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Human Factors in AI

Human Factors in AI

This third and final course of the AI Product Management Specialization by Duke University's Pratt School of Engineering focuses on the critical human factors in developing AI-based products. The course begins with an introduction to human-centered design and the unique elements of user experience design for AI products. Participants will then learn about the role of data privacy in AI systems, the challenges of designing ethical AI, and approaches to identify sources of bias and mitigate fairness issues.

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  • 17 ساعات
  • الإنجليزية
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Data Platform, Cloud Networking and AI in the Cloud

Data Platform, Cloud Networking and AI in the Cloud

The Data Platform course aims to establish a strong foundation, and working knowledge of the fundamentals of data, including data mechanics, databases, and other foundational elements of data processing. This course will drill into the specific data management elements including relational taxonomy of data, data lifecycle and fundamentals databases and data processing and analysis. The course also covers the relevance of IA with respect to data in the cloud.

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  • 7 ساعات
  • الإنجليزية
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ChatGPT Teach-Out

ChatGPT Teach-Out

This Teach-Out introduces learners to artificial intelligence and explains how large language models and chatbots like ChatGPT work. You will better understand the ethical use of artificial intelligence, the implications of authorship, and how tools like ChatGPT might be utilized and regulated moving forward. ChatGPT launched in November 2022 in an effort to enhance natural language processing tasks like translation, text summarization, and text generation. Within five days of release, ChatGPT crossed 1 million users.

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  • Self Paced
  • 6 ساعات
  • الإنجليزية
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Detect Fake News in Python with Tensorflow

Detect Fake News in Python with Tensorflow

"Fake News" is a word used to mean different things to different people. At its heart, we define "fake news" as any news stories which are false: the article itself is fabricated without verifiable evidence, citations or quotations. Often these stories may be lies and propaganda that is deliberately intended to confuse the viewer, or may be characterized as "click-bait" written for monetary incentives (the writer profits on the number of people who click on the story).

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  • Self Paced
  • 2 ساعات
  • الإنجليزية
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Data Privacy Fundamentals

Data Privacy Fundamentals

This course is designed to introduce data privacy to a wide audience and help each participant see how data privacy has evolved as a compelling concern to public and private organizations as well as individuals. In this course, you will hear from legal and technical experts and practitioners who encounter data privacy issues daily. This course will review theories of data privacy as well as data privacy in the context of social media and artificial intelligence. It will also explore data privacy issues in journalism, surveillance, new technologies like facial recognition and biometrics.

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  • 9 ساعات
  • الإنجليزية
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Question Reality: Mind

Question Reality: Mind

This course explores questions about mathematics, nature, and perfection. You will learn about logic, computers, simulations, and different perspectives on the nature of human consciousness. You will also be able to determine what free will means to you and your reality. Next, you will learn the features of artificial intelligence and understand if it is possible to mimic the complexity of a brain through a machine.

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  • 7 ساعات
  • الإنجليزية
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Understanding Technology and Data

Understanding Technology and Data

Welcome to the course Understanding Technology and Data. This course is designed to provide a foundation on how technology and data are applied in everyday life. It will help you learn to succeed in a digital work environment.

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  • 17 ساعات
  • الإنجليزية
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Bank Loan Approval Prediction With Artificial Neural Nets

Bank Loan Approval Prediction With Artificial Neural Nets

In this hands-on project, we will build and train a simple deep neural network model to predict the approval of personal loan for a person based on features like age, experience, income, locations, family, education, exiting mortgage, credit card etc.
By the end of this project, you will be able to:
- Understand the applications of Artificial Intelligence and Machine Learning techniques in the banking industry
- Understand the theory and intuition behind Deep Neural Networks
- Import key Python libraries, dataset, and perform Exploratory Data Analysis.

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  • 3 ساعات
  • الإنجليزية
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Deploy a Video indexing Application using Amazon Rekognition

Deploy a Video indexing Application using Amazon Rekognition

In this one-hour project, you will understand how Amazon Rekognition works for video analysis and what information is generated for video indexing. You will learn how to deploy a Web Application that uses the AWS SDK to upload and index videos to detect faces, objects, and labels in scenes, maturity content, identify celebrities, and more.
Amazon Rekognition is one of the most used Artificial Intelligence services in AWS and is favored to analyze images and videos with colossal confidence and low costs.

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  • 2 ساعات
  • الإنجليزية
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Artificial Intelligence on Microsoft Azure

Artificial Intelligence on Microsoft Azure

Whether you're just beginning to work with Artificial Intelligence (AI) or you already have AI experience and are new to Microsoft Azure, this course provides you with everything you need to get started.

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  • 4 ساعات
  • الإنجليزية
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The Ethical Leader

The Ethical Leader

This aims primarily at post-baccalaureate students interested in leadership theory and ethical leadership. The first part of this course introduces students to the classical literature in philosophical ethics, including consequentialist, regularian, deontological, and virtue theory approaches. This includes exploration of the ethical responsibilities leaders have toward themselves, corporations, the government, and the public.

