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Updated in [March 06th, 2023]

Secure and Private AI is a free course that introduces students to three cutting-edge technologies for privacy-preserving AI: Federated Learning, Differential Privacy, and Encrypted Computation. Students will learn how to use the newest privacy-preserving technologies, such as OpenMined's PySyft. PySyft extends Deep Learning tools—such as PyTorch—with the cryptographic and distributed technologies necessary to protect data privacy. The course will also cover the fundamentals of privacy-preserving AI, including the privacy-utility tradeoff, the concept of differential privacy, and the basics of secure multi-party computation. By the end of the course, students will have a solid understanding of the principles and techniques of privacy-preserving AI and be able to apply them to their own projects.

[Applications]
The application of this course can be seen in various areas such as healthcare, finance, and education. Healthcare organizations can use Federated Learning to securely share patient data while preserving privacy. Financial institutions can use Differential Privacy to protect customer data while still allowing for data analysis. Educational institutions can use Encrypted Computation to securely share student data while preserving privacy. By understanding the principles of Secure and Private AI, organizations can ensure that their data is secure and private while still allowing for data analysis.

[Career Paths]
1. AI Security Engineer: AI Security Engineers are responsible for developing and implementing security measures to protect AI systems from malicious attacks. They must have a deep understanding of AI technologies, cryptography, and security protocols. As AI technology continues to evolve, AI Security Engineers will be in high demand to ensure the security of AI systems.

2. AI Privacy Officer: AI Privacy Officers are responsible for ensuring that AI systems comply with data privacy regulations. They must have a deep understanding of data privacy laws and regulations, as well as the ability to develop and implement policies and procedures to ensure compliance. As AI technology continues to evolve, AI Privacy Officers will be in high demand to ensure the privacy of AI systems.

3. AI Ethicist: AI Ethicists are responsible for ensuring that AI systems are developed and used ethically. They must have a deep understanding of ethical principles and the ability to develop and implement policies and procedures to ensure ethical use of AI systems. As AI technology continues to evolve, AI Ethicists will be in high demand to ensure the ethical use of AI systems.

4. AI Researcher: AI Researchers are responsible for researching and developing new AI technologies. They must have a deep understanding of AI technologies and the ability to develop and implement new algorithms and techniques. As AI technology continues to evolve, AI Researchers will be in high demand to develop new AI technologies.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree program provides students with a comprehensive understanding of computer science fundamentals, including programming, algorithms, data structures, operating systems, and computer architecture. Students will also learn about the latest developments in artificial intelligence, machine learning, and data science. This degree is ideal for those interested in developing secure and private AI applications.

2. Master of Science in Cybersecurity: This degree program provides students with a comprehensive understanding of cybersecurity principles and technologies. Students will learn about the latest developments in cryptography, network security, and secure software development. This degree is ideal for those interested in developing secure and private AI applications.

3. Master of Science in Data Science: This degree program provides students with a comprehensive understanding of data science fundamentals, including data mining, machine learning, and artificial intelligence. Students will also learn about the latest developments in data privacy and security. This degree is ideal for those interested in developing secure and private AI applications.

4. Doctor of Philosophy in Computer Science: This degree program provides students with a comprehensive understanding of computer science fundamentals, including programming, algorithms, data structures, operating systems, and computer architecture. Students will also learn about the latest developments in artificial intelligence, machine learning, and data science. This degree is ideal for those interested in researching and developing secure and private AI applications.