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Microsoft Learn is a library of technical documentation and training for end users, developers, and IT professionals who work with Microsoft products. Microsoft Learn was introduced in September 2018. [1] In 2022, Microsoft Docs, the technical documentation library that had replaced MSDN and TechNet in 2016, was moved to Microsoft Learn. [2] [3]
In February 2021, Agiliway launched the free Agiliway Training Center with a Clojure Internship Program offering scholarships for best students. Since then, Agiliway Training Center conducted variety of programs in topics, like Clojure, .NET, Java, React, Microsoft Azure, and others. [ 5 ]
LinkedIn Learning was founded as Lynda.com in 1995 in Ojai, California, as online support for the books and classes of Lynda Weinman, a special effects animator and multimedia professor who founded a digital arts school with her husband, artist Bruce Heavin.
IBM SkillsBuild is a free education program focused on underrepresented communities in tech, that helps adult learners, and high school and university students and faculty, develop valuable new skills and access career opportunities. The program includes an online platform that is complemented by customized practical learning experiences ...
Discover the best free online games at AOL.com - Play board, card, casino, puzzle and many more online games while chatting with others in real-time.
Microsoft Azure, or just Azure (/ˈæʒər, ˈeɪʒər/ AZH-ər, AY-zhər, UK also /ˈæzjʊər, ˈeɪzjʊər/ AZ-ure, AY-zure), [5] [6] [7] is the cloud computing platform developed by Microsoft. It has management, access and development of applications and services to individuals, companies, and governments through its global infrastructure.
The platform offers over 250,000 courses, and more than 75,000 instructors teaching courses in 75 languages. The company claims it has nearly 17,000 Udemy Business customers, and also claims that more than 50% of the Fortune 100 are Udemy Business customers. [3] Students take courses primarily to improve job-related skills. [5]
Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. [1] High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to ...
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