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  • 56 ساعات
  • الإنجليزية
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Digital Governance

Digital Governance

Big data, artificial intelligence, machine learning, autonomous cars, chatbots, just a few terms that have become a part of our professional legal and political vocabulary. Emerging technologies and technological advancement have confronted us in our daily practice and will continue to do so in the future. Whether we’re buying something online, taking part in an election, or chatting with friends across the globe. Technology is here and it is here to stay.

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  • 28 ساعات
  • الإنجليزية
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Digitalisation in Space Research

Digitalisation in Space Research

This course provides an overview of the most important digital applications in the field of aerospace research. The course instructors discuss how digitalisation is impacting and changing both satellite-based and manned spaceflight research. One unit is specifically devoted to exploring the use of artificial intelligence in the evaluation of satellite data.

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  • 13 ساعات
  • الإنجليزية
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Amazon Echo Reviews Sentiment Analysis Using NLP

Amazon Echo Reviews Sentiment Analysis Using NLP

In this hands-on project, we will predict customer sentiment using natural language processing techniques.
In this project, we will build a machine learning model to analyze thousands of amazon echo reviews to predict customers sentiment. Artificial Intelligence and Machine Learning (AI/ML)-based sentiment analysis is crucial for companies to automatically predict whether their customers are happy or not. This project is practical and directly applicable to any company with that has online presence. The algorithm could be used automatically detect customers sentiment.

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  • 2 ساعات
  • الإنجليزية
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Applied Calculus with Python

Applied Calculus with Python

This course is designed for the Python programmer who wants to develop the foundations of Calculus to help solve challenging problems as well as the student of mathematics looking to learn the theory and numerical techniques of applied calculus implemented in Python. By the end of this course, you will have learned how to apply essential calculus concepts to develop robust Python applications that solve a variety of real-world challenges. Video lectures, readings, worked examples, assessments, and Python code are all provided in the course.

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  • الإنجليزية
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Introduction to Artificial Intelligence (AI)

Introduction to Artificial Intelligence (AI)

Artificial Intelligence (AI) is all around us, seamlessly integrated into our daily lives and work. Enroll in this course to understand the key AI terminology and applications and launch your AI career or transform your existing one. This course covers core AI concepts, including deep learning, machine learning, and neural networks. You’ll examine generative AI models, including large language models (LLMs) and their capabilities.

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  • 9 ساعات
  • الإنجليزية
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Artificial Intelligence for Breast Cancer Detection

Artificial Intelligence for Breast Cancer Detection

The objective of this course is to provide students the knowledge of artificial intelligence processing approaches to breast cancer detection. Students will take quizzes and participate in discussion sessions to reinforce critical concepts conveyed in the modules. Reading assignments, including journal papers to understand the topics in the modules, will be provided. The course is designed for students who are interested in the career of product development using artificial intelligence and would like to know how AI can be applied to mammography.

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  • 15 ساعات
  • الإنجليزية
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AI, Business & the Future of Work

AI, Business & the Future of Work

This course from Lunds university will help you understand and use AI so that you can transform your organisation to be more efficient, more sustainable and thus innovative. The lives of people all over the world are increasingly enhanced and shaped by artificial intelligence. To organisations there are tremendous opportunities, but also risks, so where do you start to plan for AI, business and the future of work? Whether you are in the public or private sector, in a large organisation or a small shop, AI has a growing impact on your business.

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  • 12 ساعات
  • الإنجليزية
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Recognizing Facials and Objects with Amazon Rekognition

Recognizing Facials and Objects with Amazon Rekognition

In this two hours project, you understand how Amazon Rekognition works and will learn how to use the AWS SDK to Analyze Faces, detect objects and labels in image scenes, moderate images, identify celebrities and recognize and compare faces using Artificial Intelligence.
Amazon Rekognition is one of the most used Artificial Intelligence services in AWS and popular to analyze images with huge confidence and low costs.
Once you're done with this project, you will be able to use Amazon Rekognition to analyze your own images in just a few steps.

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  • 3 ساعات
  • الإنجليزية
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Developing AI Applications with Python and Flask

Developing AI Applications with Python and Flask

This mini course is intended to apply basic Python skills for developing Artificial Intelligence (AI) enabled applications. In this hands-on project you will assume the role of a developer and perform tasks including: - Develop functions and application logic - Exchange data using Watson AI libraries - Write unit tests, and - Package the application for distribution. You will demonstrate your foundational Python skills by employing different techniques to develop web applications and AI powered solutions.

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  • 19 ساعات
  • الإنجليزية
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Introduction to AI in the Data Center

Introduction to AI in the Data Center

Welcome to the Introduction to AI in the Data Center Course!
As you know, Artificial Intelligence, or AI, is transforming society in many ways.
From speech recognition to improved supply chain management, AI technology provides enterprises with the compute power, tools, and algorithms their teams need to do their life’s work.
But how does AI work in a Data Center? What hardware and software infrastructure are needed?
These are some of the questions that this course will help you address.

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  • 5 ساعات
  • الإنجليزية
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Promote the Ethical Use of Data-Driven Technologies

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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  • 21 ساعات
  • الإنجليزية
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Microsoft Azure Machine Learning

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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  • 11 ساعات
  • الإنجليزية
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Fundamentals of Technology Sales

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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  • 4 ساعات
  • الإنجليزية
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Developing AI Applications on Azure

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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  • 16 ساعات
  • الإنجليزية
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