Homomorphic Encryption and Privacy in AI Models Course + 8 ECTS Credits

Online Training

Homomorphic Encryption and Privacy in AI Models Course + 8 ECTS Credits

Name: Homomorphic Encryption and Privacy in AI Models Course + 8 ECTS Credits en Chile
Brand: INESEM - INSTITUTO EUROPEO DE ESTUDIOS EMPRESARIALES
SKU: 417724-2503
Availability: InStock

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200 hours

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8 ECTS

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Spanish

In today's era, where data is the new oil and Artificial Intelligence (AI) drives innovation, data privacy has become a critical concern. The growing adoption of AI models in the cloud and with sensitive data underscores the need for technologies that enable processing without exposing the original information. Homomorphic Encryption emerges as a revolutionary solution, allowing calculations to be performed directly on encrypted data without the need to decrypt it. The Homomorphic Encryption and Privacy in AI Models course addresses the demand for expert people, capable of implementing AI solutions that guarantee privacy, crucial in sectors such as health or finance.

Instituciones educativas

$282.900

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Details to take into account

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Multilingual support

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Digital certificate included

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Assistant Phia

Objectives

- Identify applications of homomorphic encryption in AI. - Understand the principles of homomorphic encryption. - Apply homomorphic encryption schemes to data. - Integrate homomorphic encryption into Machine Learning models. - Evaluate the impact of privacy on AI design. - Develop AI solutions that protect confidentiality.

Content

Career opportunities

Career opportunities for the Homomorphic Encryption and Privacy in AI Models course include roles in Machine Learning engineering with specialization in privacy, applied cryptography, secure AI solution architecture, and privacy and data protection consulting. This training opens doors in technology companies, financial institutions..., among others.

What it prepares you for

Upon completing the Homomorphic Encryption and Privacy in AI Models course, students will be able to design and implement AI models that operate on encrypted data, guaranteeing the privacy and security of the information. Skills will be acquired to select the appropriate homomorphic encryption scheme, integrate it into Machine Learning workflows, and evaluate its performance and security.

The Homomorphic Encryption and Privacy in AI Models course is aimed at Machine Learning, data science, AI research, cybersecurity, software development and privacy professionals, with an interest in data protection in Artificial Intelligence environments. It is ideal for those looking to delve deeper into homomorphic encryption techniques and their application.

Our training is 100% online, which allows students to self-regulate their study and adapt it to their own needs. We are committed to personalized and autonomous teaching, with an approach based on critical thinking and constructivism.

We have a highly specialized teaching team that will accompany you throughout the entire teaching-learning process. This will allow you to personalize your training even more, since we adapt to your pace and needs.

You will have access to our learning platform, MyLXP, from any device and at any time of the day, allowing you to decide how and when to study. All of this is possible thanks to our Educa LXP (Learning Experience Platform) methodology, an environment designed to boost your educational progress, encourage innovation and offer a personalized learning experience adapted to each need.