Saying Azure Machine Studying scholarships and programs with Udacity
The demand for synthetic intelligence (AI) and information science roles continues to rise. In line with LinkedIn’s Rising Jobs Report for 2020, AI specialist roles are most wanted with a 74 p.c annual development price in hiring during the last 4 years. Moreover, the present international well being pandemic has powered a shift in direction of distant working in addition to an elevated curiosity in skilled coaching assets. To handle this demand, we’re saying our collaboration with Udacity to launch new machine studying programs for each freshmen and superior customers, in addition to a scholarship program.
By way of these new choices, Microsoft goals to assist develop the expertise pool of information scientists and enhance entry to schooling and assets to anybody . I not too long ago sat down for a chat with Udacity CEO, Gabe Dalporto, to speak about this collaboration.
Udacity is a digital schooling platform with over 250,000 at present lively college students. Their college students have expressed continued curiosity in introductory machine studying (ML) content material that doesn’t require superior programming data. In response, Microsoft Azure and Udacity have created a singular free course based mostly on Azure Machine Studying. This Introduction to machine studying on Azure course will assist college students be taught the fundamentals of ML by a low-code expertise powered by Azure Machine Studying’s automated ML and drag-and-drop capabilities. College students can have the chance to be taught utilizing Azure Machine Studying hands-on labs straight inside the Udacity classroom and develop the foundations for his or her information science expertise.
For superior customers, we’re providing a brand new machine studying Nanodegree Program with Microsoft Azure. On this program, college students will additional improve their expertise by constructing and deploying refined ML options utilizing common open supply instruments and frameworks similar to PyTorch, TensorFlow, scikit-learn, and ONNX. Utilizing Azure Machine Studying’s accountable ML and MLOps capabilities, college students will achieve expertise in understanding their ML fashions, defending individuals and their information, and controlling the end-to-end ML lifecycle at scale.
As a part of this collaboration, we’re providing the highest 300 performers of the free introductory course with scholarships to the Nanodegree Program, to allow them to proceed to develop their information science expertise. These new programs will empower extra college students to achieve proficiency in information science and AI. Extra particulars on this system could be discovered on the course web page.