Microsoft’s initiative to provide Free courses in cutting-edge areas like Artificial Intelligence (AI), Internet of Things (IoT), Machine Learning, and Data Science opens up exciting learning opportunities for individuals keen on upskilling in these domains.
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About the Microsoft
Microsoft Corporation is an American multinational corporation and technology company headquartered in Redmond, Washington. Microsoft’s best-known software products are the Windows line of operating systems, the Microsoft 365 suite of productivity applications, and the Edge web browser.
Its flagship hardware products are the Xbox video game consoles and the Surface lineup of touchscreen personal computers. Microsoft ranked No. 14 in the 2022 Fortune 500 rankings of the largest United States corporations by total revenue; and it was the world’s largest software maker by revenue in 2022 according to Forbes Global 2000. It is considered one of the Big Five American information technology companies, alongside Alphabet (parent company of Google), Amazon, Apple, and Meta (parent company of Facebook).
it was founded by Bill Gates and Paul Allen on April 4, 1975, to develop and sell BASIC interpreters for the Altair 8800. It rose to dominate the personal computer operating system market with MS-DOS in the mid-1980s, followed by Windows.
The company’s 1986 initial public offering (IPO) and subsequent rise in its share price created three billionaires and an estimated 12,000 millionaires among Microsoft employees. Since the 1990s, it has increasingly diversified from the operating system market and has made several corporate acquisitions, the largest being the acquisition of Activision Blizzard for $68.7 billion in October 2023, followed by its acquisition of LinkedIn for $26.2 billion in December 2016, and its acquisition of Skype Technologies for $8.5 billion in May 2011
Here Are Microsoft’s Free courses
1. Artificial Intelligence (AI) Course
Explore the world of Artificial Intelligence (AI) with Microsoft’s 12-week, 24-lesson curriculum! Dive into Symbolic AI, Neural Networks, Computer Vision, Natural Language Processing, and more. Hands-on lessons, quizzes, and labs enhance your learning. Perfect for beginners, this comprehensive guide, designed by experts, covers TensorFlow, PyTorch, and ethical AI principles. Start your AI journey today!”
In this curriculum, you will learn:
Different approaches to Artificial Intelligence, including the “good old” symbolic approach with Knowledge Representation and reasoning (GOFAI).
Neural Networks and Deep Learning, are at the core of modern AI. We will illustrate the concepts behind these important topics using code in two of the most popular frameworks – TensorFlow and PyTorch.
Neural Architectures for working with images and text. We will cover recent models but may lack a little bit on the state-of-the-art.
Less popular AI approaches, such as Genetic Algorithms and Multi-Agent Systems.
Course Link Click Here
2. Internet of Things (IoT) Course
Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about IoT basics. Each lesson includes pre- and post-lesson quizzes, written instructions to complete the lesson, a solution, an assignment and more. Our project-based pedagogy allows you to learn while building, a proven way for new skills to ‘stick’.
The projects cover the journey of food from farm to table. This includes farming, logistics, manufacturing, retail and consumer – all popular industry areas for IoT devices.
Course Link Click Here
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3. Data Science Course
Azure Cloud Advocates at Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science. Each lesson includes pre-lesson and post-lesson quizzes, written instructions to complete the lesson, a solution, and an assignment. Our project-based pedagogy allows you to learn while building, a proven way for new skills to ‘stick’.
Hearty thanks to our authors: Jasmine Greenaway, Dmitry Soshnikov, Nitya Narasimhan, Jalen McGee, Jen Looper, Maud Levy, Tiffany Souterre, and Christopher Harrison.
Special thanks to our Microsoft Student Ambassador authors, reviewers and content contributors, notably Aaryan Arora, Aditya Garg, Alondra Sanchez, Ankita Singh, Anupam Mishra, Arpita Das, ChhailBihari Dubey, Dibri Nsofor, Dishita Bhasin, Majd Safi, Max Blum, Miguel Correa, Mohamma Iftekher (Iftu) Ebne Jalal, Nawrin Tabassum, Raymond Wangsa Putra, Rohit Yadav, Samridhi Sharma, Sanya Sinha, Sheena Narula, Tauqeer Ahmad, Yogendrasingh Pawar, Vidushi Gupta, Jasleen Sondhi
Course Link Click Here
4. Machine Learning Course
Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 26-lesson curriculum all about Machine Learning. In this curriculum, you will learn about what is sometimes called classic machine learning, using primarily Scikit-learn as a library and avoiding deep learning, which is covered in our forthcoming ‘AI for Beginners’ curriculum. Pair these lessons with our ‘Data Science for Beginners’ curriculum, as well!
Travel with us around the world as we apply these classic techniques to data from many areas of the world. Each lesson includes pre- and post-lesson quizzes, written instructions to complete the lesson, a solution, an assignment, and more. Our project-based pedagogy allows you to learn while building, a proven way for new skills to ‘stick’.
Hearty thanks to our authors Jen Looper, Stephen Howell, Francesca Lazzeri, Tomomi Imura, Cassie Breviu, Dmitry Soshnikov, Chris Noring, Anirban Mukherjee, Ornella Altunyan, Ruth Yakubu and Amy Boyd
Thanks as well to our illustrators Tomomi Imura, Dasani Madipalli, and Jen Looper
Special thanks to our Microsoft Student Ambassador authors, reviewers, and content contributors, notably Rishit Dagli, Muhammad Sakib Khan Inan, Rohan Raj, Alexandru Petrescu, Abhishek Jaiswal, Nawrin Tabassum, Ioan Samuila, and Snigdha Agarwal
Course Link Click Here
Benefits of Microsoft’s Free Courses
Project-Based Learning: Engage in hands-on projects to apply theoretical knowledge practically.
Industry-Relevant Skills: Acquire skills aligned with industry demands in AI, IoT, Machine Learning, and Data Science.
Flexible Learning: Access courses at your convenience, allowing for self-paced learning and skill development.
Certification Opportunities: Enhance your credentials with certifications upon course completion, boosting your career prospects.
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