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Second Course of The Private AI Series released by OpenMined

In collaboration with the renowned technology PyTorch, Oxford, and Facebook AI, OpenMined has released its second free course of the Private AI Series. Well, the second course by Foundations of Private Computation highly focused on educating techniques like federated learning, split neural networks, homomorphic encryption, Cryptography, and many others.

Well, the Private AI Series involves four courses in which the first course was released at the starting of this year. Unlike the first course which sets the introduction of the entire series. Well, the second course is the technology is the technical and needs learners with the knowledge of Numpy and/ or PyTorch.

However, the first lesson of the second course was released on 17th March and over the weeks, and soon more lessons will be released. The second course is of 60 hours long which involves the project at the end. Though it is a free course, OpenMined had assured that the learners get their queries cleared by the mentors. By slack community and course discussion board, you can communicate to engage more mentors and learners.

Notably, the OpenMined course standout from the rest in the markets is its instructors who are the developers of the tools or algorithms of private related technologies and experts in the domain.

Ai has created a huge impact in revamping the way everyone can carry out personal or professional work. However, privacy concerns are impeding the impending embracement of AI that is highly regulated sectors like healthcare, finance, and others.

One of the prime way to eradicate the privacy challenges which is educated by learners and developing a workforce which can bring a change by growing trust among the users. Thus, this will assure users trust providing their data on others’ hands, the AI industry has processed data without exposing the personal information.

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