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Over the next few weeks, we will discuss the basics of Cloud computing: what it is, what it supports, and how it is delivered. We will delve into storage services, Cloud economics, levels of managed infrastructure, and Azure services. We will also explore different deployment models of Cloud computing, as well as several hosting scenarios. Last but not least, we will compare some of the cloud platforms and discuss the future of cloud computing. Enroll Now 

  This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit. The course discusses artificial neural networks and other deep learning concepts, then walks through how to combine neural network building blocks into complete computer vision models and train them efficiently.  This course covers AWS services and frameworks including Amazon Rekognition, Amazon SageMaker, Amazon SageMaker Ground Truth, and Amazon SageMaker Neo, AWS Deep Learning AMIs via Amazon EC2, AWS Deep Learning Containers, and Apache MXNet on AWS. The course is comprised of video lectures, hands-on exercise guides, demonstrations, and quizzes.   Each week will focus on different aspects of computer vision with GluonCV. In week one, we will present some basic concepts in computer vision, discuss what tasks can be solved with GluonCV and go over the benefits of Apache MXNet.   In the seco

  Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team. Enroll now

  Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. The World Economic Forum states the growth of artificial intelligence (AI) could create 58 million net new jobs in the next few years, yet it’s estimated that currently there are 300,000 AI engineers worldwide, but millions are needed. This means there is a unique and immediate opportunity for you to get started with learning the essential ML concepts that are used to build AI applications – no matter what your skill levels are. Learning the foundations of ML now, will help you keep pace with this growth, expand your skills and even help advance your career.  This course will teach you how to get started with AWS Machine Learning. Key topics include: Machine Learning on AWS, Computer Vision on AWS, and Natural Language Processing (NLP) on AWS. Each topic consists of several modules deep-diving into variety of ML concepts, AWS services as well as insights f

  Hammad Bin Khalifa University Scholarship in Qatar 2021 has now been opened for All International students across the world. Admission Scholarship for 2021 Intake is allowing students to take admission in Bachelors, Masters, or a Ph.D. Degree Programs Hamad Bin Khalifa University (HBKU), a member of Qatar Foundation for Education, Science, and Community Development (QF), was founded in 2010 to continue fulfilling QF’s vision of unlocking human potential. HBKU is a homegrown research and graduate studies University that acts as a catalyst for positive transformation in Qatar and the region while having a global impact. Colleges College of Public Policy College of Health & Life Sciences College of Law College of Science & Engineering College of Humanities & Social Sciences College of Islamic Studies Financial Aid QAR 5000 Stipend/ Month+ Accommodation+ Return Ticket/Year (BS) QAR 5000 Stipend/ Month+ Accommodation+ Return Ticket/Year (MS). QAR 7500 Stipend/ Month+ Accommoda

 With the central task of talent cultivation, Tsinghua aims to cultivate people who shoulder the mission and strive for excellence through a "Three-Pronged Approach" by integrating the shaping of values, the cultivating of skills and the imparting of knowledge. Students are expected to develop five essential qualities, namely, well-rounded character, solid and broad academic foundation, innovative thinking, global perspective and social commitment, achieving a combination of comprehensive development and individual development. Through optimizing undergraduate programs, developing quality undergraduate courses and continuously improving the quality of undergraduate education, Tsinghua builds an undergraduate education system based on general education and integrating general education with disciplinary specialization to help students to become highly-competent, high-level, diversified and creative talents. Tsinghua offers 82 undergraduate majors and 39 minors, covering 10 dis