world and estimated to affect over 347 million people worldwide. Diabetic Retinopathy is disease that results from complication of type 1 & 2 diabetes and can develop if blood sugar levels are left uncontrolled for a prolonged period of time.
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Course by
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Self Paced
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4 ساعات
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الإنجليزية
Generative AI Teach-Out
This Teach-Out introduces learners to artificial intelligence (AI) and explains how large language models and generative AI tools, like ChatGPT, work. Explore the ethical use of artificial intelligence, the implications of authorship, and how these tools might be utilized and regulated moving forward. Generative AI has developed rapidly over the last year and there is growing demand for a variety of AI tools, such as chatbots and visual media generators.
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Course by
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Self Paced
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8 ساعات
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الإنجليزية
Contact Center AI: Conversational Design Fundamentals
Welcome to "CCAI Conversational Design Fundamentals", the first course in the "Customer Experiences with Contact Center AI" series.
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Course by
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Self Paced
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4 ساعات
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الإنجليزية