Hello everyone, we have updated this article recently, as the offer we shared here earlier has been updated and extended until the end of year 2021 while the supplies last. So, please take a note. Also, we hope you are staying safe from COVID19 and mastering new skills while staying at home. Here's a great news for our learners: The tech giant, IBM is offering Data Science and Artificial Intelligence Programs on Coursera for free for first 30 days until 31st of December 2021 (Updated). Consider looking at this exclusive offer here.

Education should not be a privilege but a common good. It should be openly accessible to everyone, with as few barriers as possible; even more so for key technologies such as Machine Learning (ML) and Data Science (DS). Open Educational Resources (OER) are a crucial factor for greater educational equity. In this paper, we describe the specific requirements for OER in ML and DS and argue that it is especially important for these fields to make source files publicly available, leading to Open Source Educational Resources (OSER). We present our view on the collaborative development of OSER, the challenges this poses, and first steps towards their solutions. We outline how OSER can be used for blended learning scenarios and share our experiences in university education. Finally, we discuss additional challenges such as credit assignment or granting certificates.

As we all know, Covid-19 struck Wuhan on New Year's Eve in 2019, and the city embraced total lockdown. Soon, the rest of China and the world followed. But what many don't know is Chinese education never went into lockdown. Within less than three months, Beijing Normal University (BNU) started a new semester offering more than 3,000 online courses. BNU could do so only because of China's comprehensive education technology (EdTech) drive in the preceding years, as a blog post at the Oxford Internet Institute elaborates.

This course gives you an overview of Computer Vision, Machine Learning with AWS. In this course, you will learn how to build and train a computer vision model using the Apache MXNet and GluonCV toolkit. This course tells you about AWS services and frameworks including Amazon Rekognition, Amazon SageMaker, Amazon SageMaker GroundTruth, and Amazon SageMaker Neo, AWS Deep Learning AMIs via Amazon EC2, AWS Deep Learning Containers, and Apache MXNet on AWS. In the final project, you have to select the appropriate pre-trained GluonCV model, apply that model to your dataset, and visualize the output of your GluonCV model. Now, let's see the syllabus of the course-

When compared to all other programming language, python is extremely simple, easy to learn, interpret and implement. Due to this reason it became very popular and trending programming right now. The job demand for python programmers are high. Python engineers have some of the highest salaries in the industry. There are plenty of Python scientific packages for data visualization, machine learning, natural language processing, complex data analysis and more.

Hello guys, if you are interested in learning about Artificial Intelligence and how to build AI and looking for free online resources then you have come to the right place. Earlier, I have shared free Machine Learning and Free Data Science courses and in this article, I am going to share free Artificial Intelligence and deep learning courses for beginners. These free courses are created from Udemy, Coursera, edX, and Pluralsight and created by experts and trusted by thousands of people who wanted to learn Artificial Intelligence. Clicking on this article link shows that you are very interested to understand and learn more about artificial intelligence but wait! Learning artificial intelligence is not that easy and never will be.

Georgia Tech is a major partner in a new National Science Foundation (NSF) Artificial Intelligence Research Institute focused on adult learning in online education, it was announced today. Led by the Georgia Research Alliance, the National AI Institute for Adult Learning in Online Education (ALOE) is one of 11 new NSF institutes created as part of an investment totaling $220 million. The ALOE Institute will develop new AI theories and techniques for enhancing the quality of online education for lifelong learning and workforce development. According to some projections, about 100 million American workers will need to be reskilled or upskilled over the next decade. With the increase of AI and automation, said Co-Principal Investigator and Georgia Tech lead Professor Ashok Goel, many jobs will be redefined. "There will be some loss of jobs, but mostly we will see individuals needing to learn a new skill to get a new job or to advance their career," said Goel, a professor of computer science and human-centered computing in Georgia Tech's School of Interactive Computing (IC) and the chief scientist with the Center for 21st Century Universities (C21U).

In this talk he gave at TEDx FHKufstein, Bernhard Schindlholzer contemplated the implications of ephemeralization - the ability of technological advancement to do "more and more with less and less until eventually you can do everything with nothing" - through artificial intelligence and machine learning. He explores the challenges that this technological approach poses to our economy and, furthermore, how they could be addressed by questioning established norms of our education systems. Dr. Bernhard Schindlholzer is a technology manager working on Machine Learning and E-commerce.

In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. With Amazon SageMaker Clarify and Amazon SageMaker Data Wrangler, you will analyze a dataset for statistical bias, transform the dataset into machine-readable features, and select the most important features to train a multi-class text classifier. You will then perform automated machine learning (AutoML) to automatically train, tune, and deploy the best text-classification algorithm for the given dataset using Amazon SageMaker Autopilot. Next, you will work with Amazon SageMaker BlazingText, a highly optimized and scalable implementation of the popular FastText algorithm, to train a text classifier with very little code. Practical data science is geared towards handling massive datasets that do not fit in your local hardware and could originate from multiple sources.

AI and machine learning models are thriving in the global tech market with their smart capabilities for a diverse range of industries. The educational industry has started harnessing AI and machine learning models as well as providing online courses with certificates. There are multiple machine learning online courses available on the internet for interested students and working professionals to brush up on the skills. It is gaining a wide array of recognition across the world besides the traditional five engineering courses. Let's explore some of the top machine learning online courses available for aspiring machine learning engineers, machine learning instructors, applied scientists in machine learning, machine learning researchers, machine learning consultants, and many more.